IMAGE PROCESSING-2020


digital image processing is the use of a digital computer to process digital images through an algorithm. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing.

Image processing based foot plantar pressure distribution analysis and modeling
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Although many equipments and techniques are available for plantar pressure analysis to study foot pressure distributions, there is still a need for mathematical modelling references to compare the acquired measurements. In order to derive formulas in this concern, this

Image processing and machine learning techniques used in computer-aided detection system for mammogram screening-A review
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This paper aims to review the previously developed Computer-aided detection (CAD) systems for mammogram screening because increasing death rate in women due to breast cancer is a global medical issue and it can be controlled only by early detection with regular

Eleventh International Conference on Graphics and Image Processing (ICGIP 2019)
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The papers in this volume were part of the technical conference cited on the cover and title page. Papers were selected and subject to review by the editors and conference program committee. Some conference presentations not be available for publication. Additional

Detection of Hydrothermal Alteration Zones using Image Processing Techniques,
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Use of satellite images to detect hydrothermal alteration zones can be helpful for efficient mineral explorations. Remote Sensing (RS) techniques make it possible to save cost and time for accurate primary explorations. The purpose of this research is to use the image

imageProcAnal: A novel Matlab software package for image processing and analysis
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In present study, I developed a powerful Matlab-based software package, imageProcAnal (Version 1.0), for image processing and analysis. Several modules were available for uses. Functions to resize, crop, rotate, dilate, pixelate and watermark images are included in Basic For calculating 3D information with stereo matching, usually correspondence analysis yields a so-called depth hypotheses cost stack, which contains information about similarities of the visible structures at all positions of the analyzed stereo images. Often those cost values

The impact of irreversible image data compression on post- processing algorithms in computed tomography
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PURPOSE We aimed to evaluate the influence of irreversible image compression at varying levels on image post- processing algorithms (3D volume rendering of angiographs, computer- assisted detection of lung nodules, segmentation and volumetry of liver lesions, and

Stress Detection in IT Professionals by Image Processing and Machine Learning
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The main motive of our project is to detect stress in the IT professionals using vivid Machine learning and Image processing techniques. Our system is an upgraded version of the old stress detection systems which excluded the live detection and the personal counseling but

Indian Currency Recognition and Authentication using Image Processing
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ABSTRACT A currency note is a type of a negotiable instrument made by a bank, payable to the bearer on demand. The Indian Rupee is the official currency of the Republic of India. Counterfeit money is imitation currency produced without the legal authorization of the state

Deep Reinforcement Learning and Image Processing for Adaptive Traffic Signal Control
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In this paper, a traffic control system is build which can easily keep traffic in control using image processing techniques and deep reinforcement learning is presented. In this method, a camera is used in each stage of the traffic light in order to capture the roads where traffic is

Enhancing Real-time Embedded Image Processing Robustness on Reconfigurable Devices for Critical Applications
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Nowadays, computer vision is one of the most evolving areas of Information Technology (IT). Digital image processing , ie, the use of algorithms to process and/or extract information from digital images, is being increasingly adopted in multiple application fields. In general, digital

Discussion on Image Processing for Sign Language Recognition: An overview of the problem complexity
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The goal of this paper is to conduct a literature study of the three phases of the process of developing an Automatic Sign Language Recognition (ASLR) system, in order to discuss the problem complexity, and show results of conducted tests using Digital Image Processing

Prediction of Land Cover Changes in Vellore District of Tamil Nadu by Using Satellite Image Processing
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Prediction of land cover changes is important to evaluate the land use or land cover changes to monitor the land use changing aspects for the Vellore district. Due to land use and land cover change, most of the rural areas around the Vellore district become unable to



Image processing and machine learning techniques used in computer-aided detection system for mammogram screening-A review
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This paper aims to review the previously developed Computer-aided detection (CAD) systems for mammogram screening because increasing death rate in women due to breast cancer is a global medical issue and it can be controlled only by early detection with regularPhotos play a critical role in online shopping. To examine their impact on consumers, most previous studies rely on human assessments to develop measures for photos. Such an approach limits the number of dimensions and samples that can be investigated in one Introduction This is a systematic review on the main algorithms using machine learning (ML) in retinal image processing for glaucoma diagnosis and detection. ML has proven to be a significant tool for the development of computer aided technology. Furthermore, secondary

Model Watermarking for Image Processing Networks.
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Deep learning has achieved tremendous success in numerous industrial applications. As training a good model often needs massive high-quality data and computation resources, the learned models often have significant business values. However, these valuable deep

APPLICATION OF NEUTROSOPHIC OFFSETS FOR DIGITAL IMAGE PROCESSING
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Neutrophic offsets are neutrosophic sets whose truth-values lie outside the interval [0, 1]. Uninorms are aggregation operators defined in fuzzy logic to generalize t-norms and t- conorms. They satisfy the axioms of symmetry, associativity, monotony and the existence ofEfficient quantum circuits for arithmetic operations are vital for quantum algorithms. A fault- tolerant circuit is required for a robust quantum computing in the presence of noise. Quantum circuits based on Clifford+ T gates are easily rendered fault-tolerant. Therefore Currently, the frequency of landslides is increasing. Scientific monitoring methods are playing an essential role in effectively reducing landslide disasters. This paper proposes a method for identifying the cracks at the trailing edge of a landslide (TEL) based on image A new technique to enhance hip fracture risk prediction in older adults was presented and assessed. The new method dramatically improved prediction at high specificity levels using only a standard clinical diagnostic scan. This has the potential to be implemented in clinicalThis research is aimed at accurate identification of base-curve in rigid gas-permeable (RGP) lens based on supervised image processing and classification of Pentacam four refractive maps in irregular astigmatism cases. Base-curve, is typically identified based on experts

Automatic sorting of recycled aggregate using image processing and object detection
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With the growth of population and expansion of cities, the use of recycled construction materials has attracted builders attention. Governments also initiate the utilization of environmental practices through legislation, regulations, and development controls. Despite

Introducing automatic satellite image processing into land cover mapping by photo-interpretation of airborne data
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A series of five land cover maps, widely known as COS (Carta de Uso e Ocupação do Solo), have been produced since 1990 for mainland Portugal. Previous to 201 all maps were produced through photo-interpretation of orthophotos. Land cover and land use changes There are situations when someone finds a certain object or its remains. Particularly the second case is complicated, because having only a part of the element, it is difficult to identify the full object. In the case of archeological excavations, the fragment should be

IMAGE PROCESSING : WHY QUANTUM
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Quantum Image Processing has exploded in recent years with dozens of papers trying to take advantage of quantum parallelism in order to offer a better alternative to how current computers are dealing with digital images. The vast majority of these papers define or makeIn digital image processing , image segmentation is the key methodology which is to be used frequently. In digital image processing , noise reduction and enhancement techniques are plays as a vital role. Brain is major and major organ of the human body which is to beCardiovascular diseases (CVD) seriously threaten the health of human beings, and they have caused widespread concern in recent years. At present, the diagnosis of CVD is mainly conducted by computed tomography (CT), echocardiography and nuclear magnetic

Image processing based method for checking defects on bottle devices
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Tube-like glass bottles are widely used in industrial and commercial. The quality control of glass bottles are important to ensure the safe delivery and correct amount of liquids held by the them. In this paper, we investigated the detection of defects on the bottle top and tried anEfficient utilization of on-chip Static Random Access Memory (SRAM) space is more important on processor core design in modern Field Programmable Gate Array (FPGA) based Digital Signal Processing (DSP) applications. In the proposed HighperformanceThis work demonstrates the practical infeasibility in the implementation of the techniques known as flexible representation of quantum images (and its variants) and novel enhanced quantum representation of digital images (and its variants). Besides, the implementation ofAt present, the photoelectric performance of infrared detectors has been effectively improved, but the research on photoelectric performance is still less and there is a lack of stable evaluation methods. In order to improve the efficiency of evaluating the photoelectric The digitized image has an important role in the compression. Compression encodes the image using a certain algorithm with less number of bits and decompression decoded this image in original form using a different algorithm. The clinical environment and hospitals are

Identification Of Visually Similar Vegetable Seeds Using Image Processing And Fuzzy Logic
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Computer vision and image processing have attracted more and more interest of researchers because of its wide applications in many fields. With this in consideration, this paper conducted a study comparison and identification of two vegetable seeds through The main goal of this paper was to examine whether image processing can be an effective tool in automatic quality control systems for furniture manufacturing, at least in cases where delamination is a key problem. Image processing turned out to be a very effective way of With the advent of image processing and computer vision for automotive under real-time constraints, the need for fast and architecture-optimized arithmetic operations is crucial. Alternative and efficient representations for real numbers are starting to be explored, andDue to the increasing shortage of fish in the seas, Vessel Monitoring Systems (VMS) play a very important role in fishing activity monitoring, control and surveillance. In this context, the detection of fishing activities in prohibited zones is a critical task. Although position, speedEven though numerous segmentation methods exist, the requirement of prior knowledge or parameter tuning makes them restricted to limited image domains. Without predefining solution models, genetic programming (GP) is able to solve complex problems by evolvingA system of obtaining image of surface of wire rope is designed in this paper. Three linear- array charge-coupled device industrial cameras are used, separated by 120 degrees in the same plane. The acquisition is realized by receiving the synchronous pulse transmitted by

Optimal Resource Allocation for Crowdsourced Image Processing
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Crowdsourced image processing has the potential to vastly impact response timeliness in various emergency situations. Because images can provide extremely important information regarding an event of interest, sending the right images to an analyzer as soon as possible Background To evaluate the clinical value of foetal intelligent navigation echocardiography (5D Heart) for the display of key diagnostic elements in basic sections. Methods 3D volume datasets of 182 normal singleton foetuses were acquired with a four chamber view by using

Identification of Cancer Disease Using Image Processing Approahes
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Cancer, also called malignancy, is an abnormal growth of cells. There are more than 100 types of cancer, including breast cancer, skin cancer, lung cancer, colon cancer, prostate cancer, and lymphoma. Symptoms vary depending on the type. Cancer treatment may The use of the selfie camera , which records many images and videos and shares them with others. Although this system is complex owing to its use of software-intensive technologies from the field of image processing , such as face detection, CAM-Shift, andTissue engineering needs versatile methods as a mean to monitor morphological and functional success of the constructs such as scaffolds and implants. In this study, electrospun scaffolds based on poly (caprolactone)(PCL) were fabricated by electrospinning method andAbstract In the Worlds Cultural Heritage, stone monuments are a valuable treasure. The alarming increase of weathering damage on an ancient monument is leading to complete or partial destruction of heritage structures in the world. Early detection of such decaying isThis research proposes a high-performance Carry Select Approximate Full Adder (CSAFA) with one error out of the eight possible output cases for high accuracy 8-bit pixel depth image processing applications. The logic optimization of the proposed CSAFA module is Several applications such as signal processing , multimedia and big data analysis exhibit computational error tolerance. This tolerance can be exploited to achieve efficient designs by sacrificing accuracy. Therefore, approximate computing presents a new design paradigmIn this paper, we present a fast boundary integral equation method for the numerical conformal mapping and its inverse of bounded multiply connected regions onto a disk and annulus with circular slits regions. The method is based on two uniquely solvable boundaryThe trend of researches in cognitive reading has become so popular in programming area in the field of computer science from late 1990s when scientists and researchers show more interests in computational approaches are complex in nature to derive from a knownThis volume entitled Intelligent Computing: Image Processing Based Applications contains ten research papers out of which a few papers are an extended versions of the 5th International Conference on Opto-Electronics and Applied Optics (OPTRONIX 2019) heldAbstract The Reversible Data Hiding (RHD) is the one of the useful technologies to solve the issues in multimedia security. The lossless data hiding is the most promising data technique; it needs to provide the complete data with a cover media after embedded data is retrievedWith the continuous development of computer technology, machine vision and image processing algorithms, peoples research on mobile robots with vision systems is becoming deeper and deeper. This paper studies the related problems of visual image processing of

Petrographic Microscope Digital Image Processing Technique for Texture and Microstructure Interpretation of Earth Materials
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The technique of description and characterization of rocks with the aid of a polarized light microscope is a well-established practice in the fields of mineralogy and petrology. However, because geological materials are inherently highly variable on a small scale

Nutrient deficiency detection in maize (Zea mays L.) leaves using image processing
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Maize is one of the worlds leading food supplies. Therefore, the crops production must continue to reproduce to fulfill the market demand. Maize is an active feeder, therefore, it need to be adequately supplied with nutrients. The healthy plants will be in deep green colorThe industrial production of lithium-sulfur batteries has become a problem, and the core problem of lithium-sulfur batteries lies in the positive electrode materials. This paper is mainly to improve the cathode material of lithium-sulfur batteries. In order to improve the Estimating the contact angle in very complex rock pores presents some challenges to accurately identify the fluid rock contact surface. This work presents a methodology to estimate the contact angle formed by the brine rock and the brine oil interfaces on

Unmanned Vehicle Route Tracking Method Based on Video Image Processing .
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Most unmanned vehicle path tracking methods ignore video image processing , resulting in a lot of interference information and severe distortion in the original video image , unable to accurately obtain road information, and reducing the accuracy of path tracking. This paperA patient in coma condition needs intense monitoring and care, but nowadays shortage of intensivist and critical care nurses is the major problem faced by the hospitals. Traditional method of monitoring ICU patients requires dedicated proactive observer to look at theThis study compares published algorithms for the detection of bone diseases particularly osteoporosis (which is characterized by low level of bone mineral density and porosity due to microarchitectural deterioration) with claimed accuracy on based on the author selected

Optimal image processing acquisition parameters for a tool condition monitoring system of ceramic inserted tools
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During the process of machining different super alloys, ceramic cutting tools are being widely used, being very hard materials with very high heat resistance. Additionally, when rough milling nickel-based super alloys at high speeds, SiAlON (solid solutions based on

Modelling of Soil Displacement Resulting from Sweep during Tillage Operation Using Image Processing
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The study of soil particles displacement through the passage of a tillage blade can lead to an appropriate geometrical design of soil-engaging tools, which can reduce the energy consumption required for tillage. In this study, soil displacement by a conventional sweepAs a newly emerging technology, deep learning is a very promising field in big data applications. Remote sensing applications often involve huge volume data obtained daily by numerous in-orbit satellites. This makes it a perfect area for data-driven applications. Over

Defect Detection for Forged Metal Parts by Image Processing
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Forging is the process of forming and shaping metals by making use of hammering or pressing. Forging is one of the main processes in metal production. Keeping quality of forged parts high is very important from the viewpoint of performance or safety of the

ExTemp: A computational and image - processing suite for extracting temporal barcodes
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We provide a package for fast and accurate extraction of temporal barcodes from a stack of microscopy images. This includes several steps such as object detection and tracking, 3D drift detection and correction, signal processing and denoising, and barcode extraction. A

Facial Emotion Detection for Educational Purpose Using Image Processing Technique
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Human emotion usually changes based on its surrounding and different actions taken. Facial expression is a non-verbal communication made by students in the classroom which can help lecturer received feedback on how student react during lecture session. Different

Soft Computing Techniques for Various Image Processing Applications: A Survey
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Soft computing techniques have found numerous applications in various domains of image processing and computer vision. This paper represents a survey on various soft computing methods-fuzzy logic, neural network, neuro-fuzzy systems, genetic algorithm, evolutionary

Image Processing
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The papers in this volume were part of the technical conference cited on the cover and title page. Papers were selected and subject to review by the editors and conference program committee. Some conference presentations not be available for publication. Additional Memetic algorithms (MAs) are a class of stochastic global search heuristics in which the problem-specific solvers are combined with meta-heuristics approaches. MAs might be implemented by incorporating heuristics, approximation algorithms, local search techniques

Hardware/Software Implementation of Image Processing Systems Based on ARM Processor
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In this paper we present a hardware/software platform for real-time image processing . We start with the creation of the hardware part based on the ARM processor (PS) with various drivers (PL) for reading, recording and displaying images. Using the SDK tool (Software

E-ASSEMENT USING IMAGE PROCESSING FOR INFINITE EXAMS
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This paper features a software system called∞ Exams (Infinity Exams) which supports (primarily in higher education) paper-based examination and makes it easier, more comfortable and speeds up the whole process while keeping every single positive attribute

FPGA-BASED DIGITAL IMAGE PROCESSING ALGORITHMS IMPLEMENTATION OVERVIEW
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Devices, that FPGAs use, are very popular today. These devices contain FPGA as a part of system-on-a-chip (SoC) or as an independent integrated circuit. FPGA (field- programmable gate array) is a digital integrated circuit consisting of programmable logic

Detection of Hydrothermal Alteration Zones using Image Processing Techniques, Chahr Gonbad, Iran
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Use of satellite images to detect hydrothermal alteration zones can be helpful for efficient mineral explorations. Remote Sensing (RS) techniques make it possible to save cost and time for accurate primary explorations. The purpose of this research is to use the image

Melanoma Diagnosis using Image Processing
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Melanoma is a life-threatening skin cancer. Hence it must be diagnosed early. For this purpose, there must be a computerized tool to examine the presence of melanoma and type of skin lesions for further treatment. In this work, a system for diagnosing melanoma is

Analytical Study on Digital Image Processing Applications
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The extreme flexibility of the digital method of image processing makes a wide variety of linear and nonlinear processes possible. The digital image processing techniques developed have been applied to images from a wide range of disciplines. In this paper, we

IMAGE PROCESSING IN MULTIMEDIA APPLICATIONS
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Abstract Picture Handling in Sight and sound Applications treats various basic themes in mixed media frameworks, as for picture and video preparing methods and their executions. These procedures incorporate the Picture and video pressure methods and measures, and

Estimation of tertiary dentin thickness on pulp capping treatment with digital image processing technology.
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Dentists usually observe the tertiary dentin formation after pulp capping treatment by comparing periapical radiograph before and after treatment visually. However many dentists find difficulties to observe tertiary dentin and also they can‟ t measure exactly the thickness

Image Processing Techniques for Identifying Impostor Documents Through Digital Forensic Examination
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In the past few years, the use of digital photography has increased, a development that opens the door to new and innovative ways of creating images. There are now many applications for a day that is used to modify the image so that the image looks like the

Real-Time Image Processing and Deep Learning 2020
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The papers in this volume were part of the technical conference cited on the cover and title page. Papers were selected and subject to review by the editors and conference program committee. Some conference presentations not be available for publication. Additional

Image Processing through Linear Algebra
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The purpose of this project is to develop various advanced linear algebra techniques that apply to image processing . With the increasing use of computers and digital photography, being able to manipulate digital images efficiently and with greater freedom is extremely

Determining Roads Asphalt Damage with Image Processing Algorithms in MATLAB
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In recent years, a new application making image processing so significant is the use of image processing techniques (IPTs) in urban planning and road construction to facilitate work and enhance the rate of detecting asphalt damage on road surfaces using the

Fake Currency Detection Using Digital Image Processing
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Fake currency is impersonation currency delivered without the legitimate authorization of the state or government. Delivering or utilizing counterfeit currency is form of wrong representation or forgery. During current years, because of the extraordinary innovative

imageProcAnal: A novel Matlab software package for image processing and analysis
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In present study, I developed a powerful Matlab-based software package, imageProcAnal (Version 1.0), for image processing and analysis. Several modules were available for uses. Functions to resize, crop, rotate, dilate, pixelate and watermark images are included in Basic

Plant disease identification using image processing
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Detection of plant disease in an early stage is highly crucial. Disease symptoms are seen in different parts of a plant; however plant leaves are found to be the most commonly observed part of plant for detecting an infection. We have thus attempted to automate the procedure of

Plant Disease Detection using Image Processing
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Plant disease detection system has been a necessity for cultivators as detection of a correct disease might lead to a proper yield and effective growth of the plant. The proposed plant disease detection methodology aims at identifying tomato plant diseases from digital images

Corrosion Detection by Image Processing
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Corrosion is an electro chemical reaction that occurs if the coating gets damaged even in a small area or if it develops cracks or if the thickness of the coating is not adequate. In India the losses have been estimated approximately of 2 000 Crores Rupees per Year due to the

Determination of Malaria Parasite Concentration using Image Processing
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Malaria be a severe communicable disease caused by feminine genus Anopheles mosquito. In 2016 alone 216 million cases of protozoal infection occurred worldwide and 445000 died. Thus treatment ought to be initiated as shortly as attainable. Except species of

Oil Spills Impact using Image Processing
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Marine life be a huge ecosystem that faces many threats, the most important one being pollution. And one among the main contamination sources are oil spills. Oil spills are often devastating, especially when a large area of the ocean/sea is covered with it. The oil that

Leaf Disease Detection using Image Processing
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The revelation of plant disease is a prominent research theme in the field of computer science. With the aid of Intelligent systems, the diseases can be detected effectively. The plant leaves are mainly affected by varied micro organisms. This paper centers on the

DISCOVERY OF MELANOMA CARCINOMA USING IMAGE PROCESSING APPROACH
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Basal cell carcinoma develops in the cells within the epidermis the highest or outer layer of the skin. Exposure to UV radiation is the main reason that causes skin cells to become cancer cells. Melanoma carcinoma are curable at early stages. To overcome the stated

Hand-Written Character Identification from an Image by using Digital Image Processing
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Handwritten character extraction from an image is a very task on image processing because handwriting varies from individual to individual. The styles, sizes and its direction make it much progressively complex to interpret the text. The different uses of transcribed text in

DETECTION OF LEAF DISEASE AND CLASSIFICATION USING IMAGE PROCESSING
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Pest detection techniques is recently increasing in order to grow the productivity and quality of yield. To improve crop productivity disease identification is very much important, but some diseases cannot be identified at early stage by farmers and the crop will harm. Hence to

Automated Brain Tumor Detection Identification using Image Processing
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MRI Imaging play an important role in brain tumor for analysis, diagnosis and treatment planning. Its helpful to doctor for determine the previous steps of brain tumor. Brain tumor detections are using MRI images is a challenging task, because the complex structure of the

Fire Detection Using Digital Image Processing
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The process of oxidation of any material in the exothermic process of combustion, releasing heat and light as byproducts, is called Fire. The light parameter and the color of the flame help in detecting fire. Fire detection using color information has many applications in

Digital Image processing in Biotechnology for Environment Protection
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Constant Monitoring and controlling the environment changes is one of the most important issues for pollution control. India is the nation who gives first choice for agriculture with various crops and plants. Only Human experts are not capable to monitor an access the

HUMAN ACTIVITY RECOGNITION USING DIGITAL IMAGE PROCESSING
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The paper presents Haar feature extraction classifier-based image processing technique for the analysis of human facial behavioral expressions. As an improvisation, some of instances misclassified by Haar classifier are further detected by subsequent classifier adaptive

Hemorrhagic Stroke Detection and area calculation using Image Processing
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S Dawd 2020 academics.su.edu.krdA stroke occurs when blood flow to an area of the brain is cut off. When this happens the brain, cells are deprived of oxygen and begin to die. A hemorrhagic stroke is when blood from an artery begins bleeding into the brain. This happens when a weakened blood vessel

Real Time Accident Avoidance Using Image Processing
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The increase in the number of vehicles has led to the rise in accidents. Most of these accidents are caused due to over speeding. According to World Health Organization (WHO) in 201 speeding killed 6 910 people in India and this number is increasing day by day

Raster Image Processing Overview of Mars: Deimos Satellite Image Overview
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As we all know mars is one of the smallest planet in the solar system. The rank of this planet in the system is second regarding the smallest planet and its the fourth planet which also dint of by the sun. It has an effect of iron oxide on its surface thats why scientists call it a red

Signature Detection using Image Processing and Matlab
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Signature has been a special feature that helps in unique identification of an individual. Mostly the business and financial transactions are done using this unique feature ie signatures. Keeping this fact in mind we need to provide automatic signature methods that

Insect Detection Using Image Processing and IoT
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We propose a software technique to automatically identify the insect infesting the plant. We have particularly chosen the region of Vidarbha (Maharashtra, India) and insects associated with the crops of this region. It is an improvement in existing technology as it provides faster

Automatic FPGA-based Hardware Accelerator Design: A Case Study with Image Processing Applications.
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We present a case study of automatic FPGA-based hardware accelerator design using our proposed framework with the image processing domain. With the framework, the ultimate systems are optimized in both performance and energy consumption. Moreover, using the

Melanoma Skin Cancer Detection using Image Processing
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Among the three basic types of skin cancer, viz, Basal Cell Carcinoma (BCC), Squamous Cell Carcinoma (SCC) and Melanoma, Melanoma is the most dangerous in which survival rate is very low. The proposed skin cancer detection technology is broadly divided into four

Automated Super Shop using image processing (Python)
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Unstaffed retail shop is been emerging out in the past years and has significantly affected conventional shopping styles. In this area, unmanned retail container plays anvery important role, it can highly influence the shopping experience of user. the traditional way based on

Binary Image Processing Operations with Modified Cellular Neural Networks
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The CNN literature provides a series of templates and algorithms, which implement a large variety of image processing tasks, both on grayscale and binary images. This paper presents several binary image processing operations, using a modified model for the Acoustical imaging has been growing rapidly during the last 40 years. It is nowadays a very useful tool for non-destructive testing and medical ultrasound imaging. Its status is catching up fast with X-ray and is at least now on par with X-ray on the market share as it has the

IOT AND IMAGE PROCESSING BASED SMART IRRIGATION SYSTEM
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This paper is based on Internet of Things (IoT) and Image Processing smart farming, which is built for monitoring the crop field with the help of sensors and automating the irrigation system process. The farmers can monitor the field conditions from anywhere. IoT and Image Recent improvements in artificial intelligence, big data and machine learning have enhanced the importance of biomedical signal and image processing research. Biomedical signal processing requires the analysis of measurements at specific periods in time and

Detection of Pothole by Image Processing Using UAV
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Revised: 05-05-2020 Accepted: 08-05-2020 Published: 11-05-2020 Abstract: Potholes on road can generate costly damage to flat tire or can cause wheel damage of motor cycle. Especially in India vehicle collision and major accidents happens due to immense depth of

An Impressive Quantum Prescription of Image Processing Algorithms
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The quantum advancement seems, by all accounts, to be a dominating technology around the most ensuring advancements for building a future figuring schema. Opening and closing are two important operators from the field of mathematical morphology. Opening removes

Image Processing Based Driving Assistant System
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Rapid industrialization and the consequent urbanization has brought about an unprecedented revolution in the growth of motor vehicles all over the world and India is no exception. Such growing urbanization, combined with rising number of vehicle ownership

Perception by Image Processing in Citrus Fruits for Citrus Cancer
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Plant leaf disease is one of the dangerous causes for heavy loss of yield that reduce quantity and reduces quality of the agricultural invention Citrus plants such as lemon are mainly affected by citrus canker disease which affects the fruit production of the plants. Early canker

Mobile Multimedia/ Image Processing , Security, and Applications 2020
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The papers in this volume were part of the technical conference cited on the cover and title page. Papers were selected and subject to review by the editors and conference program committee. Some conference presentations not be available for publication. Additional
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