image processing IEEE PAPER 2022


Image processing is a method to perform some operations on an image, in order to get an enhanced image or to extract some useful information from it. It is a type of signal processing in which input is an image and output may be image or characteristics/features associated with that image.







The CTSimU software toolbox for CT-related image processing and quality assessment
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the ability to batch-process entire image stacks. Aspects of CT : image conversion, 2D image processing image quality Python workflows concerning 2D image processing or qualityThe popularization of electronic clinical medical records makes it possible to use automated methods to extract high-value information from medical records quickly. As essential

Computed tomography scans image processing for nasal symptoms severity prediction.
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(CT) scan image processing to correlate the image analysis with We employ image processing techniques to correlate the In our study, we find that image processing techniques can be Correction to: Analysis of Algorithms in Medical Image Processing Correction to: Chapter Analysis of Algorithms in Medical Image Processing in: A. To et al. (eds.), In the

Markov random fields model and applications to image processing
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and to the fact that they gives raise to stochastic image models. In this work, we will consider provide applications of MRFs in image processing where the image intensity at a particular

Geometric Sample Area Correction of an IEF Gel in a Newborn Screening Application Using Image Processing Methods
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2.3 Gel image processing In this section, some of the image processing techniques used in In addition to visually inspecting a two-dimensional (2D) image the image can be

Performance analysis of various types of surface crack detection based on image processing
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system based on image processing designed in this image was then pre-processed by converting the color images into grayscale images and various combinations of pre- processing

Design of Image Processing Techniques for Smart Real-Time Tracking System during Health Emergencies
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The paper also depicts some of the popular image processing techniques such as SVM classifier, CLAHE, histograms that can be implemented in the emergency automatic parking

Detecting Brain Tumor by Using Machine Learning and Image Processing Techniques
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In addition, by using machine learning and image processing methods, the missed In this project; We will detect the brain images in our selected dataset using image processing and

Quantized and adaptive memristor based CNN (QA-mCNN) for image processing
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In this section, two kinds of applications on image processing has been analyzed to demonstrate images and contrast enhancement is also needed especially for image segmentation.

GTN Damage Modelling of the AA6063 Using Image Processing
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Image processing technique has been used to calculate the damage constant for the AA 6063. The image of the sample has been taken under a microscope of undeformed and

Selection of a suitable Software Development Methodology for Data Retrieval and Analysis to identify the associated people of Instagram by Image Processing
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So, this work is to present a methodology to retrieve and analyzes image data from the related individuals of Instagram using an Image Processing system, as well as the approaches I

Mathematical image processing meeting
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The first algorithm is based on an extension of a previous image denoising algorithm proposed by A. Chambolle using total variation, combined with irregular to regular sampling

MY DIETITIAN-MONITORING OF DIETARY HABITS BY MAINTAINING CALORIES COUNT THROUGH IMAGE PROCESSING
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This system presents an effective way to measure and manage the daily food intake of the user using image processing techniques. For that user first, take the image of the food and

Trigonometric Fmn-Transform of Multi-Variable Functions and Its Application to the Partial Differential Equations and Image Processing
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functions was presented in [26] and applied in image processing [2 29]. One of the goal of transform on image processing we use the trigonometric basis on compression of image .

Research on Water Seepage Detection Technology of Tunnel Asphalt Pavement Based on Deep Learning and Digital Image Processing
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With the rapid development of machine learning and image processing image recognition technology mainly de nes the diseased area through shallow features such as image

Identification of Idiocerus stali (Hem.: Cicadellidae) using image processing and artificial neural networks
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of artificial intelligence techniques such as image processing for the yellow cards using image processing techniques and artificial stali identification algorithm by image processing to

Image Processing of Low-Cost Endoscope for Observation of Blood Vessel of External Uterine Ostium and Vaginal Wall
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It was possible to obtain an endoscopic image more easily than the method using a image processing device. Since the blood vessel image could be clarified by image processing itThe face is that the identity of someone. The tactic to appear out this physical feature has seen an exquisite change since the advent of the image processing method. Attendance is

Automated Screening of Diabetic Retinopathy Using Image Processing
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Of The Art Image Processing Algorithms An overview of current state of art image processing The algorithms were classified in terms of five basic image processing and decision making

Image Segmentation and Optimization Techniques: A Short Overview
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image processing plays a key role in detecting objects and pattern recognition . It is necessary to develop an image has provided the solution to the image segmentation, where the

Artificial intelligence and image processing in the MIRET approach for the water detection and integrated geotechnical management of existing mechanized
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neural network processing and postprocessing. The image data and water defects annotations of the same shape. The defects annotations are in the form of a white background image

An Investigation of Parameters on Heat Transfer of Spacer Fabric Using Image Processing Method
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For this purpose, an image processing method was used to and the results of image processing with the clustering technique Image processing technique is proposed as an accurate

IMAGE COMPRESSION USING AI: BRIEF INSIGHTS INTO DEEP LEARNING TECHNIQUES AND AI FRAMEWORKS
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numerous modules for image compression functions, including image processing object detection and machine learning modules. You can use this library to obtain image data and

Medical Image Denoising Techniques: A Review
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a high-quality image in digital image processing for further image processing such as These techniques or approaches is subject to noise type exist in the image . To evaluate the

Convolution Neural Network (CNN) for Video Processing : A Survey
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of image processing ; now we wish to bring the same computation power in video processing too This paper deals with the detailed study of CNN which is used for video processing . This

TEXTURE FEATURE ANALYSIS OF AN IMAGE USING GRAY LEVEL CO-OCCURRENCE MATRIX.
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Texture Feature Extraction Using GLCM gives a basic idea about how image processing is done and how different features of an image can be extracted.As image processing means to Thus, partitioning clustering is used in many digital image processing fields, for example, airborne and medical image processing . The k-means and fuzzy c-means clustering

Performance Measure in Medical Image Denoising capabilities of Wavelet Transform and Diffusion Filter
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are used for image processing assessment of image quality is important. The examination of quality of the image is almost similar to the examination of similarity of the image in which

MFFNet: A multi-frequency feature extraction and fusion network for visual processing
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tremendous success in the areas of image processing and computer vision. However, they fusion network (MFFNet) to perform image processing tasks such as deblurring. MFFNet is

A NOVEL ENHANCED QUANTUM IMAGE REPRESENTATION BASED ON BIT-PLANES FOR LOG-POLAR COORDINATES
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4 Quantum image processing based on BRLQI In this section, we propose some circuit operations based on BRLQI for image processing . A grayscale image is used as an example to

Fuzzy-controlled Image Morse Code Input System
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includes the following three major parts: face image processing lip image recognition and translation into Morse codes, and a Morse code fuzzy recognition algorithm. After the Morse

Pyramid Image and Resize Based on Spline Model
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a digital image based on a spline model allows you to change the size of the image in any ( The scaling algorithm allows digital image processing at high computational speed due to with the development of image processing tools and advanced using image analytics for marketing are faced with a triple challenge: (1) To which type of research questions can image

Power Mean Based Image Segmentation in the Presence of Noise
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In image segmentation and in general in image processing noise and outliers distort challenge for accurate image segmentation results. To ensure a correct image segmentation in

Improved Image Denoising Using Wavelet Edge Detection Based on Otsus Thresholding
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Image denoising is one of the basic tasks for the researchers dealing with image processing since there occur distortions of images during the acquisition, processing compression

Innovative Monitoring Techniques for Wadi Flash Flood by Using ImageBased Analysis
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In this study, imagebased techniques were used to quantify and monitor flash floods in wadi in image processing such as the image resolution, image acquisition tools and image

Non-Uniform Illumination and Low Light Image Enhancement Techniques: An Exhaustive Study
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Fusion based method to improve low-light images using various mature image processing to break down an image observed in a reflectance image and a lighting image . Then you get

Generative Model for Autoencoders Learning by Image Sampling Representations
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So, the reduction of the ideal image concept to sampling representations of fixed (controlled) size is one A survey of perceptual image processing methods. In Signal Processing : Image

A Novel Image Splicing Detection Algorithm Based on Generalized and Traditional Benfords Law
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in image processing . This paper presents a novel forgery detection algorithm based on variants of Benfords law. In the proposed method, Mean Absolute Deviation (MAD) feature is

MINIMUM CROSS ENTROPY BASED IMAGE SEGMENTATION USING NEW OPTIMIZATION ALGORITHM
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solve multilevel thresholding problem in image segmentation. Several techniques image segmentation . In this study, in order to solve the multilevel thresholding problem in image

Generative Adaptive Convolutions for Real-world Noisy Image Denoising
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the structural contents and image textures, while eliminating Recent research on real-world noisy image denoising has image processing . Color and Imaging Conference, 6: 33 58.

Fast processing approach for near-field terahertz imaging with linear sparse periodic array
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environments), reducing the processing time is an important Therefore, in this paper, a fast processing approach based Fourier-based image reconstruction techniques such as fast

Image Mining Using Smart Multi-Agent System
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We conclude that the agents can be used at various image processing domains for performing various steps in the image mining process. These agents can be used to build modules at for image processing related problems and has overtaken the conventional, and handcrafted means of solving image The model was trained on a vehicle image dataset obtained from

Introduction to remote sensing
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Remote Sensing Basic Theory Image Processing Methods 19 23 September Course: Remote Sensing Basic Theory Image Processing Methods 19 23 September

Comprehensive Review of achine Learning (ML) in Image Defogging: Taxonomy of Concepts, Scenes, Feature Extraction, and Classification techniques
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Furthermore, CNN is the most used because of the capability of this model to deal with image processing problems. In terms of features, dark channel and colour in the foggy image are

Deep Learning Based Convolutional Neural Network Structured New Image Classification Approach for Eye Disease Identification
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Although computer image classification is now inevitably included processing speed and data processing capacity are taken into account [ 4], disease diagnosis with image processing

Digital Image Art Style Transfer Algorithm and Simulation Based on Deep Learning Model
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In digital image processing image style migration refers to the method of one image and the style features of another image separately, and then fusing them to generate an image with

Comparison of Copy-Move Image Forgery Detection Techniques
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Transform coding in image processing is based on the proposition that pixels in an image have a certain level of correlation with their neighbors. As a result, transformation is defined as

Underwater Image Enhancement Techniques: An Exhaustive Study
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The histogram equalization is a method to change the intensity and contrast of the image in image processing using the image histogram. The histogram equalization is useful in images

A Novel Image Encryption Approach for IoT Applications
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initial image processing was performed to obtain a new image with the same characteristics as the original image image into a processed image using the conformal mapping algorithm.

ANALYSIS OF IMAGE PREPROCESSING TECHNIQUES TO IMPROVE OCR OF GARHWALI TEXT OBTAINED USING THE HINDI TESSERACT MODEL
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Therefore, image pre processing is applied before passing it to OCR model. image pre processing . Section 3 explains all the methods/techniques we have used for image pre- processing

ImageBased Vehicle Detection using Various
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image from the DSLR camera as an image input that registers to the database. Then image output goes for the heat map that image implementation is a various processing power. We

Deep Learning Imagebased Design of Graphene-reinforced Polyurethane Foams
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Material science image data processing and analysis often require prior subject matter expertise and are labor and time intensive. Recently, various techniques leveraging computer

An improved pix2pix model based on Gabor filter for robust color image rendering
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the proposed method can achieve high-quality performance with image color rendering. At present, the image resolution of image processing based on deep learning is limited, which

Anomalous Detection in Noisy Image Frames using Cooperative Median Filtering and KNN.
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image data set is passed into the image pre processing the image is modelled from the sequence of image frames using the median modelling approach to extract the foreground image

Multiple endmember spectral mixture analysis of DESIS image to identify rooftops in Kigali
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entire image processing workflow, from data import, pre- processing data analysis, image to the image we realized this was the Kigali golf course being renovated (Humphreys).

An Integrated Deep Learning Framework for Fruits Diseases Classification
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Abstract: Agriculture has been an important research area in the field of image processing for the last five years. Diseases affect the quality and quantity of fruits, thereby disrupting the

High-fidelity Unsupervised Image to Image Translation with Domain Gap
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we map an image x from the X domain using G, an image y is might not be identical to the input image x. The mappings G for each image x from the domain X, an image translation to

image processing IEEE PAPER 2021




IMAGE PROCESSING PATTERN RECOGNITION
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Melanoma skin cancer is one of the most dangerous forms of skin cancer because it grows fast and causes most of the skin cancer deaths. Hence, early detection is a very important task to treat melanoma. In this article, we propose a skin lesion segmentation method for

3D Image Processing using Machine Learning based Input Processing for Man-Machine Interaction
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In various real time applications, several assisted services are provided by the human-robot interaction (HRI). The concept of convergence of a three-dimensional (3D) image into a plane-based projection is used for object identification via digital visualization in robotic

Review on emerging trends in detection of plant diseases using image processing with machine learning
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In India, about 70% of the population is involved in agriculture and farming. Today plant diseases are significant concern as it reduces the production and quality of agriculture produce. Most plant diseases are caused by bacteria, fungi and virus. Manual detection and

Toward developing tangling noise removal and blind inpainting mechanism based on total variation in image processing
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In the field of image processing tangling noise and artefacts elimination of objects are two essential tasks. Tangling noise and lack of intensity in certain applications also occur at the same time. In this paper, a new variational model is proposed based on total variation and l0

Brain Tumor Detection and Classification Using Image Processing Techniques
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At present, processing of medical images is a developing and important field. It includes many different types of imaging methods. Some of them are Computed Tomography scans (CT scans), X-rays and Magnetic Resonance Imaging (MRI) etc. These technologies allowThe presented paper introduces a novel method for enabling appearance modifications for complex image objects. Qualitative visual object properties, quantified using appropriately derived visual attribute descriptors, are subject to alterations. We adopt a basicThis paper present a survey of method used for detection of vegetable plant and fruit diseases with the help of image processing technique. The Image processing steps are such as image acquisition, image filtering then segmentation and identify and classify vegetable

A Hybrid Radix-4 and Approximate Logarithmic Multiplier for Energy Efficient Image Processing . Electronics 202 1175
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Multiplication is an essential image processing operation commonly implemented in hardware DSP cores. To improve DSP cores area, speed, or energy efficiency, we can approximate multiplication. We present an approximate multiplier that generates two partialDeep learning is undoubtedly a type of machine learning that uses a convolutional neural network structure which usually reveals significant assurance for image resolution requirements. It is progressively getting used by its unique trial in machine visionVisual applications have become widely known in many fields, including image processing personalization or object. Image processing is the process of performing certain functions in a duplicate, toward get an improved image or to abstract approximately useful information

REVIEW ON RUDIMENTS OF DIGITAL IMAGE PROCESSING
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The Fundamentals of digital image processing is an incredibly in-style topic within the field of analysis and development. The image processor be a giant analysis space to enhance the visibility of the associate input image and acquire some valuable info from it. In

Image Processing Based Detecting and Tracking for Security System
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Security systems are getting more attention and importance. Numeral security arrangements based on sensors and wireless communication are available in the form of mechanical and electronic applications. These systems are used widely in banks and government offices

A System Architecture in Multiple Views for an Image Processing Graphical User Interface
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Medical images are important components in modern health institutions, used mainly as a diagnostic support tool to improve the quality of patient care. Researchers and software developers have difficulty when building solutions for segmenting, filtering and visualizing

Categorizing and measurement satellite image processing of fire in the forest greece using remote sensing
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This paper has been utilized satellite Sentinel-2A imagery, this satellite is a polar-orbiting, multispectral high-resolution to cover Athens city, greece that located at latitude (37 58′ 46 ″) N,(23 42′ 58 ″) E., the work aims to measurement and study the wildfires natural

Ultrasonic Image Processing Based on DeepLab Network
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Because of its convenience and low price, ultrasound detection has been widely used in organ examination, especially in gynecological examination. Manual recognition and segmentation of the lesions in the image by the doctor is very heavy, and the doctors

Fire Detection using Image Processing
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Fire disasters have always been a threat to homes and businesses even with the various systems in place to prevent them. They cause property damage, injuries and even death. Preparedness is vital when dealing with fires. They spread uncontrollably and are difficult to

Resolution system based on Image processing Technology Applied to Logistics system
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The automatic identification technology of goods in intelligent three-dimensional warehouse has the problems of high cost of RFID electronic tag and low recognition rate of goods image recognition technology. This paper presents an automatic cargo image recognition method

A Review of Medical Image Segmentation Algorithms
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Since LBM has the benefits of speed and adaptability of modelling to guarantee excellent image processing quality with a reasonable amount of computer resources, we predict that this method will become a new research hotspot in image processingStudents attendance is vital in any academic institution as students are the primary stakeholders. There are different means of checking attendance, one of these is automated checking through scanning students id card using image processing . In Bohol Island State

Separation of Defected Products from Production Line with a Robotic Arm via Image Processing Methods
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This study detected the defected chocolate packages by image processing methods and separated them from the conveyor by a robotic arm. In the system, it was assumed that a conveyor belt system was set at the output of the packaging machine. The products

DETECTION OF BRAIN TUMOR USING IMAGE PROCESSING
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ABSTRACT The Brain Tumor is affecting many people worldwide. It is not only limited with the adulthood people but also detected within the early age. Brain Tumor is that the abnormal growth of cell inside the brain cranium which limits the functioning of the brain

Best ROI for image processing
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Using the dataset REFUGE, which included the ground truth optic disc segmentation for 1200 images, we explored what region of the image was the more indicated for glaucoma detection. We tested 3 regions, shown in Supp Figure 1: a) the full fundus image, b) the optic

DETECTION OF SKIN CANCER USING DEEP LEARNING AND IMAGE PROCESSING TECHNIQUE
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Disease comparable to dermatologists and could empower lifesaving and quick judgments, even external the clinic by means of establishment of applications on cell phones. As far as anyone is concerned, at present, there is no audit of the ebb and flow work in this

Twelfth International Conference on Graphics and Image Processing (ICGIP 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

DETECTION OF NUTRIENT DEFICIENCY IN PLANT LEAF IMAGE USING DIGITAL IMAGE PROCESSING
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Plants need 13 mineral nutrients to grow and survive. Toxicity or deficiency of one or more of these nutrients affects plant growth and can even lead to plant death. As a result, in order to increase production efficiency and yield, a continuous monitoring system is required to knowMathematical model providing the optimized result is always in the wish list of the researchers. Optimization algorithms minimize the objective function dependent on some internal parameters to get the target output. Thus, optimization algorithms came into picture

Euclidean Distance Filter for Image Processing
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General framework of image filters is mathematical calculations, especially probabilistic methods, on pixel values. Geometrical filters are missing components of image processing and as today, these is no analysis and contribution in this area. The key concept of geometrical filters

Social Distancing Detector using YOLO v3 Image Processing Algorithm
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The lack of public awareness and negligence, the pandemic due to coronavirus (covid19) has brought a global crisis with its deadly spread to more than 180 countries, and about 147 million confirmed cases along with 3.11 million deaths globally as of 26th April 2021. Due to

Video Classification using Image Processing Deep Learning Techniques
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Todays rapidly growing internet era has also increased the data in a very large amount for which the classification of the data has become more important than ever before. As daily millions of video are been uploaded on the internet usually it is been classified based on the

Automated System for Effective Control of Electrical Supply of Houses Using Image Processing
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With the introduction of smart homes and the integration of automation systems to control a given spaces functioning, we see an evolving need to optimize the integrated automation systems to meet the intelligence and controllability level of the client. The most appealingField of view (FOV) is a primary performance parameter of an electro optical system and describe the angular field in the object space is acquiring by the Electro Optical (EO) systems. Generally the FOV of EO system is measured using two axis rotating stage

Image Processing and Chaotic Functions for Secure Communications
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Lately, information security has become a great issue. Moreover, multimedia applications have widely spread and researchers are interested in searching for new ways of securing data. Two of the most important ways that are used for producing network security are

An Accurate Breast Cancer Detection and Classification using Image Processing
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In this research article, accurate breast cancer detection and classification are analyzed using image processing . An image processing includes pre-processing of the image which is used to remove the redundancy present in captured images without affecting the input

DESIGN OF ENERGY EFFICIENT APPROXIMATE MULTIPLIERS FOR IMAGE PROCESSING APPLICATIONS
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This research paper presents the design of two 8 8 approximate multipliers based on novel approximate 3: 2 and 2: 2 compressors. The proposed multipliers are derived based on Wallace multiplier architecture and herein referred to as the proposed approximate WallaceEstimating the age of human by analyzing the facial image using image processing and fuzzy logic techniques have lots of potential real-world application, such as human-computer interaction and multimedia communication. Several face detection methods are developed

Quantification of spatial metal accumulation patterns in Noccaea caerulescens by X-ray fluorescence image processing for genetic studies
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Results Image processing resulted in automated segmentation of µXRF plant images into petiole, leaf margin, leaf interveinal and leaf vasculature substructures. The harmonic means of recall and precision (F1 score) were 0.7 0.80, 0.6 and 0.6 respectively. Spatial metal

Measurement of Micro Burr and Slot Widths through Image Processing : Comparison of Manual and Automated Measurements
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In this study, the burr and slot widths formed after micro-milling process are investigated using a rapid and accurate image processing method. The measurements are obtained by processing the images and results were compared with a manual measurement method. In

Fault Detection of Mechanical Components Using Image Processing
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Fault Detection is very important in mechanical industry to detect objects with manufacturing defects and to isolate them. At present, fault detection is done manually when the mechanical components are transported for assembly and packing in an assembly line. This

Tomato leaf disease detection using image processing technique
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Agriculture is the backbone of India. It contributes nearly 17% of the total GDP and it employs more than 60% population. Now a days plants are severely affected by a different type of diseases. The agriculture industry in all over the world are affected by severe

Modeling Grape Leaf Quality Using Image Processing Technique
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Grapes are familiar fruits in the Mediterranean, Central Europe and Southwest Asia. Various components of this plant have many uses, including leaves used in the preparation of foods. The quality of the grape leaves is especially important for the preparation of food and this




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