image processing research paper


Review of the CLIP image processing system
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In this paper, the terms. pattern recognition and image processing will be considered only in relationship to optical or visual images, which will be expressed as two dimensional arrays of numbers, each number representing the image intensity in the corresponding

Human vision models for perceptually optimized image processing a review
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By taking into account the properties and limitations of the human visual system (HVS), images can be more efficiently compressed, colors more accurately reproduced, prints better rendered, to mention a few major advantages. To achieve these goals it is necessary to

Biomedical image processing in pathology: a review
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Pathologists make a diagnostic decision by viewing a specimen and measuring various diagnostically important attributes of an isolated object such as size, shape, darkness, colour and texture. This is a complex process. In recent years, computer-aided image processing

Image processing and machine learning for automated fruit grading system: a technical review
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In India, demand for various fruits and vegetables are increasing as population grows. Automation in agriculture plays a vital role in increasing the productivity and economical growth of the Country, therefore there is a need for automated system for accurate, fast and

A Review on Image and Video processing
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Abstract Image and Video Processing are hot topics in the field of research and development. Image processing is any form of signal processing for which the input is an image , such as photographs or frames of video; the output of image processing can be

Review of rice crop identification and classification using hyperspectral image processing system
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Digital image processing is collection of techniques for the manipulation of digital images by computer and its applications. This collection of methods in remote sensing is dominantly treated as Satellite Digital Image Processing (SDIP). A spaceborne Multispectral Image

Image processing techniques for brain tumor detection: A review
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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

Knee joint articular cartilage segmentation, visualization and quantification using image processing techniques: a review
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Knee is a complex and articulated joint of the body. Cartilage is a smooth hyaline spongy material between the tibia and femur bones of knee joint. Cartilage morphology change is an important biomarker for the progression of osteoarthritis (OA). Magnetic resonance

Review of Image Processing Techniques for Automatic Detection of tumor in human liver
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The review paper describes the various image processing techniques for automatic detection of tumor in human liver. Without a healthy liver a person cannot survive. It is a life threatening disease which is very challenging phenomenon for both medical and

Analysis of wheat grain varieties using image processing a review
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Globally, wheat is the leading source of vegetable protein in human food, having a higher protein content than other major cereals, maize (corn) or rice. In terms of total production tonnages used for food, India is currently second to wheat as the main human food crop and

Plant disease detection using image processing -a review
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This paper holds a survey on plant leaf diseases classification using image processing . Digital image processing has three basic steps: image processing , analysis and understanding. Image processing contains the preprocessing of the plant leaf as

Review of feature selection methods in medical image processing
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This seminar reviews features selection method of medical image processing . How image is selected by using different types of method like: screening, scanning and selecting. We discussed on feature selection technique which is widely used for data mining and

Glass Defect Detection Techniques using Digital Image Processing A Review .
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Glass defects are a major reason for poor quality and of embarrassment for manufacturers. It is a tedious process to manually inspect very large size glasses. The manual inspection process is slow, time-consuming and prone to human error. Automatic inspection systems

Literature review on object counting using image processing techniques
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Object counting is a challenging problem in image processing . It is routinely carried out in different areas of industries, research institutes, laboratories, agriculture industries among others. Object counting is important for quantitative analysis that depends on estimation of

Early breast cancer detection using mammogram images: a review of image processing techniques
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Breast cancer is one of the most common cancers worldwide among women so that one in eight women is affected by this disease during their lifetime. Mammography is the most effective imaging modality for early detection of breast cancer in early stages. Because of

A REVIEW ON DIAGNOSIS OF NUTRIENT DEFICIENCY SYMPTOMS IN PLANT LEAF IMAGE USING DIGITAL IMAGE PROCESSING .
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Plants, for their growth and survival, need 13 mineral nutrients. Toxicity or deficiency in any one or more of these nutrients affects the growth of plant and even cause the destruction of the plant. Hence, a constant monitoring system for tracking the nutrient status

Review on detection and classification of diabetic retinopathy lesions using image processing techniques
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Diabetic retinopathy is one of the most common causes of blindness. However, efficient therapies do exist. An accurate and early diagnosis and correct application of treatment can prevent blindness in more than 50% of all cases. Diabetic Retinopathy (DR) is the leading

Review of various image processing techniques for currency note authentication
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In cash transactions, the biggest challenge faced is counterfeit notes. This problem is only expanding due to the technology available and many fraud cases have been uncovered. Manual detection of counterfeit notes is time consuming and inefficient and hence the need

Prediction of lung cancer using image processing techniques: a review
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Prediction of lung cancer is most challenging problem due to structure of cancer cell, where most of the cells are overlapped each other. The image processing techniques are mostly used for prediction of lung cancer and also for early detection and treatment to prevent the

A review paper on sign language recognition system for deaf and dumb people using image processing
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Communications between deaf-mute and a normal person have always been a challenging task. This paper reviews a different methods adopted to reduce barrier of communication by developing an assistive device for deaf-mute persons. The advancement in embedded

Applications of image processing and real-time embedded systems in autonomous cars: a short review
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As many of the latest technologists have predicted, Self-driving autonomous cars are going to be the future in the transportation sector. Many of the billion dollar companies including Google, Uber, Apple, NVIDIA, and Tesla are pioneering in this field to invent fully

Review on leaf disease detection using image processing techniques
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This paper holds a survey on leaf disease detection using various image processing technique. Digital image processing is fast, reliable and accurate technique for detection of diseases also various algorithms can be used for identification and classification of leaf

Image processing techniques and neural networks for automated cancer analysis from breast thermographs-A review
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Abstract Clinical Infrared Thermography is the best suited technique for early detection of breast cancer. Interpretation of breast thermographs helps in identifying the abnormality in the region. In recent years, computer Aided analysis of breast thermographs has been

A comprehensive review of analysis of counting blood cells using different image processing algorithms
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Identification of blood disorders is through visual inspection of microscopic images of blood cells, from the identification of blood disorders, it can lead the classification of certain diseases related to blood. This paper describes a preliminary study of developing a

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

High performance computing for satellite image processing and analyzing A review
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High Performance Computing (HPC) is the recently developed technology in the field of computer science, which evolved due to meet increasing demands for processing speed and analysing/ processing huge size of data sets. HPC brings together several technologies

Techniques of medical image processing and analysis accelerated by high-performance computing: a systematic literature review
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Techniques of medical image processing and analysis play a crucial role in many clinical scenarios, including in diagnosis and treatment planning. However, immense quantities of data and high complexity of the algorithms often used are computationally demanding. As a

Image processing for fruit shape and texture feature extraction- review
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Image processing is effective tool for analysis in various fields and applications in agriculture. Todays very advanced and automated industries used more accurate method for different inspection processes of agriculture object. This task known as robotics task. In

Structural health monitoring using image processing techniques-a review
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Automated health monitoring and maintenance of civil infrastructure systems is an active yet challenging area of research. Identifying appropriate applications for technology to assess the health and safety of structures is an important issue around the world. For example

Review of image processing and machine learning techniques for eye disease detection and classification
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The ever increasing amounts of patients data in the form of medical images, imposes new challenges to clinical routine such as diagnosis, treatment and monitoring. Image mining is the process of searching and discovering valuable information knowledge of data. It is

A review paper on: agricultural plant leaf disease detection using image processing
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This paper provides survey on leaf disease detection technique by using image processing . India is an agricultural country and most of peoples wherein about 70% depends on agricultural. So leaf disease detection is very important research topic. Number of crops

Role of mathematical morphology in digital image processing : A review
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Image processing is a method to convert an image into digital form by performing operations on it for getting an enhanced image or to extract some useful information from it. It is a type of signal distribution in which input is image like video frame or photograph and output be The random walk, proposed in 190 was applied into the field of computer vision in 1979. Subsequently, more and more researchers paid their attention to this new method. Recently it has become prevailing as to be widely applied in image processing , eg image

Review of Color Blindness Removal Methods using Image Processing
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Color blindness is deficiency of color vision. Due to presence of color blindness, human eye becomes unable to differentiate colors with each other. Generally reason behind color blindness is genetic but sometimes it happens due to some damage and disorder in brain 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

Technique of Image Registration in Digital Image processing -a review
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Image registration is a process in which final information is gained from different data sources. It is a technique in which the different sets of data are transformed in to one coordinate system . Using registration we can compare and integrate the data obtained

On tree detection, counting post-harvest grading of fruits based on image processing and machine learning approach-a review
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This paper reports involvement of image processing and machine vision technique to detect and count of fruits on-tree, in field condition, have been reviewed. In addition, this paper also associated with the grading of fruits in post-harvesting. Different types of algorithms are

Quality analysis of indian basmati rice grains using digital image processing -a review
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Quality of rice is defined from its physical and chemical characteristics. Quality of grains is required for protecting the consumers from substandard products because the samples of food materials are subjected to adulteration. This paper provides a solution to the problem of

Review on Classification Algorithms in Image Processing
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Classification algorithms play a major role in image processing techniques. It is used to classify the features that are extracted from the image into various classes based on different characteristics. This paper proposes the survey on numerous classification techniques

Review on Identification and Classification of Grains Using Image Processing
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Quality of grains is an important requirement to protect consumers from sub-standard products. Sensory pleasure, healthy eating, value and convenience the consumer trends are driving the food industry today. Rice delivers on all of these. Rice is the primary dietary

Review of the Effective Image Processing Techniques of Mammograms
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X-ray image processing is a computerised system which enhances the amount of detail visible on a digitised x-ray image . The effect of this technique in the diagnosis of breast cancer, where the detection of early malignant tumours is essential for effective treatment, is

Review Paper on Image Processing Techniques
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Image processing is among rapidly growing technologies today, with its applications in various aspects of a business. Image Processing forms core research area within electronics engineering and computer science disciplines too. Image Processing is a technique to

A review on analysis and grading of rice using image processing
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This review paper presents the recent developments of image processing and machine vision system in an automated rice grading system. In agricultural field, the efficiency and accuracy in grading process is very essential to increase the productivity of the yield. Rice is

Application of Image Processing in Detection of Plant Diseases: A Review
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Plants productivity will be reduced due to the presence of diseases. Automatic detection of diseases on plant leaves is an important research topic which proves the benefits by identification of diseases through machine vision. This paper presents the study of various

A review on edge detection technique in image processing techniques
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Edge detection refers to the process of identifying and locating sharp discontinuities in an image . The discontinuities are abrupt changes in pixel intensity scene. Traditional method of edge detection involves convolving the image with an operator (2-D filter) which is

An impression of cancers and survey of techniques in image processing for detecting various cancers: A review
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A cancer is an abnormal growth of cells typically derived from a single abnormal cell. The cells have omitted normal run mechanisms and thus are capable to expand constantly, attack adjacent tissues, travel to distant parts of the body and support the growth of new Besides spectroscopic methods, imaging methods are more and more used in several fields of microanalysis in chemistry. This paper gives a broad review of the problems encountered when trying to extract information from such images and image series. A description of some

A Review of Automated MRI Image Processing Techniques Employing Segmentation Classification
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This paper is based on the survey of different techniques that can be used for detection of brain tumor by image processing of MRI Images. The MRI imaging technique is the best for detection brain tumors due to its high resolution and ability to show clear brain structures

A Review : Recognition of Automatic License Plate in Image Processing
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In this paper a detailed study on Automated License plate recognition is given. We are proposing a strategy for actualizing Automatic License Plate Recognition utilizing Speed up vigorous element coordinating SURF system for plate identification and Advanced Radial

Silkworm Egg Counting System Using Image Processing Algorithm-A Review
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India is 5 th largest producer of silk in the world so production of silkworm from silkworm egg rapidly increasing. Success of sericulture as a cash crop depends on the vitality and disease freeness of the silkworm seed applied to farmer. Production of silkworm seed is not only free

Image Processing in Concrete Applications: Review and Prospective
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Innovative methods for precise and timely condition assessment, performance prediction, and maintenance management are constantly being developed for the cost-effective rehabilitation of aging and deteriorating concrete structures. To this end, imaging techniques

Crack filling of art by using image processing : A review
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The conservation of Art especially the old paintings has been a matter of concern. Numerous methodologies using Digital Image Processing have been proposed regarding the fixation of the cracks. This has been done so as to provide clues to art historians, and the general

A ReVIew on ImAge PRoCessIng BAseD oPTImAl CATheTeR seleCTIon In CoRonARy AngIogRAPhy
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Image processing based optimal catheter selection is a newly developed approach for coronary artery angiography. In image processing based approach, an optimal catheter is selected (before intervention) on the basis of internal anatomy of the patients coronary

Malaria Parasites Concentration Determination Using Digital Image Processing : A Review
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Malaria is a severe infectious disease caused by female Anopheles mosquito. In 2016 alone 216 million cases of malaria occurred worldwide and 445000 died. So treatment should be initiated as soon as possible. Apart from species of infecting parasite, concentration of

A Review of Image Processing Software Techniques for Early Detection of Plant Drought Stress
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Water stress is one of the most important growth-limiting factors in crop production around the world, water in plants is required to permit vital processes such as nutrient uptake, photosynthesis, and respiration. Drought stress in plants causes major production losses in

A review of numerous facial recognition techniques in image processing
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Recognizing faces in images is an emerging trend of research in image processing streams. There were various systems proposed in this stream. Human emotions and intentions are communicated more often by changes in one or two discrete facial features. Given a single

Grade identification of astrocytoma using image processing a literature review
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Brain tumor grade identification is an invasive technique and clinicians rely on biopsy. Tumor grade (low/high) identification can be done on astrocytoma (brain tumor) using MRI, a non-invasive technique. Image segmentation, de-noising and feature extraction are the

A review on implementation of image processing algorithms using hardware software co-simulation
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Edge detection is necessary tool for extraction of information for further image processing operation. Many computer vision application use edge detectors as primary operators before high level image processing . Several algorithms are available for edge detection which

Review of correlation based algorithms in signal and image processing for pattern identification
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This paper presents a review of applications of Digital Correlation algorithms in pattern identification in signal and image processing . The paper not only describes the correlation function, and its different variants descriptively and mathematically and the algorithms in

Implementation of fruit Grading System by Image Processing and Data Classifier-A Review
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Sorting of fruits and vegetables is one of the most important process in fruits production, while this process is typically performed manually in most countries. In India, basically in Vidharbha Region, productions of oranges are on the large scale. So, for sorting and

Image processing for the study of bedload transport of two-size spherical particles in a supercritical flow
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Abstract Bedload sediment transport of two-size coarse spherical particle mixtures in a
turbulent supercritical flow was analyzed with image and particle tracking velocimetry
algorithms in a two-dimensional flume. The image processing procedure is entirely 

coded imagers: improving lens speed, depth-of-field, and manufacturing yield through enhanced spherical aberration and compensating image processing
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ABSTRACT Recently, joint analysis and optimization of both the optical sub-system and the
algorithmic capabilities of digital processing have created new digital-optical imaging
systems with system-level benefits. We explore a special class of digital-optical imaging 

Frequency pattern of turbulent flow and sediment entrainment over ripples using image processing
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Abstract. River channel change and bed scourings are source of major environmental
problem for fish and aquatic habitat. The bed form such as ripples and dunes is the result of
an interaction between turbulent flow structure and sediment particles at the bed. The 

Image processing and classification procedures for analysis of sub-decimeter imagery acquired with an unmanned aircraft over arid rangelands
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Unmanned aerial systems (UAS) have great potential as a platform for acquiring very high
resolution aerial imagery for vegetation mapping. However, image processing and
classification techniques require adaptation to images obtained with low-cost digital 

Solving ill-posed image processing problems using data assimilation
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Abstract Data Assimilation is a mathematical framework used in environmental sciences to
improve forecasts performed by meteorological, oceanographic or air quality simulation
models. It aims to solve an evolution equation, describing the temporal dynamics, and an 

Cardiac phase-correlated image reconstruction and advanced image processing in pulmonary CT imaging
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Abstract Image quality in pulmonary CT imaging is commonly degraded by cardiac motion
artifacts. Phase-correlated image reconstruction algorithms known from cardiac imaging can
reduce motion artifacts but increase image noise and conventionally require a 

FUZZY COLOUR DISTANCE APPLIED TO REGION GROWING IN IMAGE PROCESSING
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Abstract In this work, a new approach to region growing problem is presented. The region
growing procedure is modified in order to apply a fuzzy knowledge based system to
evaluate the distance between a pixel and the region. This fuzzy colour distance is based 

A GPU-accelerated framework for image processing and computer vision
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This paper presents briefly the state of the art of accelerating image processing with
graphics hardware (GPU) and discusses some of its caveats. Then it describes GpuCV, an
open source multi-platform library for GPU-accelerated image processing and Computer 

An Architecture with Integrated Image Processing for Autonomous Micro Aerial Vehicles
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ABSTRACT This paper presents an overall MAV design with an integrated camera system. It
shows the integration of the camera into the hardware and software architecture and how
camera information can be used within the logical design for improving flight control. The 

Cognitive processes in eye guidance: algorithms for attention in image processing

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Abstract When inspecting an image for the first time, how does the viewer decide where to
look next? The saliency map hypothesis proposes that viewers initially analyse the image for
variations in low-level visual features including intensity, colour, and edge orientation, and 

An integrated platform for dynamic cardiac simulation and image processing: application to personalised tetralogy of fallot simulation
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Abstract Processing and visualisation of dynamic data is still a common challenge in
medical imaging, especially as for many applications there is an increasing amount of
clinical data as well as generated data, such as in cardiac modelling. In this context, there 

Enhancement of Highly Degraded and Distorted Text Images using Image Processing
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ABSTRACT This paper presents the algorithm to extract the text from the degraded and
distorted images based on pattern recognition techniques used in image processing.
Degraded images are quite often observed in old manuscripts, where it is strongly needed 

Minimum Sobolev Norm schemes and applications in image processing
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ABSTRACT This paper describes an extension of the Minimum Sobolev Norm interpolation
scheme to an approximation scheme. A fast implementation of the MSN interpolation
method using the methods for Hierarchical Semiseparable (HSS) matrices is described 

Fire Recording or Image Sequence Processing and Statistical Analysis
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 use by forest fire managers. It is useful to analyze small fires under experimentally
controlled conditions to test the quality of this image processing system and check
assumptions made by fire spread models. A series of figures 

Dual channel addition based FFT processor architecture for signal and image processing
This paper presents a novel fixed-point 16-bit word-width 16-point FFT/IFFT processor
architecture designed primarily for the signal and image processing application. The 16-
point FFT is realised by using Cooley-Tukey decimation in time algorithm. This approach 

A Tool for Implementing and Evaluating Image Processing Algorithms inside FPGA Circuits
This paper aims to show the design and implementation of an integral environment for
developing algorithms for digital images processing and analysis on reconfigurable logic.
Our tool was divided in four modules. The first module designs a specific application