image processing research paper-watershed algorithm




Modified Watershed Algorithm for segmentation of 2D images
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Abstract With the repaid advancement of computer technology, the use of computer-based technologies is increasing in different fields of life. Image segmentation is an important problem in different fields of image processing and computer vision. Image segmentation

RaFSi-A Fast Watershed Algorithm Based on Rainfalling Simulation.
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ABSTRACT In this paper, we present a fast watershed algorithm based on the rainfalling simulation. We present the various techniques and data structures utilized in our approach. Throughout this work, the processing of large data sets (images as well as volume data) is

Recognition of partially occluded plant leaves using a modified watershed algorithm
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ABSTRACT. Occlusion is an obstacle to two- dimensional machine vision recognition of plants in natural outdoor scenes. Five modifications to the Watershed algorithm were investigated for separating occluded plant leaves, in an attempt to reduce the excessive

A watershed algorithm for triangulated terrains.
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Abstract We study the problem of automatically identifying watershed boundaries from digital elevation data. Nelson et al. have a vector-based algorithm to solve this problem, but their approach cannot guarantee that each watershed is a single polygon because of the

Modified Algorithm marker-controlled watershed transform for Image segmentation Based on Curvelet Threshold
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Abstract: With the repaid advancements of computing technology, any use of the computer- based technologies Increase in different scientific fields. The segmentation's image is an important problem in different fields of computer vision and image processing. The

A multiresolution remotely sensed image segmentation method combining rainfallingwatershed algorithm and fast region merging
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ABSTRACT: Nowadays object oriented image analysis becomes a hot issue in the field of image processing and interpretation because of its more robust noise removing ability, more abundant image features and expertise knowledge involved in analysis. The first and most

A proposal for a parallel watershed transform algorithm for real-time segmentation
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Abstract The watershed transform is widely used for image segmentation on computer vision applications. However, sequential watershed algorithms are not suitable for real-time applications, once they are one demanding part of several tasks. This paper proposes a

Prong features detection of a 3d model based on the watershed algorithm
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In this paper, a simple and robust prong features detection algorithm is proposed. A prong feature is an assisting feature that can be used in many applications. For instance, it can be used to identify a model that consists of several prong parts for model decomposition. It

A fuzzy-watershed based algorithm for protein spot detection in 2DGE images
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Summary An important issue in the analysis of two-dimensional electrophoresis images is the detection and quantification of protein spots. The main challenges in the segmentation of 2DGE images are to separate overlapping protein spots correctly and to find the

Improving watershed algorithm with a histogram driven methodology and implementation of the system on a virtex 5 platform
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ABSTRACT Watershed algorithm as was introduced by Vincent and Soille is a segmentation algorithm based on the inundation process of the image gradient which is observed as a relief. It aims at finding the peaks in the image gradient called watersheds and identifying

A Supervised Watershed Algorithm for Image Segmentation
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Abstract: A Supervised Watershed Algorithm segments the image into as many regions as the number of markers, interactively placed by the user in the Region of Interest (ROI). Image Smoothing acts as the preprocessing step for segmentation. A non-linear Partial

An image binarization algorithm using watershed-based local thresholding
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Abstract:-The purpose of this paper is to describe a localized Otsu based binarization algorithm that improves results on non uniform background images. The algorithm divides the image into irregular areas with similar characteristics, which are processed

A Method for Binary Image Thinning using Gradient and Watershed Algorithm
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Abstract-Thinning is basically reducing a 'thick'digital object to 'thin'skeleton. Thinning is one of the most frequently used methods to know the geometrical feature of objects. For example, the tree structure of the bronchus is determined by using the thinned result of it.

Brain Tumor Detection and Segmentation by using Thresholding and Watershed Algorithm
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Abstract:This Paper Present the detection and segmentation of brain tumor using watershed and thresholding algorithm. Brain tumor segmentation in magnetic resonance imaging (MRI) has become an emergent research area in the field of medical imaging

An improved diffusion driven watershed algorithm for image segmentation of cells
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The image segmentation is one of the most crucial steps in automated analysis of medical and biological images. The segmentation process allows for a detection of object contours. Due to specificity of imaging technique, a correct detection of cell contours is problematic

Image Segmentation Algorithm Using Watershed Transform and Fuzzy C-Means Clustering on Level Set Method
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Abstract:A new method for image segmentation is proposed in this paper, which combines the watershed transform, FCM and level set method. The watershed transform is first used to presegment the image so as to get the initial partition of it. Some useful information of the

A parallel watershed-transformation algorithm for the GPU
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Abstract We propose an approach to parallel image segmentation of volume images using the watershed transformation on graphic processing units (GPU). The watershed transformation is a widely used powerful mathematical morphology method for gray-scale

Review on Detection and segmentation of brain tumor using watershed and thresholdingalgorithm
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Abstract:The main objective is to detect and segment the brain tumor using watershed and thresholding algorithm. Brain tumor segmentation in magnetic resonance imaging (MRI) has become an emergent research area in the field of medical imaging system. Brain tumor

Brain Cancer Segmentation In MRI Medical Image Using Combined Watershed AlgorithmAnd Thresholding With Multilayer Perceptron (CWTMP) Neural
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ABSTRACT Digital image processing is the use of computer algorithms to perform image processing on digital images. Image segmentation refers to partitioning an image into various sub regions and also identifying a tumor part in a brain MRI image. This paper

Watershed segmentation algorithm for medical confocal image analyses towards in vivo early cancer detection
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Abstract This REU project successfully demonstrated an automated image segmentation technique to overcome artifacts from in vivo images and provide real time, accurate analysis of nuclear size, density, and nuclear-cytoplasmic ratio, critical visual markers of epithelial

Face Detection Algorithm based on Skin Detection, Watershed Method and Gabor Filters
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ABSTRACT Automatic face detection has been intensively studied for human-related recognition systems. To build fully automated systems that analyze the information contained in face images, robust and efficient face detection algorithms are required. In

Multiobjective operation optimization of reservoirs using genetic algorithm (Case Study: Ostoor and Pirtaghi Reservoirs in Ghezel Ozan Watershed)
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Abstract. In this study, a Genetic Algorithm model for optimal operation of a multi-reservoir and multiobjective water resource system in Ghezel Ozan watershed for hydropower generation and flood control is developed. The system is made of two reservoirs in series

sensing and GIS for mapping and monitoring land cover and land use changes using support vector machine algorithm (Case study: Ilam dam watershed)
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ABSTRACT: Presently, unplanned changes of land use have become a major problem. Most land use changes occur without a clear and logical planning with little attention to their environmental impact. Since those changes in land use take place in large and extensive

Measuring clot volumes using a watershed segmentation algorithm.
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Results: The mean time to process a scan was 170 seconds, with the worst case taking 450 seconds. The results broken down by observer are summarised in table 1. Intra-observer variability was assessed by calculating the coefficient of variation (COV) of the 3 repeats

An Image Segmentation Using Improved FCM Watershed Algorithm and DBMF
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Abstract:Image segmentation and evaluation are awfully not easy but significant tribulations in computer vision. In this article we have presented an improved FCM Watershed Algorithm for image segmentation. In this techniques, Decision based median

Implementation of an Improved Watershed Algorithm in a Virtex 5 Platform
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ABSTRACT Watershed transform, as was described by Vincent and Soille, is a segmentation algorithm based on a flooding process of the gradient image, which is observed as a topographic surface. Watershed transform aims at finding the peaks in this

Analysis of the Variants of Watershed Algorithm as a Segmentation Technique in Image Processing
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Abstract The watershed transform is a popular image segmentation algorithm for grey scale images. It is the method of choice for image segmentation in the field of mathematical morphology. Watershed segmentation is based on sets of neighboring pixels. We present

Edge Detection with Watershed Algorithm for Digital Image Using Fuzzy Logic
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Abstract:Image segmentation and edge detection refers to the process of identifying and locating sharp discontinuities in an image. In this paper a method that integrates fuzzy logic and watershed segmentation algorithm using distance transform for digital image

High spatial resolution remote sensing image segmentation using marker based watershed algorithm
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Abstract We propose an edge embedded marker based watershed algorithm for high spatial resolution remote sensing image segmentation. Two improvement techniques are proposed for the two key steps of maker extraction and pixel labeling, to make it more effective and

using the Watershed Algorithm based on Morphological Filtering
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ABSTRACT Liver segmentation is one of the most basic and important parts in computer aided diagnosis for liver CT. Although various segmentation methods have been proposed for medical imaging, most of them generally do not perform well in segmenting the liver

IMPROVEMENT OF SEGMENTATION ON MRI IMAGES USING FUZZY CLUSTERING C-MEANS AND WATERSHED MARKER CONTROL ALGORITHM
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ABSTRACT Image processing has been one of the most important achievements and commonly used engineering techniques in all areas of science, including medical science, and MRI as one of the most widely used non-invasive diagnostic techniques has been

Gushing and Immersion Alternative Watershed Algorithm
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ABSTRACT In this paper, a fast and flexible watershed algorithm in digital grayscale images is introduced, which imitating the gushing and immersion process. The algorithm is accuracy and less consuming in time and memory space. It can easily get the information of the

Evaluation of Deforestation using Watershed Algorithm
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Abstract:Deforestation is a serious issue that most nations face today. Deforestation is primarily due to urbanization. Most nations that are presently under the scanner for deforestation had immense forest stretch. The need for settlements and development has

A Version of Watershed Algorithm for Color Image Segmentation
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Abstract-Finding of semantic regions is the main objective of segmentation for image understanding. Automatic image segmentation is one of the major difficulties in the field of image processing. The watershed algorithm has some problems, like over segmentation,

Reduced memory watershed segmentation algorithm
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Abstract:In this paper we give an overview of our novel reduced memory watershed segmentation algorithm. Watershed segmentation is one of the well-known low-level image segmentation algorithms. Most of the existing algorithms use the region label image as the

Adhesive image segmentation based on watershed algorithm
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Abstract Since adhesive image has a deficiency of over-segmentation, the work applied watershed algorithm, whose merits include quick computing speed, closed outline and accurate location, to adhesive image segmentation. In the first few sessions, the basic

AUTOMATIC SEGMENTATION IN BREAST CANCER USING WATERSHED ALGORITHM
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ABSTRACT Accurate and reproducible delineation of breast lesions can be challenging, as the lesions may have complicated topological structures and heterogeneous intensity distributions. Diagnosis using magnetic resonance imaging (MRI) with an appropriate

Image Segmentation of Multi-focused Images using Watershed Algorithm
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Abstract Segmentation algorithm plays a vital role in region based image fusion process. Features should be segmented as single regions. Feature may split into more than one region and each region has to be treated separately. If possible, less number of regions

BIO-MEDICAL IMAGE SEGMENTATION USING MARKER CONTROLLED WATERSHED ALGORITHM: A CASE STUDY
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Abstract Image segmentation is a process in which the objects of interests are selected and separated from the total image to analyze and extract the required data. It is one of the

An improved watershed algorithm for image segmentation
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Abstract Watershed transform is a key operator in image segmentation algorithms. However, the computation load of watershed transform is too large for real-time applications. Previously published watershed segmentation algorithms required at least three global

WATERSHED ALGORITHM BASED SEGMENTATION FOR HANDWRITTEN TEXT IDENTIFICATION.
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Abstract In this paper we develop a system for writer identification which involves four processing steps like preprocessing, segmentation, feature extraction and writer identification using neural network. In the preprocessing phase the handwritten text is

SEGMENTATION OF DRY FOREST REGION USING WATERSHED ALGORITHM
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Abstract:Forest fire is a serious issue that most nations face today. Fire is one of the major causes of surface change and happens in the mass of vegetation zones across the world. Forest fires are key ecological threats that lead to deterioration of economy and

Automatically Gradient Threshold Estimation of Anisotropic Diffusion for Meyer's Watershed Algorithm Based Optimal Segmentation meta name=
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Abstract Medical image segmentation is a fundamental task in the medical imaging field. Optimal segmentation is required for the accurate judgment or appropriate clinical diagnosis. In this paper, we proposed automatically gradient threshold estimator of

A Remote Sensing Industrial Solid Waste Image Segmentation Method Based on ImprovedWatershed Algorithm
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Abstract Taking the high-resolution remote sensing image of industrial waste dump as the research object, this paper proposes a new image segmentation method based on markercontrolled watershed transform and region merging. The method gets the finial

A Macrophages Image Segmentation Algorithm Based on Adaptive Region Merging andWatershed
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Abstract This paper investigates the segmentation of the strong adhesion and aberrant macrophage images. We present a region based segmentation method involving the watershed algorithm and the adaptive region merging technique. Firstly, we perform the

Automatic Segmentation of Pulmonary Lobe Using Marker Based Watershed Algorithm
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Abstract:Segmentation is an important process in the field of medical imaging, as it can provide detailed information of an image. In this work, segmentation of pulmonary lobe is carried out which is useful for the clinical interpretation of CT images, to access the early

Image Segmentation of Digital Mammograms Using the Watershed Algorithm for Breast Cancer Detection
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Abstract In this paper, we applied a modied watershed algorithm in the image segmentation of digital mammograms from a public source (the MIAS database) using SCILAB, an open-source version of MATLAB. Some results are presented. Keywords:

Hybrid FCM with Watershed Algorithm for Image Segmentation
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Abstract–Image segmentation is rapidly applied in the field of image processing. In this paper a new method is suggested for implementing image segmentation. To overcome the problems of conventional threshold segmentation technique, an adaptive local threshold

Segmentation of the Left Atrium using the Marker-Controlled Watershed algorithm
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Abstract According to the statistics heart disease is the cause of more than 600,000 deaths per year in the USA. While 715,000 Americans annually have a heart stroke, it has been also the main cause of death in lots of other developing countries as well [1]. Among them,

Improved Fuzzy C-Means Clustering Algorithm Using Watershed Transform on Level Set Method for Image Segmentation
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Abstract:An innovative novel method for image segmentation is proposed in this paper, which combines the watershed transform, Improved FCM and level set method. The watershed transform is original used to pre-segment the image so as to get the initial

Watershed Based Segmentation Algorithm
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Abstract. The watershed transform is a very powerful segmentation tool which guarantees closed contours. In this paper the watershed transform is used for the segmentation of a very simple image consisting of a circle, a rectangle and a background region. The ability of

Assessment of Marker-Controlled Watershed segmentation algorithm for individual tree top detection and crown delineation
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Abstract Light Detection And Ranging (LiDAR) technology has reached to the point where forest canopy height models can be produced at high spatial resolution. Individual tree crown isolation and classification methods are developing rapidly for multispectral

New algorithm for selecting environment watershed MAP with fuzzy operations
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Abstract In the real word, the decision making problems are very vague and uncertain in a number of ways. This paper describes the design of a fuzzy decision support system in distance analysis approach for selecting the best map alternatives or strategies in

structures, and hydraulic conductivity values using fuzzy c-means clustering and harmony search optimisation algorithm: a case study of the Tahtali watershed
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Abstract The aim of this study is to present a linked simulation–optimisation model to estimate the groundwater recharge rates, their associated zone structures, and hydraulic conductivity values for regional, steady-state groundwater flow models. For the zone

Image processing research papers



Adapting Complex Image Processing Algorithms to Mobile Devices
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ABSTRACT Mobile devices have come a long way since the earlier times. Cell phones were once only used for making and receiving telephone calls but now are transforming into small personal computers capable of running standalone programs or applications. Consumers

Betel Leaf Area Measurement Using Image Processing
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ABSTRACT The deep green heart shaped leaves of betel vine are popularly known as a Paan in India. It is used in a number of traditional remedies. Now a day s customer s lifestyles and needs have gone through tremendous changes. These changes are new challenges for

Image Processing based Systems and Techniques for the Recognition of Ancient and Modern Coins
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ABSTRACT Coins are frequently used in everyday life at various places like in banks, grocery stores, supermarkets, automated weighing machines, vending machines etc. So, there is a basic need to automate the counting and sorting of coins. For this machines

Modeling very oscillating signals. Application to image processing
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This article is a companion paper of a previous work where we have developed the numerical analysis of a variational model first introduced by Rudin et al. and revisited by Meyer for removing the noise and capturing textures in an image. The basic idea in this

Tracking the free surface of time-dependent flows: image processing for the dam-break problem
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ABSTRACT The dam-break problem (ie, the sudden release of a given volume of fluid down a slope) has attracted a great deal of attention from mechanicians and physicists over the past few years, with particular interest devoted to the free-surface profile and the spreading rate

Remote sensed image processing on grids for training in earth observation
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Remote sensing involves techniques that use sensors to detect and record signals emanating from target of interest not in direct contact with the sensors. Remote sensing systems integrate cameras, scanners, radiometers, radar and other devices, and deal with

3-D contour generation and determination of surface roughness of shaped and horizontally milled plates using digital image processing,
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ABSTRACT Surface roughness is usually a detrimental by-product of all machining processes. This research work applied digital image processing capabilities of MATLAB to measure and generate 3-D contour plots of surface roughness, from digital pictures of two

Eye Detection Using Morphological and Color Image Processing
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ABSTRACT Eye detection is required in many applications like eye-gaze tracking, iris detection, video conferencing, auto-stereoscopic displays, face detection and face recognition. This paper proposes a novel technique for eye detection using color and morphological image

On morphological hierarchical representations for image processing and spatial data clustering
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ABSTRACT Hierarchical data representations in the context of classification and data clustering were put forward during the fifties. Recently, hierarchical image representations have gained renewed interest for segmentation purposes. In this paper, we briefly survey fundamental

Tuning Stereo Image Matching with Stereo Video Sequence Processing
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 speers, jenkin) cse.yorku.caAbstract Algorithms for stereo video image processing typicaly as- sume that the various tasks; calibration, static stereo match- ing, and egomotion are independent black boxes. In partic- ular, the

The application of 3D image processing to studies of the musculoskeletal system
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ABSTRACT Three dimensional renditions of anatomical structures are commonly used to improve visualization, surgical planning, and patient education. However, such 3D images also contain information which is not readily apparent, and which can be mined to

Improving Measurement Repeatability of Ball Crater Method by Using Image ProcessingTechniques
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ABSTRACT A method of improving coating thickness measurement repeatability of the ball crater method is proposed. The improvement is realized by using image processing techniques to measure the radii of crater circles from a microscope image. While

Challenges of medical image processing
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ABSTRACT In todays health care, imaging plays an important role throughout the entire clinical process from diagnostics and treatment planning to surgical procedures and follow up studies. Since most imaging modalities have gone directly digital, with continually

Radargrammetric SAR image processing
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Throughout history, humans have tried to represent what they see through images. Mapmakers have always sought ways in which to represent both the location and the three dimensional shape of land. At the beginning, the way to obtain a 3D representation of land

A new Color Balancing Method for Cameras, Compared with Existing Fast Color
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The problem of separating the illumination from the reflectance information in a given image has been extensively researched in the last three decades, following Edwin Land s seminal work on color vision and his development of the Retinex theory [4]. The problem can be

Technical Note: How image processing facilitates the rising bubble technique for discharge measurement
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ABSTRACT. In this article, we rehabilitate the integrating rising bubble technique as an effective has not been applied widely, mainly as a result of practical difficulties. We hypothesize

Image Processing and CGP
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In this chapter, we will present three applications in which CGP can automatically generate novel image processing algorithms that compare to or exceed the best known conventional solutions. The applications fall into the areas of image preprocessing and classification.

Efficient Mapping of Streaming Applications for Image Processing on Graphics Cards
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ABSTRACT. In the last decade, there has been a dramatic growth in research and development of massively parallel commodity graphics hardware both in academia and industry. Graphics card architectures provide an optimal platform for parallel execution of many number

4D Medical Image Processing with CUDA
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The local structure tensor in 4D t1= mfr1* mfr1+ mfr5* mfr5+ mfr6* mfr6+ mfr7* mfr7+ mfr8* mfr8 t2= mfr1* mfr2+ mfr5* mfr6+ mfr6* mfr9+ mfr7* mfr10+ mfr8* mfr11 t3= mfr1* mfr3+ mfr5* mfr7+ mfr6* mfr10+ mfr7* mfr12+ mfr8* mfr13 t4= mfr4* mfr1+ mfr5* mfr8+ mfr6* mfr11+

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