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image segmentation-based method

Modified Unsupervised Image Segmentation based on Gaussian Mixture Model for Traffic Surveillance Applications

Modified Unsupervised Image Segmentation based on Gaussian Mixture Model for Traffic Surveillance Applications

... approach based large scale moving objects strategy has been presented in this ...color image segmentation method based on its Gaussian mixture model with DNW prior is ...color ...

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Traffic Density Analysis based on Image Segmentation with Adaptive Threshold

Traffic Density Analysis based on Image Segmentation with Adaptive Threshold

... traffic image with very crowded traffic density, the traffic vehicles will appear most of image and a traffic image with sparse traffic density, the background will appear most of ...paper ...

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An Investigation of Segmentation Techniques in Image Processing for MRI Brain Tumor Images

An Investigation of Segmentation Techniques in Image Processing for MRI Brain Tumor Images

... gradient based method, the difference between two neighboring pixel values is ...little image noise then gradient based method works ...This method involves convolving gradient ...

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Comparative Study of Various Segmentation Techniques with their Effective Parameters

Comparative Study of Various Segmentation Techniques with their Effective Parameters

... Image segmentation techniques are basically categorized into two categories: discontinuity approach (edge- based) and similarity approach (region- based) based on the two basic ...

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USING AN ANT COLONY OPTIMIZATION ALGORITHM FOR IMAGE EDGE DETECTION AS A 
THRESHOLD SEGMENTATION FOR OCR SYSTEM

USING AN ANT COLONY OPTIMIZATION ALGORITHM FOR IMAGE EDGE DETECTION AS A THRESHOLD SEGMENTATION FOR OCR SYSTEM

... robust method for segmentation of three-dimensional echocardiography images based on two boundary maps namely distance map and probabilistic map as stopping criteria of contour evolution which are ...

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Color Image Segmentation Using Fuzzy Clustering and Fusion: Application to Biomedical Images

Color Image Segmentation Using Fuzzy Clustering and Fusion: Application to Biomedical Images

... color image segmentation ...a segmentation method based on fuzzy sets and Dempster-Shafer (DS) evidence ...each image pixel level, a mass function that corresponds to a ...

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Skin Cancer Detection Using Region Based Segmentation

Skin Cancer Detection Using Region Based Segmentation

... proposed method consists of the following steps for melanoma skin cancer detection: image pre processing, image segmentation, feature extraction, and TDS index ...

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I/O MATCH (I/O MAT) AND BEHAVIORAL MATCH (BEH MAT) BASED SEMANTIC WEB SERVICE 
DISCOVERY

I/O MATCH (I/O MAT) AND BEHAVIORAL MATCH (BEH MAT) BASED SEMANTIC WEB SERVICE DISCOVERY

... proposed method has been implemented and tested with Mat lab and we have used variety of data set to test the performance of the proposed ...for image segmentation and two comparing algorithms which ...

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A Survey on Outdoor Scene Image Segmentation

A Survey on Outdoor Scene Image Segmentation

... region based image segmentation algorithm is to group regions according to their anatomical or functional ...blob based superpixels is used for segmentation and it exploits a visual ...

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A Secure and Robust Reversible Watermarking Algorithm using Fuzzy Matching – Quad Tree Segmentation (F QTS) Technique for Digital Images

A Secure and Robust Reversible Watermarking Algorithm using Fuzzy Matching – Quad Tree Segmentation (F QTS) Technique for Digital Images

... proposed method as represented in fig.1, an RGB cover image is given as input to the quad-tree ...rule based quad-tree segmentation segments the cover image into various blocks and the ...

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AN EFFICIENT DETECTION OF STRUCTURAL SIMILARITY IN MAMMOGRAMS USING SUPPORT VECTOR MACHINE (SVM) CLASSIFIER

AN EFFICIENT DETECTION OF STRUCTURAL SIMILARITY IN MAMMOGRAMS USING SUPPORT VECTOR MACHINE (SVM) CLASSIFIER

... Proposed Method, combined Mean and Median filter is used to smooth image and region based segmentation is used to partition the image in order to get the information from the ...

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Improved Histogram based Thresholding Segmentation using PSO for Sign Language Recognition

Improved Histogram based Thresholding Segmentation using PSO for Sign Language Recognition

... It computes a global threshold (level) that can be used to convert an intensity image to a binary image. Level is a normalized intensity value that lies in the range [0, 1]. Otsu's method, which ...

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Stage Determination of Cancer in Mammogram Image using SOFT CLUSTERING and ANN

Stage Determination of Cancer in Mammogram Image using SOFT CLUSTERING and ANN

... a method to determine the stage of breast cancer malignancy based on area of mammogram image along with other ...proposed method includes the process of segmentation and ...

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Segmentation algorithm for Hangzhou white chrysanthemums based on least squares support vector machine

Segmentation algorithm for Hangzhou white chrysanthemums based on least squares support vector machine

... And image segmentation is the key technology of machine vision, which is the basis of target recognition and positioning [3] ...new method of picking point location based on improved ...

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Detection and Recognition of Objects in a Real Time

Detection and Recognition of Objects in a Real Time

... as image processing, computer vision and also pattern ...input image is converted into gray scale image. Next the image segmentation is done by using clustering method called ...

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A Brief Survey on Image Segmentation Techniques

A Brief Survey on Image Segmentation Techniques

... current image segmentation techniques are time consuming and require lot of computational cost in order to perform image ...threshold based segmentation method using Particle ...

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Automatic Road Extraction from High Resolution Imagery Based On Statistical Region Merging and Skeletonization

Automatic Road Extraction from High Resolution Imagery Based On Statistical Region Merging and Skeletonization

... Image segmentation is an essential and critical step in image ...processing. Image segmentation methods divide the image in to regions of coherent properties in an attempt to ...

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The Method of Flotation Froth Image Segmentation Based on Threshold Level Set

The Method of Flotation Froth Image Segmentation Based on Threshold Level Set

... value image, in order to realize the vector image segmentation, Caselles and Sapiro [16] proposed a new vector image GAC model, the gradient descent flow of variational level set method ...

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An improved parallel fuzzy connected image segmentation method based on CUDA

An improved parallel fuzzy connected image segmentation method based on CUDA

... spaces based on a notion of fuzzy connectedness of image elements and presented algo- rithms for extracting a specified fuzzy object and identifying all fuzzy objects present in the image ...organ ...

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Automatic Suggestion of Outfits using Image Processing

Automatic Suggestion of Outfits using Image Processing

... involves image segmentation, initial location method, clothing edge detection method research and Clothing Image Segmentation Algorithm Based on ...existing image ...

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