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Non-invasive Blood Glucose Level Measurement from LASER Reflected Spectral Patterns Images

Non-invasive Blood Glucose Level Measurement from LASER Reflected Spectral Patterns Images

... of pixels is the gray- level co-occurrence matrix (GLCM), also known as the gray-level spatial dependence ...an image by calculating how often pairs of pixel with specific values ...

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Feature Extraction of Image Using Gray-level and KNN based Genetic Algorithm

Feature Extraction of Image Using Gray-level and KNN based Genetic Algorithm

... of Image information systems is greatly increases with the advancements in broadband networks, high-powered workstations ...after image record. During current time, image categorization have expand ...

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Modified PSO: A Bio inspired Algorithm for Color and Gray Level Enhancement

Modified PSO: A Bio inspired Algorithm for Color and Gray Level Enhancement

... with pixels of image for image enhancement then it is termed as spatial domain ...certain image is computed and then inverse fourier transform to get suited ...at gray scales. In ...

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Review on Brain Tumor Detection and Segmentation Techniques

Review on Brain Tumor Detection and Segmentation Techniques

... a gray level image in a topographic surface which can be built up by flooding process on a gray tone ...in image leading to over segmentation at each local minima of embedded ...by ...

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Adulteration Identification of Papaya Seeds in Black Pepper Using Digital Image Processing

Adulteration Identification of Papaya Seeds in Black Pepper Using Digital Image Processing

... different gray levels in an image. Each elements of GLCM of an image are shown as p(i, j, d, ...the gray level of the pixel p at location (x, y), and j is the gray level ...

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Medical image encryption based on multiple chaos mapping

Medical image encryption based on multiple chaos mapping

... the image histogram is one way to attack the image ...An image-histogram illustrates how pixels in an image are distributed by graphing the number of pixels at each intensity ...

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Automatic detection of multiple oriented blood vessels in retinal images

Automatic detection of multiple oriented blood vessels in retinal images

... vessel pixels are detected in the vessel enhanced image using en- tropic thresholding based on gray level co-occurrence matrix as it takes into account the spatial distribution of gray ...

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Remote Sensing Image Segmentation using OTSU Algorithm

Remote Sensing Image Segmentation using OTSU Algorithm

... and image processing, Otsu's method, named after Nobuyuki Otsu is used to automatically perform clustering-based image thresholding or, the reduction of a gray level image to a binary ...

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8. Noise Removal in Thermal Image for Skin Disease Detection

8. Noise Removal in Thermal Image for Skin Disease Detection

... median gray level inside the window is received replacing the noise ...median gray level is performed by the sort calculation with a low calculation many-sided ...noisy pixels, yet not ...

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Intensity Enhancement in Gray Level Images using HSV Color Coding Technique

Intensity Enhancement in Gray Level Images using HSV Color Coding Technique

... them. Image processing modifies pictures to improve them (enhancement, restoration), extract the information (analysis, recognition), and change their structure (composition, image ...but image ...

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Gray-Level Image Transitions Driven by Tsallis Entropic Index

Gray-Level Image Transitions Driven by Tsallis Entropic Index

... those image segmentations which are based on the maximum entropy principle ...the pixels in those pertaining to objects and in those pertaining to the background, helping then in extracting some of the ...

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FEATURE EXTRACTION TECHNIQUES FOR IMAGE RETRIEVAL USING HAAR AND GLCM

FEATURE EXTRACTION TECHNIQUES FOR IMAGE RETRIEVAL USING HAAR AND GLCM

... the image decomposition and feature extraction using Haar discrete wavelet transform, Section 3 covers relative position of the neighboring pixels in an image and feature extraction using Gray ...

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The Application of Improved Histogram Equalization and Image Segmentation in Satellite Image

The Application of Improved Histogram Equalization and Image Segmentation in Satellite Image

... of image recognition based on improved histogram equalization and image segmentation was ...of gray level of pixels, and then excludes singular points to figure out cumulative ...

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Performance Analysis of Medical Image Using Gray Level Co Occurrence

Performance Analysis of Medical Image Using Gray Level Co Occurrence

... the image pixels. The image component values unit of measurement manipulated to understand desired ...the pixels among the ...the gray level values of individual pixels ...

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Palm Print Recognition Using Geometrical and Texture Features

Palm Print Recognition Using Geometrical and Texture Features

... is image processing module. In this module we prepare the image for feature ...colour image transform into gray level image then we reduce the noise pixels from the ...

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Image compression using BTC and AMBTC

Image compression using BTC and AMBTC

... the image into small sub blocks of size 4 x 4 pixels and then reducing the number of gray levels within each ...local image statistics. The basic form of BTC divides the whole image ...

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An information-driven framework for image mining

An information-driven framework for image mining

... Object level is to identify domain-specific features such as objects and homogeneous regions in the ...target image containing one or more interesting objects and a set of labels corresponding to a set of ...

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A SVD Feature based Watermarking Algorithm for Gray-level Image Watermark

A SVD Feature based Watermarking Algorithm for Gray-level Image Watermark

... novel gray-level image watermarking algorithm based on Singular Value Decomposition (SVD) feature and neural network is presented for copyright ...the gray-level secret information into ...

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Gray Level Image Threshold Using Neutrosophic Certainty 1

Gray Level Image Threshold Using Neutrosophic Certainty 1

... with gray levels is a procedure of determining several subsets for the gray levels existing in that image and then, approx- imating the gray levels with the average of the intervals of which ...

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Gray Level Image Threshold Using Neutrosophic Shannon Entropy

Gray Level Image Threshold Using Neutrosophic Shannon Entropy

... This article presents a new method of segmenting grayscale images by minimizing Shannon’s neutrosophic entropy. For the proposed segmenta- tion method, the neutrosophic information components, i.e., the degree of truth, ...

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