gray level image
CRYPTOGRAPHY OF A GRAY LEVEL IMAGE AND A COLOR IMAGE USING MODERN ADVANCED HILL CIPHER INCLUDING A PAIR OF INVOLUTORY MATRICES AS MULTIPLICANDS AND INVOLVING A SET OF FUNCTIONS
... of image data from unauthorized access is ...As gray level images and color images can be represented in terms of decimal numbers 0 to 255 converting a gray level image or a ...
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Gray Level Image Threshold Using Neutrosophic Shannon Entropy
... Neutrosophic representation of information was proposed by Smarandache [2], [7], [8] and [9] as an extension of fuzzy representation proposed by Zadeh [12] and intuitionistic fuzzy representation proposed by Atanassov ...
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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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Applying Onicescu information energy for gray level image segmentation
... a gray level image actually means the determination of some clusters and we start from the premise that within each cluster, the Onicescu information energy is maxi- ...with gray levels and at ...
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Gray Level Image Threshold Using Neutrosophic Certainty 1
... for gray levels, subsequently used to define a measure of the similarity of gray levels; Section 4 shows a presentation of the neutrosophic certainty used as an objective function to determine the ...
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A New Approach in a Gray-Level Image Contrast Enhancement by using Fuzzy Logic Technique
... for gray level image contrast enhancement. The image contrast problem is one of the main problems that confront the researchers in the field of digital image processing, such as in the ...
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Gray-Level Image Transitions Driven by Tsallis Entropic Index
... of image transitions can be further extended to the general multi- level ...The gray-level image transitions are analogous to order or texture transitions observed in physical ...
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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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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 gray ...
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Efficient generators in simulated annealing
... Let F be the original gray level image and G be the observed image degraded by additive independent identically distributed Gaussian noise of zero mean and standard deviation a.. Model b[r] ...
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Image analysis using new set of separable two-dimensional discrete orthogonal moments based on Racah polynomials
... of gray-level image reconstruction accuracy, including noisy and noise-free ...for image classification in comparison with the traditional moment ...
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Model to estimate the salt and pepper noise density level on gray-scale digital image
... in image analysis and interpretation with the primary focus being on the amount of information that is available for such an ...any image processing is that we carry some preprocessing procedures on the ...
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Cholesterol level measurement through Iris image using Gray Level Co occurrence Matrix and Linear Regression
... This paper proposes measuring cholesterol levels through the iris using the Gray Level Co-Occurence Matrix (GLCM) and Linear Regression methods. The reason for using these two methods is (i) the GLCM method ...
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Vol 8, No 1 (2013)
... single image is available; it becomes a tough problem to say whether it is manipulated or not as steganography attempts to make the Stego indistinguishable from the ...
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X ray Computed Tomography for Micro Porosity in AZ91D Alloy
... the gray level of reconstructed image is directly related with the density, the defining of peak in the variation of gray level is very important for analyzing the porosity or compounds ...
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MULTI LEVEL AES DESIGN SECURITY: FROM SYSTEMC TLM TO FPGA
... low level X-Rays or medium level ...with gray co-efficient values based on which segmentation is ...input image using Gabor ...the image quality, and then we compute the gray ...
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Fast two-phase image segmentation based on diffusion equations and gray level sets
... on level-set framework have some draw- ...Chan-Vese image segmentation model to avoid these drawbacks ...for image segmentation without solving the Euler- Lagrange equation of the underlying ...
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Kernel Sparse Coding & Texture Feature based Segmentation for Cerebral Edema
... the gray image which was generated by the MRI and then it will textures the image which means that spotting for the diseases on the cerebral and then the KSR method will map that particular texture ...
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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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ARABIC TEXT CLUSTERING BASED ON K MEANS ALGORITHM WITH SEMANTIC WORD EMBEDDING
... global image contrast and introduces minimal ...grapy level thresholding, Global histogram equalization and Connected components analysis are combined to produce the Multilevel Component-Based Histogram ...
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