gray level
Fast stochastic restoration of gray level images
... The proposed technique is related to simulated annealing but generates candidates more efficiently for gray level images than either the Gibbs sampler or the Metropolis procedure.. Conve[r] ...
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Classification and Detection of retinal hemorrhages by Using Moment Invariants and Gray Level Based Features
... The gray level value of the pixels in a particular direction of detection was multiplied by a ...If gray value multiplied by a factor (say ...
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Finger Vein Recognition with Gray Level Co-Occurrence Matrix based on Discreet Wavelet Transform
... In this paper we used wavelet transformation based on Daubechies four for image compression. Here the first level of wavelet transformation is take and then from the result of wavelet we take the gray ...
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Emotion Recognition based on Gray Level Co Occurrence Matrix and Adaptive Genetic Fuzzy System
... Abstract - Facial expressions provide an important behavioral measure for studies of emotion and which plays a vital role in human interaction and communication. Facial expressions are helpful in understanding the ...
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A New Approach in a Gray-Level Image Contrast Enhancement by using Fuzzy Logic Technique
... In the figure 5, we present the results of gray level contrast enhancement for different images, for each one of them we selected three different values for α, which is 0.1, 0.6 and 1.2 respectively. The ...
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Gray-level Co-Occurrence Matrix application to Images Processing of crushed Olives fruits.
... the gray-level co-occurrence matrix ...with gray tone are neighbourhood, are defined to extract the information of the parameters: Contrast, Correlation, Energy and ...
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GRAY LEVEL CO- OCCURRENCE MATRIX FEATURES BASED CLASSIFICATION OF TUMOR IN MEDICAL IMAGES
... applied over the image to form the clusters. The shape, texture and statistical features are extracted from the region of interest with help of gray level co- occurrence matrix method. The features are ...
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Brain Tumor Classification Using Gray Level Co-occurrence Matrix and Convolutional Neural Network
... informasi. Gray Level Co-occurrence Matrix adalah salah satu cara yang sering digunakan untuk mendapatkan informasi dari objek ...ini Gray Level Co-occurrence Matrix digunakan untuk ...
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Extraction of Tongue Crack Based on Gray Level and Texture
... image gray-level and color information as well as the pixel distant gradient and extracted tongue cracks from line response image by hysteresis threshold algorithm ...
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Fast two-phase image segmentation based on diffusion equations and gray level sets
... the gray level sets, the image is divided into two ...on gray level sets to propose the associated discrete model and then obtain a new ...
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Voxel Size and Gray Level Normalization of CT Radiomic Features in Lung Cancer
... Gray level normalization. The ICC values for non-normalized and normalized features with varying num- ber of GLs (n = 108) are shown in Fig. 4. Without GL normalization, most features had ICC < 0.5 ...
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Feature Extraction of Image Using Gray-level and KNN based Genetic Algorithm
... A color is representing in a three dimensional vector equivalent in the direction of a position in a color space. This leaves us to choose the color breathing space and the quantization steps in this color space. Instead ...
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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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Optically Controllable Gray Level Diffraction from a BCT Photonic Crystal Based on Azo Dye Doped HPDLC
... isomers is affected by the intensity and wavelength of the pumping laser beams [10]. Furthermore, the reversible all-optical switch of diffractive light from a body-centered tetragonal photonic crystal (BCT PC) has been ...
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Robust and Efficient Segmentation of Blood Vessel in Retinal Images using Gray-Level Textures Features and Fuzzy SVM
... cross-sectional gray- level profile can be approximated by a Gaussian shaped curve (inner vessel pixels are darker than the outermost ones), some blood vessels include a light streak (known as a light ...
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EFFICIENT DEFECT DETECTION ALGORITHM FOR GRAY LEVEL DIGITAL IMAGES USING GABOR WAVELET FILTER AND GAUSSIAN FILTER
... In Eq. (1) x , y were Gaussian major and minor widths and W is the radial frequency. The complex Gabor wavelet function has real and imaginary parts. Later the real and imaginary parts are convoluted to form the ...
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Real World Speech Emotion Recognition From Speech Spectrogram Using Gray-Level Co-Occurence Matrix
... Real world speech emotion recognition from speech spectrogram using gray-level co-occurence matrix presents a novel algorithm for detecting the different emotions in speech by using speech spectrogram. The ...
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Gray Level Image Edge Detection Using a Hybrid Model of Cellular Learning Automata and Stochastic Cellular Automata
... Gray Level Image Edge Detection Using a Hybrid Model of Cellular Learning Automata and Stochastic Cellular Automata Nasim Vatani*, Rasul Enayatifar Department of Computer, Firoozkooh Bra[r] ...
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Mammograms Classification Using Gray-level Co-occurrence Matrix and Radial Basis Function Neural Network
... [19,20,21]. Gray-level co-occurrence matrix (GLCM) is the technique to evaluate textures by considering the spatial relationship of the ...of gray-level value i in specific spatial ...
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Mammogram Classification using Curvelet Coefficients and Gray Level Co Occurrence Matrix for Detection of Breast Cancer
... with gray level i and the other with gray level j ...of gray-level co-occurrence frequencies are a function of the angular relationship and distance d between the neighbouring ...
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