histogram-based image classification
Bin ratio based histogram distances and their application to image classification
... robust image descriptors were also developed in [51, 53] for applications to visual recognition ...a histogram in a non-parametric way in a histogram similarity ...the histogram bin ...
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Textures and Intensity Histogram Based Retinal Image Classification System Using Hybrid Colour Structure Descriptor
... clustering based on features, for example the Pearson’s pair-wise correlation between each voxel’s time course within the ROI with that of other brain regions, and then a clustering algorithm is applied to divide ...
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Implementation of H.264/MPEG-4 AVC for Compound Image Compression Using Histogram based Block Classification Scheme
... Coding interval renormalization and bit output of CABAC is based on Witten’s algorithm. The coding interval of (Low, Low + Range) is renormalized when Range is smaller than the threshold value 256 (0x100), which ...
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Histogram features of osmf images for classification by aann
... In OSMF, there is a progressive inability to open the mouth and tongue movement gets restricted to varying degrees depending up on the severity of the disease process (Mitesh Amitkumar Modi et al., 2005). Fig. 4.2 shows ...
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Content based Image Retrieval using Histogram, Color and Edge
... an image is an important feature for object ...of image retrieval approach that associates both with shape detection and color value ...fuzzy based approach, Genetic algorithm based approach ...
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A Novel Approach for Content based Image Retrieval by using Histogram
... or classification codes, which in turn are used as retrieval keys during search and ...complicated image features very ...every image in the database, so for a large image database the ...
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Color Histogram and Multi-resolution LMEBP Joint Histogram for Multimedia Image Retrieval
... web image searching and other ...text based image retrieval was being used for this ...for image annotation and different interpretation of image by different persons, in early 1990 ...
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Vehicle color classification using manifold learning methods from urban surveillance videos
... the classification on various applica- ...color histogram. However, the dimensionality of this histogram-based descriptor is very high, and samples of the same color are distributed in a ...
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Image Classification in Content-Based Image Retrieval Systems Based on First Order Color Histogram Features
... In image processing, feature extraction is a special form of dimensionality ...template image has strong features, a feature-based approach may be considered; the approach may prove further useful if ...
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Image Segmentation based on Histogram Analysis and Soft Thresholding
... oriented image processing procedure is efficient and effective image ...digital image into multiple regions (sets of pixels), according to some homogeneity ...framework based on the ...
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Research on Segmentation Method of Target Image in Vision Measurement
... reflection image, and the above method is unable to accurately segment the ...method based on two-dimensional gray histogram contour projection segmentation ...is based on the grayscale ...
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Image Inpainting Based on Sparse Representation with Histogram Dictionary
... the image patch as a unit, and the basic idea of these algorithms is finding the best match patch to inpaint the missing ...natural image is composed of structural information suitable and texture ...the ...
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Performance of Histogram Modification by LOG Function for CBIR using Statistical Parameters of Bins Contents
... all histogram bins (256 in MATLAB) as it is; we are working on the formation of just 8 bins out of ...the image pixels uniformly into two partitions of each ...
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Multimodal Weighted Color Histogram based Content based Image Retrieval
... multimodal histogram threshold with peak finding histogram analysis approach (Cheng & Sun 2000) is used for segmenting the object from background in the query ...an image and accordingly color ...
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Image Enhancement Using Histogram Equalization Based On Genetic Algorithm
... Abstract:- Image enhancement is one of the challenging issues in low level image ...images. Histogram Equalization (HE) method is one such technique used for contrast ...enhanced image with a ...
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Navie Bayes Classifier For Wireless Capsule Endoscopy Video To Detect Bleeding Frames
... Bayes classification is a kind of trouble-free probabilistic classification methods based on Bayes’ theorem with the hypothesis of independence between ...Bayes classification. Bayes’ theorem ...
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A hyperspectral image classification algorithm based on atrous convolution
... Hyperspectral images not only have high spectral dimension, but the spatial size of datasets containing such kind of images is also small. Aiming at this problem, we design the NG-APC (non-gridding multi-level ...
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A SURVEY AND ANALYSIS OF VARIOUS IMAGE ENHANCEMENT TECHNIQUES
... novel histogram equalization technique in which the original image is decomposed into two equal area sub-images based on its gray level probability density ...one image. In fact, the algorithm ...
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PolSAR image classification based on Laplacian Eigenmaps and superpixels
... PolSAR image classification method by using the improved superpixel segmentation and manifold ...the classification method, clas- sifying superpixel blocks with majority voting principle is simple ...
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Texture Based Image Classification
... If the number of possible textures is too large, or if no assumptions can be made about the type of textures to be presented to the system, then unsupervised methods must be used. Whereas before each feature vector could ...
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