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Increasing the Discrimination Power of the Co-Occurrence Matrix-Based Features
Pattern Recognition, 2007This paper is concerned with an approach to exploiting information available from the co-occurrence matrices computed for different distance parameter values. A polynomial of degree n is fitted to each of 14 Haralick's coefficients computed from the average co-occurrence matrices evaluated for several distance parameter values.
Antanas Verikas +2 more
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A guide to co-occurrence matrix analysis [PDF]
This report considers the analysis of the co-occurrence matrix that has been widely used in many texture analysis problems. The co-occurrence matrix was first presented by Haralick and since then, many researches have used it in a variety of applications.
Reyes-Aldasoro, Constantino Carlos
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Co-occurrence Matrixes for the Quality Assessment of Coded Images
2007 IEEE International Symposium on Industrial Electronics, 2007Intrinsic nonlinearity complicates the modeling of perceived quality of digital images, especially when using feature-based objective methods. The research described in this paper indicates that models from Computational Intelligence can predict quality and cope with multi-dimensional data characterized by complex perceptual relationships.
REDI J +3 more
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Generalized co-occurrence matrix for multispectral texture analysis
Proceedings of 13th International Conference on Pattern Recognition, 1996We present a new co-occurrence matrix based approach for multispectral texture analysis. The spectral and spatial domains of the multispectral textures are processed separately. The color space used in this study is represented by subspaces and it is classified by the averaged learning subspace method (ALSM).
Markku Hauta-Kasari +3 more
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Crowd Detection Based on Co-occurrence Matrix
2013This paper describes a new approach for crowd detection based on the analysis of the gray level dependency matrix (GLDM), a technique already exploited for measuring image texture. New features for characterizing the GLDM have been proposed, and both Adaboost and Bayesian classifiers have been applied to the new feature introduced, and the system has ...
GHIDONI, STEFANO +2 more
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Scene Classification by Feature Co-occurrence Matrix
2015Classifying scenes (such as mountains, forests) is not an easy task owing to their variability, ambiguity, and the wide range of illumination and scale conditions that may apply. Bag of features (BoF) model have achieved impressive performances in many famous databases (such as the 15 scene dataset).
Haitao Lang +4 more
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Image Denoising Based on the Wavelet Co-Occurrence Matrix
Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006Image denoising is a well-known problem in signal processing. Wavelet decomposition based approaches have been applied successfully to the image denoising problem. The majority of wavelet thresholding methods do not take the spatial correlation between wavelet coefficients into account.
Zeyong Shan, Selin Aviyente
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Steganalysis Based on Co-occurrence Matrix of Differential Image
2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2008A universal steganalysis method is proposed in this paper. The forward difference is calculated in three directions, horizontal, vertical and diagonal, towards adjacent pixels to obtain three-directional differential images for a natural image. Then the differential images are thresholded with a pre-set threshold to remove the redundant information ...
Ziwen Sun, Maomao Hui, Chao Guan
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The co-occurrence matrix in square and hexagonal lattices
7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002., 2004There are many situations where processing of images on alternate lattices can yield positive advantages. One such case is processing of images upon hexagonal lattices where the uniform connectivity can lead to many efficiencies. However, before processing can be evaluated on hexagonal lattices it must be ascertained that fundamental operations can be ...
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Modified Color Co-occurrence Matrix for Image Retrieval
2005Color correlogram for content-based image retrieval (CBIR) characterizes not only the color distribution of pixels, but also the spatial correlation of pairs of colors. Color not only reflects the material of surface, but also varies considerably with the change of illumination, the orientation of the surface, and the viewing geometry of the camera ...
Min Hyuk Chang +4 more
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