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Image Retrieval Based on Block Motif Co-Occurrence Matrix
2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 2019Motif co-occurrence matrix (MCM) is one of the commonly used image features descriptions. However, MCM has two shortcomings. One is that it doesn’t meets translation invariance, and another is that different sub-blocks can be represented by the same motif.
Yuan-Ting Yan +3 more
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Image retrieval using improved texton co-occurrence matrix
International Journal of Computational Vision and Robotics, 2011This paper proposed a new technique for content-based image retrieval (CBIR) using a combination of a` trous wavelet transform (AWT) and Julesz|s texton elements. AWT is used to decomposse the image into different scales and different texton elements are used to detect the spatial co-relation among the transform coefficients in horizontal, vertical ...
Anil Balaji Gonde +2 more
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Edge detection in noisy images based on the co-occurrence matrix
Pattern Recognition, 1994Abstract An edge detection method for noisy images is proposed based on the co-occurrence matrix. In the proposed technique based on the step-edge model, the gray level information is simply converted into a bit-map, i.e. the uniform and boundary regions of an image are transformed into a binary pattern by normalization using the local mean.
Deok J. Park +2 more
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A Novel Fuzzy Co-occurrence Matrix for Texture Feature Extraction
2013Texture analysis is one of the important steps in many computer vision applications. One of the important parts in texture analysis is texture classification. This classification is not an easy problem since texture can be non-uniform due to many reasons, e.g., rotation, scale, and etc.
Yutthana Munklang +2 more
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The semivariogram in comparison to the co-occurrence matrix for classification of image texture
IEEE Transactions on Geoscience and Remote Sensing, 1998Semivariogram functions are compared to co-occurrence matrices for classification of digital image texture, and accuracy is assessed using test sites. Images acquired over the following six different spectral bands are used: 1) SPOT HRV, near infrared; 2) Landsat thematic mapper (TM), visible red; 3) India Remote Sensing (IRS) LISS-II, visible green; 4)
James R. Carr +1 more
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DBC Co-occurrence Matrix for Texture Image Indexing and Retrieval
2014In this paper, a new image indexing and retrieval algorithm using directional binary code (DBC) co-occurrence matrix is proposed. The exits DBC collect the directional edges, which are calculated by applying the first-order derivatives in 0o, 45o, 90o, and 135o directions.
K. Prasanthi Jasmine, P. Rajesh Kumar
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A Co-occurrence Matrix algorithm used for medical image
Proceedings of 2011 International Conference on Computer Science and Network Technology, 2011Techniques of Medical Image Retrieval and Classification are used popularly in Computer-Aided Diagnosis. How to extract image features which reflect the content of an image is very important in Medical Image Retrieval and Classification. In order to solve this problem, there proposed a method using Gray-Cell difference Co-occurrence Matrix (GCCM) to ...
null Lidong Fu, null Bin Zhang
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Improving Co-occurrence Matrix Feature Discrimination [PDF]
, 1995 This paper discusses a method of improving the discrimination power of a certain class of GLCM features. We investigate where co-occurrence matrix features derive their discriminatory power, and provide a theoretical basis for improving this method. Finally, we present examples of discrimination improvement using a real-world data.
Walker, Ross F. +2 more
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An Image Retrieval Method on Color Primitive Co-occurrence Matrix
2006The paper presents and realizes a new image retrieval method based on the combination of the color connected area information with the texture features. The image is firstly divided into several parts and the color connected areas in the image is computed, then, the primitive co-occurrence matrix of the four color components corresponded with the ...
Hengbo Zhang, ZongYing Ou, Guanhua Li
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Audio Steganalysis Based on Co-occurrence Matrix and PCA
2009 International Conference on Measuring Technology and Mechatronics Automation, 2009A new steganalysis scheme based on co-occurrence matrix for audio signals is proposed. The statistics features are derived from the co-occurrence matrix firstly, which are calculated from amplitude of audio signals. Then the preprocessing of principal component analysis (PCA) is used on statistics features and the support vector machine (SVM) is used ...
Yinchen Qi, Yan Wang, Jinsha Yuan
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