Results 211 to 220 of about 8,610,250 (238)

DBC Co-occurrence Matrix for Texture Image Indexing and Retrieval

2014
In 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
openaire   +1 more source

A Co-occurrence Matrix algorithm used for medical image

Proceedings of 2011 International Conference on Computer Science and Network Technology, 2011
Techniques 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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Image Retrieval Using Weighted Color Co-occurrence Matrix

2005
Weighted Color Co-occurrence Matrix (WCCM) is introduced as a novel feature for image retrieval. When indexing images with WCCM feature, the similarities of diagonal elements and non-diagonal elements are weighted respectively based on the Isolation Parameters of the query and prototype images. After weighting, the similarity of relevant matches to the
Dong Liang 0001, Jie Yang 0002, Jin-jun Lu, Yuchou Chang   +3 more
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Audio Steganalysis Based on Co-occurrence Matrix and PCA

2009 International Conference on Measuring Technology and Mechatronics Automation, 2009
A 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
openaire   +1 more source

Cracklike defects sizing from co-occurrence matrix

IEEE Symposium on Ultrasonics, 2002
The inspection of austenitic welds used in the nuclear field with ultrasound involves problems of interpretation: intense grain noise makes the detection of the crack difficult. The formation B-scan images and their digital processing increase the effectiveness of testing. A segmentation method based on the cooccurrence matrix is presented.
J. Moysan, G. Corneloup, I. Magnin, P. Benoist, O. Basset   +4 more
openaire   +1 more source

An Image Retrieval Method on Color Primitive Co-occurrence Matrix

2006
The 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
openaire   +1 more source

Image matching based on the co-occurrence matrix

In this work, the Gray Level Co-occurrence Matrices (GLCM) and cross-correlation are compared in an image matching process. First, three images are generated in different noise environments to simulate the images being derived from different sensors. Then, a Laplacian Pyramid is used as a high-pass filter.
Hsing-Wen Hseu, Abhir Bhalerao, Roland Wilson   +2 more
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A DSM-Based Co-Occurrence Matrix for Semantic Classification

IEEE Geoscience and Remote Sensing Letters, 2022
Wang Xia, Li Yan 0003, Hong Xie 0002
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Co-occurrence matrix in simulated seismic pattern inspection

International Meeting for Applied Geoscience & Energy, 1989
Don and Fu (1984) had successfully inspected the metal surface using pattern classification techniques. Due to the similarity between the seismic data images and the metal surface images, several pattern classification techniques are applied to inspect he seismic patterns.
openaire   +1 more source

Disparities in Liver Cancer Occurrence in the United States by Race/Ethnicity and State

Ca-A Cancer Journal for Clinicians, 2017
Rebecca L. Siegel, Ahmedin Jemal, Kimberly D Miller   +2 more
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