Results 231 to 240 of about 210,898 (254)
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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   +3 more
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   +4 more
openaire   +1 more source

Classification of off-diagonal points in a co-occurrence matrix

International Journal of Remote Sensing, 2003
The classification of the off-diagonal points within a typical grey level co-occurrence matrix (GLCM) is discussed through the application of an intuitive nearest peak and a boundary rule method. Both approaches are applied to a synthetic image consisting of five regions with varying amounts of added random noise and also to an image containing three ...
Hann, D B, Smith, A M S, Powell, A K
openaire   +2 more sources

A DSM-Based Co-Occurrence Matrix for Semantic Classification

IEEE Geoscience and Remote Sensing Letters, 2022
Wang Xia, Li Yan 0003, Hong Xie 0002
openaire   +1 more source

Co‐occurrence matrix in simulated seismic pattern inspection

SEG Technical Program Expanded Abstracts 1989, 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

Speckle time evolution characterization by the co-occurrence matrix analysis

Optics and Laser Technology, 1999
, Hector Rabal, Ricardo Arizaga
exaly  

Improving the descriptors extracted from the co-occurrence matrix using preprocessing approaches

Expert Systems With Applications, 2015
Emanuele Menegatti   +2 more
exaly  

A comparison of methods for extracting information from the co-occurrence matrix for subcellular classification

Expert Systems With Applications, 2013
Emanuele Menegatti   +2 more
exaly  

Co-occurrence Matrix and statistical features as an approach for mass classification

2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2014
Jaya Sharma, J. K. Rai, R. P. Tewari
openaire   +1 more source

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