Results 1 to 10 of about 766,173 (279)
Different approaches for extracting information from the co-occurrence matrix. [PDF]
PLoS ONE, 2013 In 1979 Haralick famously introduced a method for analyzing the texture of an image: a set of statistics extracted from the co-occurrence matrix. In this paper we investigate novel sets of texture descriptors extracted from the co-occurrence matrix; in ...
Loris Nanni +4 more
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Gray-Level Co-occurrence Matrix Bone Fracture Detection [PDF]
American Journal of Applied Sciences, 2011 Problem statement: Currently doctors in orthopedic wards inspect the bone x-ray images according to their experience and knowledge in bone fracture analysis. Manual examination of x-rays has multitude drawbacks. The process is time-consuming and subjective.
Hum, Yan Chai +5 more
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An Ordinal Co-occurrence Matrix Framework for Texture Retrieval
EURASIP Journal on Image and Video Processing, 2007 We present a novel ordinal co-occurrence matrix framework for the purpose of content-based texture retrieval. Several particularizations of the framework will be derived and tested for retrieval purposes.
Cramariuc Bogdan +2 more
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Authentication of data hiding using co-occurrence matrix [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2012 This research is considered one of the steps aiming to deal with one of the most important challenges facing communicators via Internet, as a means for ensuring information security and verifying the authenticity and credibility of the received message ...
Melad saeed, Ghada thanoon
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Co-occurrence Matrix and fractal dimension for image segmentation
Revista de Matemática: Teoría y Aplicaciones, 2012 One of the most important tasks in image processing problem and machine vision is object recognition, and the success of many proposed methods relies on a suitable choice of algorithm for the segmentation of an image.
Beatriz S. Marón
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Identification of Human Ovarian Adenocarcinoma Cells with Cisplatin-Resistance by Feature Extraction of Gray Level Co-Occurrence Matrix Using Optical Images [PDF]
Diagnostics, 2020 Ovarian cancer is the most malignant of all gynecological cancers. A challenge that deteriorates with ovarian adenocarcinoma in neoplastic disease patients has been associated with the chemoresistance of cancer cells.
Chih-Ling Huang +4 more
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Journal of Pathology Informatics, 2016 Background: Recent developments in molecular pathology and genetic/epigenetic analysis of cancer tissue have resulted in a marked increase in objective and measurable data.
Akira Saito +7 more
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Grey level co-occurrence matrix (GLCM) for textile print analysis [PDF]
Tekstilna industrija, 2022 Print mottle is a print defect. This print defect has great attention in print quality assessment. Print mottle is determined by the grey level co-occurrence matrix (GLCM). An important parameter in the GLCM processing is the direction angle of pixels in
Toshikj Emilija, Prangoski Bojan
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Skin Classification Based on Co-occurance Matrix [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2010 In this paper an algorithm will be achieved to look for the properties of the skin for group then try to classify the skin of the group depending on the four properties (energy, contrast, correlation and homogeneity).
khalil Alsaif, Shaimaa Mohi Al-Deen
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Proposed Method for Tracking Moon Phases using the Co-Occurrence Matrix [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2010 The study Proposes a method to detect the appearance of moon phase in a video serial (AVI) . The proposed algorithm of photographic and videoing treatment presents a method to trace the appearance of moon phases through the analysis of image texture ...
Abeer Thanoon
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