Results 1 to 10 of about 210,898 (254)
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
doaj +5 more sources
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
doaj +4 more sources
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
doaj +4 more sources
Co-occurrence Matrix-Based Image Segmentation
IEICE Transactions on Information and Systems, 2010 We propose a simple but effective image segmentation method not based on thresholding but on a merging strategy by evaluating joint probability of gray levels on co-occurrence matrix. The effectiveness of the proposed method is shown through a segmentation experiment.
Soon Hak Kwon
exaly +3 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +1 more source
Scenario-feature identification from online reviews based on BERT [PDF]
PeerJ Computer Science, 2023 Scenario endows a product with meanings. It has become the key to win the competition to design a product according to specific usage scene. Traditional scenario identification and product feature association methods have disadvantages such as ...
Xunjiang Huang, Kang Yan
doaj +2 more sources
Sistemasi: Jurnal Sistem Informasi, 2021 Abstrak Analisis tekstur lazim dimanfaatkan sebagai proses untuk melakukan klasifikasi dan interpretasi citra. Suatu proses klasifikasi citra berbasis analisa tekstur pada umumnya membutuhkan tahapan ekstraksi ciri, yang terdiri dari tiga macam metode ...
Hamdun Sulaiman
doaj +1 more source
TAMNR: a network embedding learning algorithm using text attention mechanism [PDF]
PeerJ Computer Science, 2023 Because many existing algorithms are mainly trained based on the structural features of the networks, the results are more inclined to the structural commonality of the networks.
Wei Zhang +4 more
doaj +2 more sources