Results 1 to 10 of about 2,093 (109)
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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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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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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Iris Recognition Using 3D Co-Occurrence Matrix [PDF]
Lecture Notes in Computer Science, 2009 This paper presents a biometric recognition based on the iris of a human eye using gray-level co-occurrence matrix (GLCM). A new approach of GLCM, called 3D-GLCM, which is expanded from the original 2D-GLCM is proposed and used to extract the iris features. The experimental results show that the proposed approach gains an encouraging performance on the
Wen-Shiung Chen +2 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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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
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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
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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
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Rotated Image Retrieval Based on Color Motif Co-occurrence Matrix [PDF]
Jisuanji gongcheng, 2017 In order to increase the retrieval accuracy of the rotated image,this paper proposes a novel rotated image retrieval method by introducing Color Motif Co-occurrence Matrix(CMCM).It designs eight kinds of rotation invariant motifs and gets Motif Excessive
YAN Yu,SONG Wei,ZHU Huadong
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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.
SEO, Suk Tae +4 more
openaire +3 more sources