Results 11 to 20 of about 210,898 (254)
A Study for Texture Feature Extraction of High-Resolution Satellite Images Based on a Direction Measure and Gray Level Co-Occurrence Matrix Fusion Algorithm [PDF]
Sensors, 2017 Xin Zhang
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Estimation of Articular Cartilage Surface Roughness Using Gray-Level Co-Occurrence Matrix of Laser Speckle Image [PDF]
Materials, 2017 Doaa Youssef +2 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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Iris Recognition Using 3D Co-occurrence Matrix [PDF]
, 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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Shipin yu jixie, 2023 Objective: To solve the problems caused by the manual sampling inspection in the field of food packaging, such as difficult to operate continuously for a long time, easy to miss and wrong detection, and unreliable detection accuracy and stability ...
ZHANG Bao-sheng +2 more
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Binary Co-occurrence Matrix in Image Database Indexing [PDF]
, 2003 The use of the second order statistical measures has became popular in the image database indexing and retrieval. Unlike the common approach, image histogram, second order statistics like image correlogram and autocorrelogram consider also the spatial organization of the image colors or gray levels. Recently, correlograms and autocorrelograms have been
Iivari Kunttu +3 more
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Matrix Factorization Equals Efficient Co-occurrence Representation
CoRR, 2018 Matrix factorization is a simple and effective solution to the recommendation problem. It has been extensively employed in the industry and has attracted much attention from the academia. However, it is unclear what the low-dimensional matrices represent.
Farhan Khawar, Nevin L. Zhang
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Identification of Anthracnose Disease in Mango Plant Using Clustering and Gray level Co- occurrence Matrix [PDF]
ITM Web of Conferences, 2020 The aim of this paper is to help farmers to identify disease without observing each and every mango plant by eyes. Farmers can use the pesticides according to the leaf disease identified.
Gawand Mamata +4 more
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Feature Extraction of Images Texture Based on Co-occurrence Matrix
Zanco Journal of Pure and Applied Sciences, 2019 There are many techniques to extracted object properties in an image. In this research a co-occurrence matrix has been to adopted for feature extraction of English letters.
Hadia S. Abd allah +2 more
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IEEE AccessChronic tinnitus is a subjective condition where individuals experience persistent noise or ringing without external stimuli, impacting daily life, sleep, and mental health.
Yingying Wang +8 more
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