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Extended gray level co-occurrence matrix computation for 3D image volume
SPIE Proceedings, 2017Gray Level Co-occurrence Matrix (GLCM) is one of the main techniques for texture analysis that has been widely used in many applications. Conventional GLCMs usually focus on two-dimensional (2D) image texture analysis only. However, a three-dimensional (3D) image volume requires specific texture analysis computation. In this paper, an extended 2D to 3D
Nurulazirah M. Salih +1 more
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Analysis of Image Texture Features Based on Gray Level Co-Occurrence Matrix
Applied Mechanics and Materials, 2012Gray level co-occurrence matrix (GLCM) is a second-order statistical measure of image grayscale which reflects the comprehensive information of image grayscale in the direction, local neighborhood and magnitude of changes. Firstly, we analyze and reveal the generation process of gray level co-occurrence matrix from horizontal, vertical and principal ...
Ying Chen, Feng Yu Yang
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Image Texture Analysis Based on Gray Level Co-Occurrence Matrix
2023 13th International Conference on Information Technology in Medicine and Education (ITME), 2023Chen Meilong +3 more
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Skin Roughness Evaluation Method Based on gray level co-occurrence matrix
2019 Chinese Control And Decision Conference (CCDC), 2019To evaluate the Skin roughness in the image of human, skin features are based on eigenvalues of the gray level co-occurrence matrix are used, and the Pearson correlation coefficient is used to select the eigenvalues as the evaluation index. In the calculation of new eigenvalue, the normal equation is used to calculate the weight to improve the accuracy
Minghao LU +3 more
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3D shape recovery from image focus using gray level co-occurrence matrix
Tenth International Conference on Machine Vision (ICMV 2017), 2018Recovering a precise and accurate 3-D shape of the target object utilizing robust 3-D shape recovery algorithm is an ultimate objective of computer vision community. Focus measure algorithm plays an important role in this architecture which convert the color values of each pixel of the acquired 2-D image dataset into corresponding focus values.
Mahmood, F. +3 more
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Speckle Quality Evaluation Based on Gray Level Co-Occurrence Matrix
Laser & Optoelectronics Progress, 2021初录 Chu Lu +4 more
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Analysis of texture feature extracted by gray level co-occurrence matrix
Journal of Computer Applications, 2009Li-hong YUAN +3 more
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Detection of oil spills based on gray level co-occurrence matrix and support vector machine
Frontiers in Environmental Science, 2022Yu Hongliang
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