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Analysis of Image Texture Features Based on Gray Level Co-Occurrence Matrix

Applied Mechanics and Materials, 2012
Gray 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
openaire   +1 more source

Image Texture Analysis Based on Gray Level Co-Occurrence Matrix

2023 13th International Conference on Information Technology in Medicine and Education (ITME), 2023
Chen Meilong   +3 more
openaire   +1 more source

Skin Roughness Evaluation Method Based on gray level co-occurrence matrix

2019 Chinese Control And Decision Conference (CCDC), 2019
To 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
openaire   +1 more source

Speckle Quality Evaluation Based on Gray Level Co-Occurrence Matrix

Laser & Optoelectronics Progress, 2021
初录 Chu Lu   +4 more
openaire   +1 more source

Analysis of texture feature extracted by gray level co-occurrence matrix

Journal of Computer Applications, 2009
Li-hong YUAN   +3 more
openaire   +1 more source

Image-to-Image Orthodontics Transfer Employing Gray Level CO-Occurrence Matrix Loss

2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022
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