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Defect detection on air bearing surface with gray level co-occurrence matrix
The 4th Joint International Conference on Information and Communication Technology, Electronic and Electrical Engineering (JICTEE), 2014Air bearing surface (ABS) is the part of magnetic read/write head flying height controller. It is very important part in magnetic disk (hard disk drive), defected on ABS lead to crash between read/write head and disk surface, therefore its verifying is necessary. The best way to verify defect on ABS is machine vision.
Pichate Kunakornvong +2 more
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The research of color sorting algorithm based on gray level co - Occurrence matrix
Proceedings of 2013 2nd International Conference on Measurement, Information and Control, 2013The Color sorting technology is the core of color sorters. At present there are many image processing and recognition techniques applied to the color sorting technology. In this paper, we applied the Image Texture Analysis methods to identify the quality of the rice. We can collect the rice image through the CCD camera.
null Weifeng Zhong +3 more
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Iris authentication using Gray Level Co-occurrence Matrix and Hausdorff Dimension
2015 International Conference on Computer Communication and Informatics (ICCCI), 2015Many of the researchers suggest that, Biometrics is the only solution for user identification and security problems. Password incorrect use and misapplication, intentional and inadvertent is a gaping hole in security. These results are mainly occurs due to Poor human judgment, carelessness and due to tactlessness.
P. Steffi Vanthana, A. Muthukumar
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A fast calculation method for gray-level co-occurrence matrix base on GPU
2017 2nd International Conference on Image, Vision and Computing (ICIVC), 2017Gray level co-occurrence matrix (GLCM) has the defect of large computation and long time-delay, which have greatly influenced the real time of system. In order to solve the problem, this paper proposed a parallel algorithm based on graphics process unit (GPU) based on the full analysis of the parallelism of calculating GLCM.
null Huichao Hong +2 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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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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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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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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