Porosity Amount Estimation in Stones Based on Combination of One Dimensional Local Binary Patterns and Image Normalization Technique
Image and Video Processing
2018-10-16 v1 Computer Vision and Pattern Recognition
Abstract
Since now, many approaches has been proposed for surface defect detection based on image texture analysis techniques. One of the efficient texture analysis operations is local binary patterns which provides good accuracy.
Keywords
Cite
@article{arxiv.1810.05922,
title = {Porosity Amount Estimation in Stones Based on Combination of One Dimensional Local Binary Patterns and Image Normalization Technique},
author = {Shervan Fekri-Ershad},
journal= {arXiv preprint arXiv:1810.05922},
year = {2018}
}
Comments
16 pages, in Farsi. 9 Figures, Computing Science Journal, Vol. 9, 2018