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http://dx.doi.org/10.6109/jkiice.2021.25.4.530

Tree image comparison analysis using LBP method  

Kim, Ji-hong (Department of Information and Communication Engineering, Semyung University)
Lee, Jonghyun (2Canz co., ltd.)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.25, no.4, 2021 , pp. 530-536 More about this Journal
Abstract
Since the LBP algorithm has the characteristic of local texture expression, it is possible to obtain completely different results depending on the extraction location and the size of the reference image and the sample image. In order to solve these shortcomings, in this paper, we first investigate the basic characteristics of LBP, make the size of the reference image (100×100) in order to include most of the characteristics in the image, and select a sample image (40×40) extracted from an arbitrary point. After finding the matching position in the LBP of the reference image by using the correlation test between the LBP of the reference image and the LBP of the sample image, a chi analysis method is used to find the reference image that most closely matches the sample image.
Keywords
LBP; Uniform; Non-uniform; Tree recognition; Texture;
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