Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Tree image comparison analysis using LBP method

LBP 방식을 이용한 나무 영상 비교 분석

  • Kim, Ji-hong (Department of Information and Communication Engineering, Semyung University) ;
  • Lee, Jonghyun (2Canz co., ltd.)
  • Received : 2021.01.13
  • Accepted : 2021.03.11
  • Published : 2021.04.30
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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.

LBP 알고리즘은 지역적 질감표현이라는 특성을 가지고 있기 때문에 기준영상과 샘플 영상의 추출 위치와 크기에 따라 전혀 다른 결과를 얻을 수 있다. 이러한 단점을 해결하기 위하여 본 논문에서는 먼저 LBP 기본특성을 조사하고, 기준영상(100×100)의 크기를 영상내의 대부분의 특성을 포함할 수 있도록 하고, 임의의 지점에서 추출된 샘플영상(40×40)을 선택한다. 기준영상의 LBP와 샘플영상의 LBP 간의 상관관계를 이용하여 기준영상의 LBP에서의 매칭위치를 찾은 후, 카이분석 방법을 사용하여 샘플영상과 가장 일치하는 기준영상을 찾는 방법을 제시한다.

Keywords

Acknowledgement

This paper was supported by the Semyung University Research Grant of 2019.

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