Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Entropy and AMBE-based Threshold Selection

엔트로피 및 평균밝기오차의 절대값에 기반한 임계값 결정

  • Received : 2011.04.27
  • Accepted : 2011.05.30
  • Published : 2011.06.25
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Abstract

Entropy used for measuring the richness in details of the image and absolute mean brightness error(AMBE) providing a change in the image global appearance are two quantitative measures generally used for measuring quality of images. In this paper, we propose an entropy and AMBE-based thresholding method to binalize a given image. The effectiveness of the proposed method is demonstrated by thresholding experiments on nine test images and comparison with other conventional thresholding methods, that is, Otsu method and entropy-based method.

영상의 세세한 부분에 대한 표현 정확도를 나타내는 엔트로피와 전체 영상에 있어서의 밝기의 변화를 나타내는 평균밝기 오차의 절대값은 영상의 질을 측정하기 위하여 일반적으로 사용되어지는 두 종류의 양적 측도이다. 본 논문에서는 이러한 엔트로피와 평균밝기오차의 절대값에 기반하여 주어진 영상을 이진화하는 영상 임계화 기법을 제안하고, 9개의 시험 영상에 대한 실험과 기존의 오츠 방법 및 엔트로피 기반의 임계값 결정법과의 비교 및 검토를 통해 제안된 기법의 효용성을 보인다.

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