A New Automatic Thresholding of Gray-Level Images Based on Maximum Entropy of Two-Dimensional Pixel Histogram

이웃 화소간 이차원 히스토그램 엔트로피 최대화를 이용한 명도영상 임계값 설정

In this paper, we present a new automatic thresholding algorithm based on maximum entropy of two-dimensional pixel histogram. While most of the previous algorithms select thresholds depending only on the histogram of gray level itself in the image, the presented algorithm considers 2D relational histogram of gray levels of two adjacent pixels in the image. Thus, the new algorithm tends to leave salient edge features on the image after thresholding. The experimental results show the good performance of the presented algorithm.