基于最大熵的直方图阈值分割算法
Research on the threshold segmentation algorithm Based on Entropy and Histogram of Image
本文对图像阈值化分割算法进行了研究，提出了一种基于最大熵的直方图阈值分割算法，并通过几种常用的评价准则对本文算法和几种典型的图像分割算法进行了客观而定量的评价和比较，实验结果表明：基于最大熵的图像自动阈值选取分割算法分割效果良好，要优于常用的直方图分割算法。
his paper proposes a thresholding segmentation algorithm based on the entropy and histogram of image. In this paper we adopted several criteria to evaluate and compare the proposed algorithm with the other classical image segmentation algorithms. Experimental results show that the automatic image segmentation algorithm based on maximum entropy can perform well and get a better result than the usual histogram segmentation algorithm.
马义德、陈锐、苏茂君
计算技术、计算机技术
图像分割，直方图，分割评价，信息熵
Image Segmentation histogram evaluation criteria entropy
马义德,陈锐,苏茂君.基于最大熵的直方图阈值分割算法[EB/OL].(2007-10-11)[2025-08-23].http://www.paper.edu.cn/releasepaper/content/200710-129.点此复制
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