一种新的模糊边缘检测算法-------外文翻译.doc

Abstract：Based upon the maximum entropy theorem of information theory, a novel fuzzy approach for edge detection is presented .Firstly, a definition of fuzzy partition entropy is proposed after introducing the concept of fuzzy probability and fuzzy partition, The relation of the probability partition and the fuzzy c-partition of the image gradient are used in the algorithm。Secondly, based on the conditional probabilities and the fury partition, the optimal thresholding is searched adaptively through the maximum fuzzy entropy principle, and then the edge image is obtained。Lastly, an edge-enhancing procedure is executed on the edge image .The experimental results show that the proposed approach performs well。
Key words :edge detection ;fuzzy entropy ;image segmentation ;fuzzy partition
摘要:基于信息论中最大熵原理，提出了一种新的模糊边缘检测算法。首先介绍了模糊概率、用条件概率与条件熵定义模糊划分熵的概念以及模糊划分的原理。算法利用了自然划分以及梯度图像模糊划分的关系，在条件概率与模糊划分熵的基础上，通过最大模糊熵原则实现图像分割中最优阈值的自动提取，从而实现图像的边缘检测。对不同测试图像的边缘检测结果进行比较，表明了该算法的有效性。
关键词：边缘检测；模糊熵；图像分割；模糊划分