文章基本信息

标题：A Three-Level Thresholding Technique based on Nonextensive Entropy and Fuzzy Partition with Artificial Bee Colony Algorithm
本地全文：下载
作者：Fangyan Nie
期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2015
卷号：8
期号：7
页码：1-10
DOI：10.14257/ijhit.2015.8.7.01
出版社：SERSC
摘要：In this paper, a new three-level thresholding method for image segmentation is proposed based on nonextensive entropy and fuzzy sets theory. Firstly, the image histogram is transformed from crisp set to fuzzy domain using fuzzy membership function, such as triangular membership function. After that, the nonextensive entropy of each part of fuzzy domain of histogram is computed. The threshold is selected by maximizing the nonextensive fuzzy entropy. However, the search of combination of membership function's parameters is costly. For reduce the computation time, the artificial bee colony algorithm is used to search the optimal combination of the membership function's parameters. The experimental results on tested images demonstrate the success of the proposed approach compared with the competing methods.
关键词：image segmentation; histogram thresholding; nonextensive entropy; fuzzy ; sets; artificial bee colony