文章基本信息

标题：A Fast and Robust Method for Image Segmentation Using Fuzzy Solutions of Partial Differential Equations
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作者：Yiliang Zeng ; Jinhui Lan ; Jinlin Zou 等
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2015
卷号：8
期号：10
页码：389-400
DOI：10.14257/ijsip.2015.8.10.38
出版社：SERSC
摘要：In this paper, an efficient method for image segmentation with the help of the fuzzy solutions of partial differential equations is presented. We first designed a Poisson equation model for image segmentation using fuzzy solution technology, which aims to find a fuzzy solution to satisfy precisely the PDEs. Then, an appropriate segmentation model was obtained to extract the boundary of objects, according to the numerical characteristic in fuzzy solving process. Comparison with the previous approaches is provides to validate the validity of the proposed method. Experimental results on synthetic and real-world images demonstrate that the proposed method has good performances in terms of speed, accuracy, robustness against Gaussian noise, and effectiveness in shadow
关键词：Fuzzy solutions; image segmentation; Poisson equation; numerical ; characteristic