A neutrosophic approach to image segmentation based on watershed method

被引:124
作者
Zhang, Ming [1 ]
Zhang, Ling [2 ]
Cheng, H. D. [1 ]
机构
[1] Utah State Univ, Dept Comp Sci, Logan, UT 84322 USA
[2] Shandong Univ, Sch Math & Syst Sci, Jinan 250100, Shandong, Peoples R China
关键词
Neutrosophy; Watershed; Image segmentation; Homogeneity; Indeterminacy; FUZZY-LOGIC;
D O I
10.1016/j.sigpro.2009.10.021
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Neutrosophy studies the origin, nature, scope of neutralities, and their interactions with different ideational spectra. It is a new philosophy to extend the fuzzy logic and is the basis of neutrosophic logic, neutrosophic probability, neutrosophic set, and neutrosophic statistics. Image segmentation is a key step for image processing, pattern recognition, computer vision. Many existing methods for image description, classification, and recognition highly depend on the segmentation results. In this paper, neutrosophy is applied to image processing by defining a neutrosophic domain, which is described by three subsets T. I, and F. Then we employ watershed algorithm to perform segmentation of the image in the neutrosophic domain. The experiments show that the proposed method can get better results comparing with that obtained by the existing methods. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:1510 / 1517
页数:8
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