Fuzzy Edge Detection Based on Maximum Entropy Thresholding

被引：6

作者：

Singh, Sanjay Kumar ^{[1
]}

Pal, Kirat ^{[1
]}

Nigam, Madhav J. ^{[1
]}

机构：

[1] Indian Inst Technol, Earthquake Engn Dept, Roorkee, Uttar Pradesh, India

来源：

IETE JOURNAL OF RESEARCH | 2011年 / 57卷 / 04期

关键词：

Thresholding; Edge detection; Segmentation; Fuzzy probability; Fuzzy partition; Fuzzy entropy; IMAGES;

D O I：

10.4103/0377-2063.86281

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：

This paper presents a fuzzy edge detection technique based on the maximum fuzzy entropy principle. The concept of fuzzy probability and fuzzy partition is introduced first. Then, based on the conditional probabilities and fuzzy partition, a two-level optimal thresholding is searched adaptively through the maximum fuzzy entropy principle of the gradient image and then the edge images are obtained.

引用

页码：325 / 330

页数：6

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