An edge detection algorithm of remote sensing images based on fuzzy sets

Author

Yi, Liu ; Xue-quan, Chen

Author_Institution

Dept. of Electron. Eng. & Inf. Sci., Univ. of Sci. & Technol. of China, Hefei, China

Volume

2

fYear

2004

Firstpage

984

Abstract

By analyzing the characteristics of remote sensing images and current algorithms of edge detection, this paper presents an improved edge detection algorithm of remote sensing images, which is based on fuzzy logic theory and the conventional Pal-King algorithm. We redesign the membership function, modify the method of fuzzy enhancement, and use an edge evaluation criterion to control the iterative procedure automatically. Experimental results show that this algorithm is superior to the others in edge detection of remote sensing images, and is very useful in the processing of multi-temporal and/or multi-source satellite image analyses. It is an algorithm with high feasibility and effectivity.

Keywords

edge detection; fuzzy logic; fuzzy set theory; image enhancement; iterative methods; remote sensing; Pal-King algorithm; edge detection; edge evaluation; fuzzy enhancement; fuzzy logic theory; fuzzy sets; iterative procedure; membership function; multi-source satellite image analyses; multi-temporal image analyses; remote sensing images; Algorithm design and analysis; Automatic control; Fuzzy control; Fuzzy logic; Fuzzy sets; Image analysis; Image edge detection; Iterative algorithms; Iterative methods; Remote sensing;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Circuits and Systems, 2004. ICCCAS 2004. 2004 International Conference on

Print_ISBN

0-7803-8647-7

Type

conf

DOI

10.1109/ICCCAS.2004.1346344

Filename

1346344