DocumentCode
2932802
Title
An adaptive fuzzy-based edge detection algorithm
Author
Yang, Yong
Author_Institution
Jiangxi Univ. of Finance & Econ., Nanchang
fYear
2007
fDate
Nov. 28 2007-Dec. 1 2007
Firstpage
276
Lastpage
279
Abstract
In this paper, a novel fuzzy-based edge detection algorithm for images is presented. The algorithm is developed by modifying the classical Pal and King algorithm with a new fuzzy membership function. This membership function can be automatically defined from the threshold of the image, which guarantees the algorithm is adaptive. Some comparisons with existing fuzzy and conventional edge detection algorithms are given in the paper. Experimental results show the proposed algorithm is effective.
Keywords
edge detection; fuzzy systems; adaptive fuzzy algorithm; classical Pal and King algorithm; edge detection; Adaptive signal processing; Communication systems; Equations; Fuzzy set theory; Fuzzy sets; Image edge detection; Image processing; Information management; Iron; Signal processing algorithms; Edge detection; fuzzy membership function; thresholding;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Signal Processing and Communication Systems, 2007. ISPACS 2007. International Symposium on
Conference_Location
Xiamen
Print_ISBN
978-1-4244-1447-5
Electronic_ISBN
978-1-4244-1447-5
Type
conf
DOI
10.1109/ISPACS.2007.4445877
Filename
4445877
Link To Document