DocumentCode
3026764
Title
An improved image edge detection algorithm based on fuzzy sets
Author
Wang, Yanhong ; Li, Denghui ; Xu, Yaning
Author_Institution
Guangxi Key Lab. of Inf. & Commun., Guilin Univ. of Electron. Technol., Guilin, China
fYear
2011
fDate
26-28 July 2011
Firstpage
2939
Lastpage
2941
Abstract
An improved image edge detection algorithm based on generalized fuzzy sets is proposed in order to overcome the shortcomings of the traditional algorithm. A new membership function is reconstructed in this paper, and it maps the image from space domain to fuzzy domain. The image is processed by enhance operator. Finally, the fuzzy membership value is transformed with inverse operation, and the image´s edge gray value is got. The results show that the improved algorithm effectively reduces the computation and improves the image quality. Therefore the improved algorithm in this paper is more effective.
Keywords
edge detection; fuzzy set theory; image colour analysis; image reconstruction; edge gray value; fuzzy membership value; fuzzy sets; image edge detection; image quality; image reconstruction; membership function; Algorithm design and analysis; Biomedical imaging; Fuzzy sets; Image edge detection; Manganese; Noise; edge detection; fuzzy set; membership function;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-61284-771-9
Type
conf
DOI
10.1109/ICMT.2011.6001892
Filename
6001892
Link To Document