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
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;
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
DOI :
10.1109/ICMT.2011.6001892
