A new method of fuzzy edge detection based on Gauss function

Author

Zhang Jinping ; Lian Yongxiang ; Dong Linfu ; Zhao Xueguang ; Liu Jie

Author_Institution

Sch. of Mech. Eng., Shenyang Inst. of Chem. Technol., Shenyang, China

Volume

4

fYear

2010

fDate

26-28 Feb. 2010

Firstpage

559

Lastpage

562

Abstract

An improved fuzzy edge detection algorithm is presented, and the drawbacks of Pal fuzzy algorithm have been overcome by a new enhancement operator based on gauss function. Firstly, the threshold parameter was confirmed by maximum variance automatic selection threshold method, and then linear translation was used to define a new membership function based on the new threshold parameter. As a result, the image can be changed to the equivalent image fuzzy characteristics plane. The enhance operation can be used in the fuzzy characteristics plane with the Gauss enhancement operator. Then the edge extraction can be carried out after the image has been changed to a spatial domain image as mentioned above. The experiment results show that not only the edge is obvious but also the noise is light by adopting this new algorithm.

Keywords

edge detection; error analysis; feature extraction; fuzzy set theory; Gauss function; Pal fuzzy algorithm; edge extraction; fuzzy edge detection algorithm; maximum variance automatic selection threshold method; threshold parameter; Automation; Chemical technology; Cities and towns; Electronic mail; Gaussian processes; Genetic mutations; Image edge detection; Iron; Mechanical engineering; Pixel; Gauss function; enhance operation; enhancement operator; fuzzy edge detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-5585-0

Electronic_ISBN

978-1-4244-5586-7

Type

conf

DOI

10.1109/ICCAE.2010.5451582

Filename

5451582