Title :
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
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;
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
DOI :
10.1109/ICCAE.2010.5451582
