DocumentCode :
3070890
Title :
Gabor filter and rough clustering based edge detection
Author :
Adak, Chandranath
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Kalyani, Kalyani, India
fYear :
2013
fDate :
23-24 Aug. 2013
Firstpage :
1
Lastpage :
5
Abstract :
This paper introduces an efficient edge detection method based on Gabor filter and rough clustering. The input image is smoothed by Gabor function, and the concept of rough clustering is used to focus on edge detection with soft computational approach. Hysteresis thresholding is used to get the actual output, i.e. edges of the input image. To show the effectiveness, the proposed technique is compared with some other edge detection methods.
Keywords :
Gabor filters; edge detection; image enhancement; image segmentation; pattern clustering; statistical analysis; Gabor filter; edge detection; hysteresis thresholding; image smoothing; rough clustering; Approximation methods; Educational institutions; Gabor filters; Hysteresis; Image color analysis; Image edge detection; Image segmentation; Gabor filter; edge detection; hysteresis thresholding; rough clustering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Human Computer Interactions (ICHCI), 2013 International Conference on
Conference_Location :
Chennai
Type :
conf
DOI :
10.1109/ICHCI-IEEE.2013.6887768
Filename :
6887768
Link To Document :
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