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