DocumentCode :
2402878
Title :
Automatic thresholding in edge detection using fuzzy approach
Author :
Thakkar, Mehul ; Shah, Hitesh
Author_Institution :
Dept. of Electron. & Commun. Eng., G H Patel Coll. of Eng. & Technol., Vallabh Vidyanagar, India
fYear :
2010
fDate :
28-29 Dec. 2010
Firstpage :
1
Lastpage :
4
Abstract :
Edge detection is important step in image processing. In spite of two decade of research the need for general purpose edge detector is still felt. Threshold decision is the key uncertainty in the edge detection algorithms. Soft computing approach represents a good mathematical framework to deal with uncertainty of information. In this work, we used fuzzy logic for automatic thresholding and generated threshold is used with Sobel methods for edge detection. Empirical performance study shows the efficacy of automatic threshold method.
Keywords :
edge detection; fuzzy logic; fuzzy set theory; Sobel methods; automatic threshold method; edge detection algorithms; fuzzy approach; fuzzy logic; image processing; Detectors; Entropy; Fuzzy logic; Histograms; Image edge detection; MATLAB; Pixel; Edge detection; Fuzzy Thresholding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Computing Research (ICCIC), 2010 IEEE International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4244-5965-0
Electronic_ISBN :
978-1-4244-5967-4
Type :
conf
DOI :
10.1109/ICCIC.2010.5705868
Filename :
5705868
Link To Document :
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