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