NDLI: Fuzzy edge detector using entropy optimization

Content Provider	IEEE Xplore Digital Library
Author	Hanmandlu, M. See, J. Vasikarla, S.
Copyright Year	2004
Description	Author affiliation: Dept. of Electr. Eng., IIT Delhi, New Delhi, India (Hanmandlu, M.)
Abstract	This paper proposes a fuzzy-based approach to edge detection in gray-level images. The proposed fuzzy edge detector involves two phases - global contrast intensification and local fuzzy edge detection. In the first phase, a modified Gaussian membership function is chosen to represent each pixel in the fuzzy plane. A global contrast intensification operator, containing three parameters, viz., intensification parameter t, fuzzifier f/sub h/ and the crossover point x/sub c/, is used to enhance the image. The entropy function is optimized to obtain the parameters f/sub h/, and x/sub c/ using the gradient descent function before applying the local edge operator in the second phase. The local edge operator is a generalized Gaussian function containing two exponential parameters, /spl alpha/ and /spl beta/. These parameters are obtained by the similar entropy optimization method. By using the proposed technique, a marked visible improvement in the important edges is observed on various test images over common edge detectors.
Sponsorship	IEEE Comput. Soc. Task Force on Information Technology for Business Application
Starting Page	665
Ending Page	670
File Size	1508167
Page Count	6
File Format	PDF
ISBN	0769521088
DOI	10.1109/ITCC.2004.1286542
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-04-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Detectors Entropy Image edge detection Fuzzy sets Image processing Phase detection Optimization methods Testing Image enhancement Computer vision
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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