A measure of edge ambiguity using fuzzy sets

Pal, S. K. (1986) A measure of edge ambiguity using fuzzy sets Pattern Recognition Letters, 4 (1). pp. 51-56. ISSN 0167-8655

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Official URL: http://linkinghub.elsevier.com/retrieve/pii/016786...

Related URL: http://dx.doi.org/10.1016/0167-8655(86)90073-5


Algorithms for providing a quantitative measure of edge ambiguity are described through fuzzy measures in a set. An index is defined whose value is maximum for a grey tone image and decreases as the fuzziness in detecting edges decreases. The inherent fuzzifying property of the S-function is found to enable one not to use the INT operator for contrast enhancement and to save the time of computation greatly as measured by the index value. The index value is also found to increase with standard deviation of injected random noise.

Item Type:Article
Source:Copyright of this article belongs to International Association for Pattern Recognition.
Keywords:Image Processing; Fuzzy Sets; Edge Ambiguity
ID Code:26102
Deposited On:06 Dec 2010 13:05
Last Modified:13 Jun 2011 06:13

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