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Edge detection using scale space knowledge

DSpace at IIT Bombay

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Title Edge detection using scale space knowledge
 
Creator KULKARNI, ANOOP
SHEVGAONKAR, RK
SAHASRABUDHE, SC
 
Subject computer vision
edge detection
inference mechanisms
knowledge based systems
 
Description Edge detection has acquired enormous importance in computer vision research: gaussian filter has been widely used in the past to accomplish this task. Although the gaussian filter has nice scaling behaviour and is computationally elegant, it suffers from the disadvantage of delocalisation of edges when operated at higher scales. Multi-scale processing of an image is thus required. In this paper, the process of edge detection has been looked upon as a reasoning problem. In the past, knowledge handling and reasoning have been attributed to high level vision routines, but from the results presented here, it can be argued that reasoning does play an important role in the process of edge detection. The knowledge base required for this is formed out of the theory of scale space. Particular emphasis is laid on the behaviour of delocalised, missing and false or spurious edges in the scale space. The scale space is formed by operating the LoG filter of different sizes on the input image. The dissimilarity among the zero crossings is measured across the scales. It is useful in the removal of false edges. A compatibility measure relates the zero-crossing contour with the current scale parameter, σ. The rules are coded in NEXPERT OBJECT 2.0. The results are compared with Canny's multiple edge detection algorithm.
 
Publisher IEEE
 
Date 2008-12-17T08:00:50Z
2011-11-27T13:53:49Z
2011-12-15T09:56:54Z
2008-12-17T08:00:50Z
2011-11-27T13:53:49Z
2011-12-15T09:56:54Z
1993
 
Type Article
 
Identifier TENCON'93: Proceedings of the IEEE Region 10 Conference on Computer, Communication, Control and Power Engineering (V 2), Beijing, China, 19-21 October 1993, 986-990
0-7803-1233-3
10.1109/TENCON.1993.320179
http://hdl.handle.net/10054/364
http://dspace.library.iitb.ac.in/xmlui/handle/10054/364
 
Language en