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A low-cost approach to real-time morphological edge detection

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3 Author(s)
Fathy, M. ; Dept. of Comput. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran ; Siyal, M.Y. ; Darkin, C.G.

Real-time edge-based image detection is an important task in many image analysis operations. Morphological-based edge detection operators have been shown to be effective as well as being efficiently implementable in many image processing applications. In this paper, the concept behind the development of various morphological edge detection operators is briefly described. A new edge detector, based on combining separable median filtering and morphological operations, is introduced. The performance of the proposed edge detector is compared with some other edge detectors. A low-cost methodology for implementing the morphological edge detectors is presented

Published in:

TENCON '94. IEEE Region 10's Ninth Annual International Conference. Theme: Frontiers of Computer Technology. Proceedings of 1994

Date of Conference:

22-26 Aug 1994