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Proceedings Paper

Morphological processing for features extraction
Author(s): Ke-kang Chin; Jafar Saniie
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Paper Abstract

In this paper a morphological features extraction algorithm referred to as a morphological scanning edge detector (MSED) is presented. MSED consists of three cascaded processes which are filtering, detecting and scanning. First, a robust morphological filtering process is used to reduce noise in the image without disrupting the edge structures. Then, in the detecting process, two intermediate images are derived by manipulating the filtered image morphologically; one is the difference between dilation and closing, and the other is the difference between opening and erosion. Finally, from these two images, edge positions and strength are located and marked using a scanning process. This scanning process involves the proper selection of thresholding values for feature enhancement. MSED treats various signal features such as step, ramp, ridge, corner, and junction differently. Hence a tailored scanning process can be designed to detect a particular structure. Experimental results are provided to show the effectiveness of the MSED in detecting different image features.

Paper Details

Date Published: 23 June 1993
PDF: 15 pages
Proc. SPIE 2030, Image Algebra and Morphological Image Processing IV, (23 June 1993); doi: 10.1117/12.146667
Show Author Affiliations
Ke-kang Chin, Illinois Institute of Technology (United States)
Jafar Saniie, Illinois Institute of Technology (United States)

Published in SPIE Proceedings Vol. 2030:
Image Algebra and Morphological Image Processing IV
Edward R. Dougherty; Paul D. Gader; Jean C. Serra, Editor(s)

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