Morphological processing for features extraction

Ke-kang Chin; Jafar Saniie

doi:10.1117/12.146667

23 June 1993 Morphological processing for features extraction

Ke-kang Chin, Jafar Saniie

Proceedings Volume 2030, Image Algebra and Morphological Image Processing IV; (1993) https://doi.org/10.1117/12.146667
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

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.

Citation Download Citation

Ke-kang Chin and Jafar Saniie "Morphological processing for features extraction", Proc. SPIE 2030, Image Algebra and Morphological Image Processing IV, (23 June 1993); https://doi.org/10.1117/12.146667

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