Paper
3 November 2005 Edge detection based on dynamic morphology
Shan Duan, Qian-Qing Qin
Author Affiliations +
Proceedings Volume 6044, MIPPR 2005: Image Analysis Techniques; 604419 (2005) https://doi.org/10.1117/12.655209
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China
Abstract
Mathematical morphology is shape sensitive and can be used in edge detection because it deals directly with the geometrical properties of objects. The usual morphology operates on all pixels of an image, it may waste computation time as well as degrade the resulting precision. To solve these problems, in this paper, we modify the traditional gray morphology definitions, and propose an edge detection algorithm for gray image, and in a general way suitable for multispectral image based on the theory of multivalued morphology, which only operates on the parts of interest in an image and reacts to certain characteristics of the region.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shan Duan and Qian-Qing Qin "Edge detection based on dynamic morphology", Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 604419 (3 November 2005); https://doi.org/10.1117/12.655209
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Cited by 3 scholarly publications.
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KEYWORDS
Edge detection

Image processing

Multispectral imaging

Binary data

Chemical elements

Mathematical morphology

Detection and tracking algorithms

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