Edge detection based on mathematical morphology and image fusion

Edge detection is an important work for object recognition and is also an essential pre-processing step in image segmentation and visual analysis. This paper deeply studies the edge detection methods of the noisy images and concentrates on the mathematical morphology methods. By analyzing and studyi...

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Bibliographic Details
Published inProceedings of 2011 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference Vol. 2; pp. 1290 - 1293
Main Author ShiHu Zhu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2011
Subjects
Edge detection
Image edge detection
image fusion
Image segmentation
mathematical morphology
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Summary:Edge detection is an important work for object recognition and is also an essential pre-processing step in image segmentation and visual analysis. This paper deeply studies the edge detection methods of the noisy images and concentrates on the mathematical morphology methods. By analyzing and studying the theory of mathematical morphology, the paper constructs edge detection operations and analyzes the specialties of the operator and the structure elements. Based on this, the paper proposes a new method of edge detection using mathematical morphology and image fusion. The operations can obtain clear and exact edge of the noisy images. By simulation and comparing with the traditional edge detection operations, the proposed method is more effective on noise restraining and retaining the image details.
ISBN:1424497922
9781424497928
DOI:10.1109/CSQRWC.2011.6037199