DocumentCode :
3133110
Title :
Edge detection based on multi-structure elements morphology and image fusion
Author :
Zhu, ShiHu
Author_Institution :
Sch. of Phys. & Electron. Eng., Xuzhou Normal Univ., Xuzhou, China
Volume :
2
fYear :
2011
fDate :
20-21 Aug. 2011
Firstpage :
406
Lastpage :
409
Abstract :
Edge detection is a fundamental and essential pre-processing step in applications such as image segmentation and computer vision. Conventionally, single edge detection method can only reflect the edge information from certain aspect. 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 these operations and the structure elements. The new method of edge detection based on multi-structure elements morphology and image fusion is proposed. By simulation and comparing with the traditional edge detection operations, the proposed method not only can effectively eliminate the image noise, but also can effectively maintain good edge information.
Keywords :
edge detection; image denoising; image fusion; mathematical morphology; computer vision; edge detection; image fusion; image segmentation; mathematical morphology methods; multistructure element morphology; noisy images; Algorithm design and analysis; Detectors; Entropy; Image edge detection; Image fusion; Morphology; Noise; Edge detection; image fusion; mathematical morphology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Control and Industrial Engineering (CCIE), 2011 IEEE 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9599-3
Type :
conf
DOI :
10.1109/CCIENG.2011.6008150
Filename :
6008150
Link To Document :
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