DocumentCode
2447216
Title
Target Recognition Based on Mathematical Morphology
Author
Chen, Zuoping ; Ye, Zhenglin ; Chan, David T W ; Peng, Guohua
Author_Institution
Northwestern Polytech. Univ., Xi´´an
fYear
2007
fDate
15-18 Oct. 2007
Firstpage
457
Lastpage
460
Abstract
A recognition algorithm for a type of coded target widely used in photogrammetry is presented in this paper. An efficient feature vector is first proposed to describe the targets, then mathematical morphological operations are used for clustering to location the the targets in the image. Finally, by ellipse fitting, each coded target in the image is recognized. Experimental results in both the better and worse case demonstrate the effectiveness of our approach.
Keywords
curve fitting; mathematical morphology; object recognition; ellipse fitting; feature vector; mathematical morphology; target recognition; Clouds; Clustering algorithms; Computer graphics; Computer vision; Coordinate measuring machines; Image recognition; Morphological operations; Surface morphology; Target recognition; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer-Aided Design and Computer Graphics, 2007 10th IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-1579-3
Electronic_ISBN
978-1-4244-1579-3
Type
conf
DOI
10.1109/CADCG.2007.4407929
Filename
4407929
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