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
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;
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
DOI :
10.1109/CADCG.2007.4407929
