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Proceedings Paper

Hybrid optoelectric processor based on morphological algorithm for image tracking
Author(s): Tao Yong; Qingsheng He; Guofan Jin; Haisong Liu; Minxian Wu; Yingbai Yan
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Paper Abstract

In this paper, a hybrid optoelectric processor based on morphological algorithm is described for Image Tracking. It is set up based on an incoherent optical correlator, which has some merits in compactness, immunity to coherent noise and flexibility for applications. A modified edge detection, a dilation operation and a two-dimensional extensive complementary encoding method are proposed to preprocess the images. An automatic postprocessing for improving the recognition capability is introduced. The scene image recognition and tracking experiments are implemented, and the experimental results are given.

Paper Details

Date Published: 24 September 2001
PDF: 7 pages
Proc. SPIE 4554, Object Detection, Classification, and Tracking Technologies, (24 September 2001); doi: 10.1117/12.441628
Show Author Affiliations
Tao Yong, Tsinghua Univ. (China)
Qingsheng He, Tsinghua Univ. (China)
Guofan Jin, Tsinghua Univ. (China)
Haisong Liu, Tsinghua Univ. (China)
Minxian Wu, Tsinghua Univ. (China)
Yingbai Yan, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 4554:
Object Detection, Classification, and Tracking Technologies
Jun Shen; Sharatchandra Pankanti; Runsheng Wang, Editor(s)

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