Hybrid optoelectric processor based on morphological algorithm for image tracking

Tao Yong; Qingsheng He; Guofan Jin; Haisong Liu; Minxian Wu; Yingbai Yan

doi:10.1117/12.441628

24 September 2001 Hybrid optoelectric processor based on morphological algorithm for image tracking

Tao Yong, Qingsheng He, Guofan Jin, Haisong Liu, Minxian Wu, Yingbai Yan

Proceedings Volume 4554, Object Detection, Classification, and Tracking Technologies; (2001) https://doi.org/10.1117/12.441628
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

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.

Citation Download Citation

Tao Yong, Qingsheng He, Guofan Jin, Haisong Liu, Minxian Wu, and Yingbai Yan "Hybrid optoelectric processor based on morphological algorithm for image tracking", Proc. SPIE 4554, Object Detection, Classification, and Tracking Technologies, (24 September 2001); https://doi.org/10.1117/12.441628

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