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Proceedings Paper

Image sequence segmentation algorithm based on wavelet transformation with timeline
Author(s): Yao Wang; Guang-Xi Zhu; Daan He; Jinbo Qiu
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Paper Abstract

Presently, image sequences segmentation algorithm can be mainly separated into two parts. One is based on brightness, chroma and margin pixel information, the other is based on frame disparity information, just like Frame Disparity Threshold, Change Detection Mask, High Order Statistic and so on. The first method is seldom used recently, while the latter one is deficient in noise-sensitive. So, we take a special point of view in this paper, and present da new segmentation algorithm based on wavelet with timeline method. Here timeline is offered to control time sequences. Firstly, we transform the image sequences by wavelet on the timeline. After the transformation, we should hold the high- frequency coefficient on the part of motion, and then we obtain motion object's mask by morphological process. By such a series of operations, we can get the final motion object. Finally we device some experiments to measure the methods processing efficiency and real-time properties. The results show that the method is simple and practical.

Paper Details

Date Published: 25 September 2001
PDF: 5 pages
Proc. SPIE 4553, Visualization and Optimization Techniques, (25 September 2001); doi: 10.1117/12.441564
Show Author Affiliations
Yao Wang, Huazhong Univ. of Science and Technology (China)
Guang-Xi Zhu, Huazhong Univ. of Science and Technology (China)
Daan He, Huazhong Univ. of Science and Technology (China)
Jinbo Qiu, Huazhong Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 4553:
Visualization and Optimization Techniques
Yair Censor; Mingyue Ding, Editor(s)

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