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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/38602

    Title: An Efficient Video Object Segmentation Based on Mask Pre-Filling Algorithm
    Authors: Chang, Chih-Yueh;Chiang, Jen-Shiun;Ye, Fun;Hsia, Chih-Hsien
    Contributors: 淡江大學電機工程學系
    Keywords: Edge detection;Mathematical morphology;Video object segmentation
    Date: 2007
    Issue Date: 2010-01-11 15:34:13 (UTC+8)
    Abstract: In this paper, we propose a new video object segmentation algorithm using the morphologi-cal technique. Several video object segmenta-tion algorithms used mathematical morphology to generate the object masks, but operations of mathematical morphology have two drawbacks: (1) high computation load, and (2) the quality of masks depends on the chosen morphological structuring element. There are many techniques to speed up the morphological operations by hardware implementation, but no discussions about reducing the influence of the choice of structuring elements. By adding a pre-processing mechanism, we effectively reduce the influences of the chosen structuring elements based on continuity of shape features and times of morphological operations. Experimental re-sults indicate that our algorithm can improve the speed of filling operations of the object masks and accuracy of segmentation.
    Relation: 第五屆現代通訊科技應用學術研討會論文集;Proceedings of the 5th Conference on Communication Application, 4p.
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Proceeding

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