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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 電機工程學系 > 會議論文  >  Image processing and understanding based on the fuzzy inference approach

    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/13314

    Title: Image processing and understanding based on the fuzzy inference approach
    Authors: Bor-Tow Chen
    Yung-Sheng Chen
    Wen-Hsing Hsu
    教師: 許文星
    Date: 1994
    Publisher: Institute of Electrical and Electronics Engineers Inc
    Relation: Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on 26-29 June 1994 Page(s):254 - 259 vol.1
    Keywords: computational linguistics
    feature extraction
    fuzzy set theory
    image processing
    image recognition
    Abstract: In this paper, the feeling of human to images is analyzed using the fuzzy set theory and the processes are implemented based on the fuzzy inference method in order to construct a fuzzy-based image processing and understanding system. Owing to the linguistic meaning of a fuzzy set, we can handle the global feeling of an image instead of the numerical information extraction by some image transformation and pixel statistics. An image understanding process is proposed to label and extract the target object of the image, which is only described by linguistic assignment. The objects in the image are labeled by a membership grade, and the “fuzzy” object is recognized and extracted by the fuzzy inference method. We propose the two-phase module to implement the idea. Two steps include the training and processing steps, the latter one involves two phases: the global feature extraction phase and the process phase. A basic system is constructed, and the feasibility has been confirmed according to the satisfactory performance
    Relation Link: http://ieeexplore.ieee.org/Xplore/dynhome.jsp
    URI: http://nthur.lib.nthu.edu.tw/handle/987654321/13314
    Appears in Collections:[電機工程學系] 會議論文

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