Images features extraction is very important for the grading process of flue-cured tobacco leaves. In this paper, a machine vision techniques base system is proposed for the automatic inspection of flue-cured tobacco leaves. Machine vision techniques are used in this system to solve problems of features extraction and analysis of tobacco leaves, which include features of color, size, shape andsurface texture. The experimental results show that this system is a viable way for the features extraction of tobacco leaves, and can be used for the automatic classification of tobacco leaves.


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    Title :

    Images Features Extraction of Tobacco Leaves


    Contributors:
    Zhang, Xinhong (author) / Zhang, Fan (author)


    Publication date :

    2008-05-01


    Size :

    253065 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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