A combined X-ray/laser 3D imaging technology has been developed for bone fragment and foreign material detection in boneless poultry products. In this paper, various methods of pattern classification including neural network and statistical approaches are applied to the poultry images obtained by the combined imaging system, and the classification performances are compared and analyzed.


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    Title :

    Pattern classification for boneless poultry inspection using combined X-ray/laser 3D imaging


    Contributors:
    Chen, Xin (author) / Jing, Hansong (author) / Tao, Yang (author) / Cheng, Xuemei (author)

    Conference:

    Optical Sensors and Sensing Systems for Natural Resources and Food Safety and Quality ; 2005 ; Boston,MA,United States


    Published in:

    Publication date :

    2005-11-07





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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