This chapter discusses shape matching based on binary images. The use of binary images for shape matching has advantages because morphology functions can be used prior to shape matching to modify the binary image resulting for better results. Binary shape matching is an efficient and effective method to determine the center of mass of matched objects from its shape. By using shape matching, sorting and inspection of objects are possible. The shape of the objects can be classified (sorted) and defects can be determined by comparison with a reference image (inspection). An example of finding objects using binary shape matching is discussed in detail. Due to the requirement that binary shape matching operates on binary images, all target images need to be converted to binary. In order to preserve the original image, additional image memory can be allocated and connected to the image destination input of Vision Assistant.


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    Title :

    Binary Shape Matching


    Contributors:


    Publication date :

    2014-12-08


    Size :

    12 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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