Binary particle classification identifies an unknown object in a binary image by comparing a set of its significant features with a set of features that conceptually represent classes of known samples. The Binary Particle Classification method is different from geometric matching and pattern matching in that it is based on particle analysis of binary images. This chapter discusses binary particle classification in detail. Binary particle classification is a fast method when the objects need to be sorted. However, this method will not find occluded objects because the method is based on binary images and two or more occluded objects are considered as one object of a different shape. The chapter uses example images to practice classification function. Finally, the steps for classifying objects using Vision Assistant are provided.


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    Title :

    Binary Particle Classification


    Contributors:


    Publication date :

    2014-12-08


    Size :

    18 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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