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.
Binary Particle Classification
2014-12-08
18 pages
Article/Chapter (Book)
Electronic Resource
English
Binary Particle Swarm and Fuzzy Inference for Image Classification
British Library Conference Proceedings | 2006
|Binary Classification Trees for Multi-class Classification Problems
British Library Conference Proceedings | 2003
|Particle acceleration in compact binary stars
Elsevier | 1984
|