Plane Sequence Image Recognition Based on Moment Invariant and D-S Evidence Theory
Kun Liu · Jisuanji fangzhen · 2010
D-S evidence theory,which is a kind of image fusion method on a decision level and capable of combining data of all information sources,can increase information reliability and improve system fault-tolerant ability.This paper combines moment invariant and D-S evidence theory and makes plane sequence image recognition effectively.This paper constructs the template base of plane images,extracts moment invariant characteristics of images to be recognized,and proposes two kinds of methods constructing Basic Belief Assignment,then uses D-S evidence theory to fuse and get the recognition result.This paper compares the effects of two kinds of moment invariant characteristics and three kinds of constructed functions.Comparing with the results of Support Vector Machine and Neural Network,it is obviously that evidence theory method is more effective to 3-D target recognition.