New Matching Algorithm Based on Quantification Gradient Orientation Angle
Zhong Si-dong · Jisuanji gongcheng · 2007
A new rotation invariant matching algorithm which is robust against illumination variation is proposed.The gradient orientation angle is a relative stable feature in the condition of illumination fluctuations and object rotation.This paper uses a two-step method to realize the matching of rotated object in changed illuminations by quantifying and statistical analyzing this feature:(1)histograms of this feature of every subimage are employed for approximating the rotation angle of object;(2)rotated matching of templet and subimage in the space of quantification is performed by using the angle value.The effectiveness and robustness of this proposed algorithm has been proved by many experiments designed with real scene images.