Integrated Feature and Its Application to Image Detection and Matching
图像综合特征及其在图像检测与匹配中的应用

This paper describes a new approach to image matching.Edge detection uses SUSAN(Small Univalue Segment Assimilating Nucleus) method at low level image processing.Integration features matching can complete object recognition and tracking based on invariant moments in combination with configuration and intensity information.Feature detection with SUSAN method locates precisely and is not sensibly for local noise.Seven moments of image have translation invariant,rotation invariant and scale invariant.Simulations also show that the algorithm is efficient for image with intensity variety,geometry aberration and noise.