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《Journal of Southwest China Normal University(Natural Science Edition)》 2014-01
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An Improved Image Feature Matching Algorithm Based on Edge Orientation and Gradient

LUO Xuan;Computer Science Department,Chongqing Youth Vocational&Technical College;  
Active shape model is an image feature matching algorithm based statistical parametric model,which is mainly used for extracting the image feature points.On the basis of analyzing the disadvantage of traditional method,a new feature matching algorithm based on improved ASM is proposed.Intensity value is used for building texture model in original ASM,and it is sensitive to illumination and posture variations in images,which will lead to a larger error or a failure matching of ASM.A new measure is used which indicates the orientation of structures for each pixel rather than intensity value.The improved representation method uses the edge direction and strength of the information to model local texture model,it is equivalent with fusion the edge feature information,and the edge information can be better make the model convergence to outer contour of the image.So it can prompt the matching accuracy for internal feature points.The experimental results show that the improved method can effectively improve the precision of matching model.
【CateGory Index】: TP391.41
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