Shape Matching Utilizing the Similarity Measure of Target Shapes

This paper presents a new efficient method, based on the similarity measure of the target shapes (MSTS), for shape matching issue. MSTS uses improved GVF snake to obtain the contours and takes curve evolution to predigest the contour at first. And then it operates the tangent space representation to deduct the predigested target shapes. Finally, the method on the base of the similarity measure of target shapes is adopted to match shapes. Experiments demonstrate that MSTS, combined with the improved GVF snake and curve evolution algorithms effectively, can express the target shapes simply and accurately, and also show a better balance among anti-jamming, the precision of matching and the speed of matching.