IMAGE BASED ON ACTIVE CONTOUR

Cheng Siyuan  Zhang Xiangwei  Xiong Hanwei

(College of Electromechanical Engineering, Guangdong University of Technology, Guangzhou 510090)

Abstract: Surface reconstruction from contours is an important research aspect in reverse engineering, in which image segmentation is a key step. A new image segmentation method base on B-spline active contour model is proposed, and  Greedy algorithm is adopted to solve this model, which can produce fast and stable segmentation results and is fit for surface reconstruction from contours application. Series magnetic resonance image is successfully segmented by this model, and from the results, surface reconstruction is realized, which demonstrate the feasibility of the method.

Key words: Reverse engineering  Image segmentation  Surface reconstruction  Active contour

CLC No: TP391

国家自然科学基金(10272033)和广东省自然科学基金(04105386)资助项目. Received 20040422, received in revised form 20041009