An object recognition method using the improved snake algorithm

Abstract

The general object recognition method is based on the area segmentation algorithm. Among the many area segmentation methods, the representative Active Contour Model (ACM), the snake model, was used in this paper for effective object recognition. The proposed method involved snake point allotment, contour line convergence, and improvement of the corrected portions, and the method recognized objects stably as a result of medical imaging. This study was conducted to minimize the post-processing cost of area segmentation. Future studies will be conducted to develop an algorithm for more efficient and accurate object recognition by complementing corrective work with contour line convergence work. © 2012 ACM.