Active Contours Base On Mazimum Gravity Optimization Algorithm

摘要：

Snakes, or active contours, are used extensively in medical image or geographic image processing and analysis. However, initialization problem and concave boundary problem seriously affect the performance of snake model. This paper presents a snake model based on Maximum Gravity Algorithm (MGA), a new global optimization algorithm which has the merits of less individuals, simple calculation, robustness and high performance. In our method, we choose energy formula of traditional snake model as the objective function, MGA as the optimization algorithm. The experiment results show that our algorithm can overcome the shortcomings of traditional snake model, and image segmentation accuracy is high.

关键词： snake active contour MGA

作者: Jin Linpeng LI Junli Wei Ping Qiu Yina Jin Wei

作者单位: Institute of DSP and Software Techniques Ningbo University Ningbo,China

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）