摘要
提出一种基于自交区域碰撞替换的医学图像渐变优化算法,该算法根据图形渐变序列中的信息,构建可能出现自交的区域,对自交点进行判断,运用碰撞理论对自交点进行验证。使得渐变过程中的像素最小程度地发生自交,保证渐变效果最优化。后期的实验仿真表明,该方法能够对复杂的医学器官图像进行较好的渐变优化,自交现象明显得到改善。
Proposed based on self collision area replacement of medical image gradient optimization algorithm, this algo- rithm according to the graph information in a sequence of ramp, construct self area, may occur on the intersection point, using the theory of collision of intersection for verification. The pixels in the process of gradual minimum of self, ensure gradual change effect optimization. Later the experimental simulation results show that this method can better on complex organs of medical image ~adient optimization, self phenomenon obviously improved.
出处
《科技通报》
北大核心
2013年第8期160-162,共3页
Bulletin of Science and Technology
基金
吉林省教育厅十二五社会科学研究项目(2013D405)
关键词
医学图像
渐变优化
碰撞
自交
medical image
gradient optimization
collision
self
