Noise characteristics based on genetic algorithm optimizations of image reconstruction

摘要：

　　GA approach suitable for solving object Recognition problem is described and evaluated using a series of simple model problems.Usually GA calculation produces enormous amount of data that contains rich information,of which only a tiny section is commonly utilized runs through the design optimization.An application of Genetic Algorithm optimization with Noise characteristics would give many insights into how to allocate various image reconstruction options in different echelons,GA employing a global search might identify a better solution in an different area of the search space.

关键词： Genetic algorithm Noise characteristics Image reconstruction

作者: He Yan Xiufeng Wang

作者单位: School of Materials Science & Engineering,Shaanxi University of Science and Technology, Xian, China

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 2116-2120

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）