Extraction of the Air Target Position on the CCD Image

摘要：

After comprehensively studying OSTU method with maximum variance between two classes and the genetic algorithm (GA) principle, an OSTU method based on the self adaptive genetic algorithm (SAGA) is proposed for image segmentation. In this paper, the OSTU method is optimized in the GA based on the encoding, selection, crossover and mutation operations. The experimental results show that by using SAGA method, the efficiency of getting the optimal solutions can be improved, the premature problem can be avoided to a great extent and finally the satisfying solution can be achieved. The image segmentation results show that the OSTU method based on the SAGA is not only quicker in computing speed, but also higher quality in image segmentation. On the basis of the better image segmentation result, the target position in the CCD image can be extracted more accurately in the centroid method.

关键词： OSTU Genetic Algorithm Image Segmentation

作者: Yin Zhixin Mao Zheng Wei Fuling Wang Yali

作者单位: College of Electronic Information and Control Engineering,Beijing University of Technology,Beijing,100022 China

会议类型: 国际会议

会议名称: 第八届国际电子测量与仪器学术会议(Proceedings of 2007 8th International Conference on Electronic Measurement & Instruments)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-08-16（万方平台首次上网日期，不代表论文的发表时间）