光电工程, 2015, 42 (11): 76, 网络出版: 2015-11-30  

配准差分在深空小目标检测中的应用

Deep Sky Small Target Detection Using Registration Difference
作者单位
1 成都信息工程大学 计算机学院,成都 610225
2 中国科学院光电技术研究所,成都 610209
摘要
针对密集星背景的地基大视场、高分辨率光电望远镜获取的图像,提出了一种改进差分的目标检测方法。该方法首先利用编码器信息和望远镜的硬件参数计算帧间差分的配准量并进行差分,差分时将上一帧图像进行膨胀,减少因大气扰动和配准量取整造成的配准误差,尽可能多的抑制背景星边缘,接着将差分后的图像进行分割、目标聚类和标记,从而得到候选目标,然后利用候选目标的位置信息初步去除残留的背景星边缘,最后再利用配准量信息去除双星。经过这一系列的预处理,该方法能高效的去除密集的背景星背景。实验结果表明,对于2 k×2k、背景星密集的图像,通过本算法处理后的候选目标基本控制在20 个以内。
Abstract
In order to detect small target among dense star background, an improved difference target detection method is proposed. Firstly, the registration between two consequence frames is acquired by use information of telescope’s encoder, position and direction. Then previous frame is dilated when the difference, which can reduce error caused by atmospheric disturbances and registration rounding. Secondly, after suppression of background star edge as much as possible, candidate target is obtained by segmenting, target clustering, and labeling of differenced image. Residual background star edges are removed by using the position of candidate targets to remove star edges which not get rid of in previous procedures. Finally, double stars are removed by information of the amount of registration. After a series of pretreatment, dense background star can be removed efficiently by this method. Experimental results show that candidate targets could be kept within 20 by this proposed algorithm, for 2 k×2 k, clustering star background image.

魏敏, 文武, 周进, 何嘉. 配准差分在深空小目标检测中的应用[J]. 光电工程, 2015, 42(11): 76. WEI Min, WEN Wu, ZHOU Jin, HE Jia. Deep Sky Small Target Detection Using Registration Difference[J]. Opto-Electronic Engineering, 2015, 42(11): 76.

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!