光学与光电技术, 2017, 15 (1): 20, 网络出版: 2017-02-23
基于点Hough的地球紫外中心提取算法
Earth Ultraviolet Center Extraction Algorithm Based on Point Hough
紫外图像 Sobel算子 大津阈值分割 点Hough变换 中心提取 ultraviolet image Sobel operator Dajin threshold segmentation point Hough transform center extraction
摘要
紫外地球敏感器作为姿态测量装置具有广阔的应用前景,它与星敏感器配合可使航天器的指向精度和稳定度提高一个数量级。针对地球紫外中心指向高精度提取问题,提出了一种基于点Hough变换的紫外地平圆盘中心提取算法。首先,采用Sobel边缘算子、大津阈值分割、梯度锐化确定边缘快速提取算法,准确提取地球紫外临边特征。然后对临边边缘采用点Hough变换和除噪得到中心的精确位置。结果表明,该方法可实现高精度地球中心提取。
Abstract
As the attitude measuring device,ultraviolet earth sensor has a vast application prospect,cooperating with star sensor. The ultraviolet earth sensor can raise the pointing accuracy and stability of spacecraft. An earth center extraction algorithm based on the point Hough transform is proposed to accurately extract the earth ultraviolet center point. A fast edge detector combine Sobel edge operator with dajin threshold segmentation and gradient sharpening is proposed to extract earth ultraviolet edge features accurately.The earth center is obtained by using point Hough transform and denoising for the ring edge.The result shows that the proposed method provides high precision earth center.<收稿日期:>2016-09-13<收到修改稿日期:>2016-11-17
朱大风, 毛海岑, 张前程, 王亮. 基于点Hough的地球紫外中心提取算法[J]. 光学与光电技术, 2017, 15(1): 20. ZHU Da-feng, MAO Hai-cen, ZHANG Qian-cheng, WANG Liang. Earth Ultraviolet Center Extraction Algorithm Based on Point Hough[J]. OPTICS & OPTOELECTRONIC TECHNOLOGY, 2017, 15(1): 20.