摘要
针对复杂海空背景图像中的海天线检测问题,提出了一种基于相位编组和灰度统计的新方法。首先,在边缘图像的基础上运用相位编组算法,得到大量的直线段。然后,根据直线段的图像倾角和到图像原点的距离两个参数对这些直线段进行分类,并选取直线段长度总和最大的若干个类,用这些类中的所有边缘点进行直线拟合,得到若干条候选海天线。最后,通过比较对应于相同水平坐标且以候选海天线上的点为中心的区域的灰度统计值,确定出正确的海天线。大量的实验结果证明,该方法能有效地检测出复杂海空背景下的海天线,具有较强的鲁棒性。
Aimed at the problem of sea-sky-line detection in complicated sea-sky background image, a novel method, based on phase grouping and gray statistics, was presented. Firstly, a lot of line segments were obtained by using phase grouping method on edge image. Secondly, the line segments were classified according to two parameters, the slope angle and the distance to image origin. Several classes which have the largest sum of length of the line segments were selected, and edge points in each selected class were used to fit a straight line, thus several candidate sea-sky-lines could be gained. Finally, the correct sea-sky- line could be elected through comparing statistical gray values of the regions which correspond to the same horizontal pixel coordinates and take the points on the candidate sea-sky-lines as center points. Many experimental results show that the proposed method can detect the sea-sky-line under complicated sea-sky background effectively and has strong robustness.
出处
《国防科技大学学报》
EI
CAS
CSCD
北大核心
2011年第6期111-115,共5页
Journal of National University of Defense Technology
基金
国家自然科学基金资助项目(60904084)
关键词
海天线检测
相位编组
灰度统计
鲁棒性
sea-sky-line detection
phase grouping
gray statistics
robustness
