摘要
提出一种采用图像目标特征识别法跟踪太阳的方法,对图像进行仿人眼光学滤色镜效果的(H,S,I)变换域处理,凸现图像中高亮度区域;其次对高亮度区域进行鱼眼图像与平面图像的变换;然后根据各区域的轮廓、偏移量、面积等特征动态地识别出图像中的太阳斑区;最后通过鱼眼图像中太阳斑区中心点计算出太阳与视点之间的高度角与方位角.实验结果证明,该方法不仅能准确地实现太阳方位的跟踪,而且在物体遮挡、图像失真等情况下定位依然有效.
A solar tracking approach based on fish-eye images is proposed. At first, by processing the （H, I, S） components, the high light areas are enhanced. Then by rectifying the fish-eye images into the perspective ones, the sun areas are recognized according to the contour, offset and magnitude of transformed areas; At last, the azimuth angle and the elevation angle are derived from the sun area barycentre. Experimental results show that our proposed approach can not only locate the solar orientation accurately in ordinary environment, but it is also workable under occlusion and image distortion.
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2008年第3期356-360,共5页
Journal of Computer-Aided Design & Computer Graphics
关键词
变换域
鱼眼图像
太阳定位
高度角
方位角
transform domain
fish-eye image
sun position
elevation angle
azimuth angle
