摘要
由于传统的模板相关匹配算法在目标图像发生较大旋转和放大时,定位结果可能会发生偏差,因此为了取得精度更高的目标识别结果,提出了一种基于对数极坐标变换粗匹配,结合仿射变换精匹配的目标图像识别定位方法,以用于在视场中自动搜索相对于模板图像有平移、旋转和尺度变化的目标图像。实验结果表明,该算法不仅定位精度高,而且相对于传统的模板匹配算法有更强的鲁棒性。
The traditional correlation matching method has poor performance with large biases in the presence of the object＇ s large scale change and rotation angles. So ,in order to get more high precisely locating result, proposed a robust object locating method based on log-polar transform and affine transform which can locate the object misaligned by scale and rotation changes to the template. Experimental results showed that the algorithm not only causes high precisely locating result ,but also more robust relative to the traditional correlation matching method.
出处
《中国图象图形学报》
CSCD
北大核心
2006年第9期1255-1259,共5页
Journal of Image and Graphics
基金
武器与预研基金项目(51476010301JW0501)
关键词
对数极坐标变换
仿射变换
相关匹配
log-polar transform, affine transform, correlation matching
