摘要
针对特定目标提出一种新的基于子图像块的目标提取方法。先对图像分块,再对分块后的特征图重新构建特征量并进行阈值分割,从而实现粗检,辅以知识确定目标的大概区域,最后借助边缘特性提取出精确目标。试验结果表明,该方法计算量较小、便于硬件实现,对于复杂自然背景中对比度低及不均匀光照条件下的一定形状尺寸的目标提取获得满意效果。
A target extraction method based on sub-block features is presented to detect certain target. The new feature vector is constructed through computing sub-block features. The feature′s threshold is decided based on Ostu principle to complete the object′s coarse detection. The accurate targe location is obtained by edge detection in this object region finally. The experimental result shows that this method is good at extracting targets with some certain shape and size from complex natural scenes under low contrast and varied illumination conditions. It′s low counting cost and easy for hardware realization.
出处
《红外与激光工程》
EI
CSCD
北大核心
2004年第6期597-599,614,共4页
Infrared and Laser Engineering
基金
国家创新基金资助项目(CX02 04 02)
