摘要
提出了一种新型的用于目标图像识别与跟踪的自适应阈值分割方法,并对其进行改进,同时给出了它与其他两种阈值分割方法的比较实验,定性和定量分析结果证实了该方法在精度和速度方面都具有明显的优势。最后给出了在噪声干扰和复杂背景的情况下的实验,说明该方法具有较强的适应性。
A new adaptive threshold image segmentation method applied to target recognition and tracking was proposed and improved. Experiments were made for comparing it with two other threshold segmentation approaches. Quantitative and qualitative analysis result in the experiment proved that the method is apparently superior to the others for it can segment the target from background precisely and quickly. Finally, an experiment was carried out on the image with noise disturbance and under complex background, the result showed that this method have preferable adaptability.
出处
《电光与控制》
北大核心
2009年第5期27-29,38,共4页
Electronics Optics & Control
基金
火力控制技术国防科技重点实验室资助
航空支持基金资助(05C52007)
