基于脱靶量信息的目标实时精确分割

Real-time Accurate Segmentation Based on Miss Distance of Target

针对目标实时精确分割是制约红外辐射特性测量系统实时处理的主要因素,提出基于脱靶量信息的目标实时精确分割方法。首先分析了测量目标的特点和常用图像分割算法,选用适合目标特点且分割效果好的一维最小误差法(OME)和二维最小误差法(TME)作为主要研究对象;然后在分析OME和TME算法实时性瓶颈的基础上,提出利用脱靶量信息进行灰阶降级和缩小处理区域,实现目标实时精确分割。仿真结果表明,该方法帧处理时间低于10 ms,满足红外辐射特性测量实时处理的要求。

For real-time accurate target segmentation is a major factor restricting infrared radiation characteristic measuring real-time processing system, a real-time accurate segmentation method is proposed based on miss distance of target. Firstly, this article analyzes the characteristics of the target and common image segmentation algorithms. Then, choose One-dimensional Minimum Error method （OME） and Two-dimensional Minimum Error method （TME） as the main study object for their suitable target characteristics and good segmentation results. Finally, propose using the miss distance to reduce gray level and processing area after analyzing the bottleneck of OME and TME, realized real-time accurate segmentation. Simulation results show that a frame processing time is less than 10 ms, which can meet the requirements of the infrared radiation characteristic measuring real-time processing