Study on Aiming Point Choosing Algorithm for IR Imaging Air-to-air Missile

摘要：

We have presented a new aiming point choosing algorithm for IR imaging air-to-air missiles. First, we get the targets plume segmented by extending the threshold algorithm based on histogram Iteration to a dual threshold algorithm. Spare pixel vectorization used here is able to find the plume axis, and then get the airframes medial axis. Finally, according to the experiential proportion between the head and airframe, we can catch the head, one of the targets vitals. Tests show that the algorithm presented here is able to find the accurate position of the targets head and the thresholds for two binarizations needs no manual work, and the rate of aiming point choosing and tracking is fast.

关键词： aiming point choosing sparse pizel vectorization(SPV) medial azis transform(MAT) dual threshold segmentation

作者: HUANG Zhili ZHENG Zhiwei HUANG Gonliang

作者单位: Luoyang Opto-Electro Technology Development Center, China, 471009 Chinese PLAs Military Representatives Office of 3531 factory,Gui yang,550009

会议类型: 国际会议

会议名称: 第八届国际测试技术研讨会(8th International Symposium on Test and Measurement)

会议地点: 重庆

会议语种:英文

页码: 914-917

在线出版日期: 2009-08-01（万方平台首次上网日期，不代表论文的发表时间）