红外与激光工程
紅外與激光工程
홍외여격광공정
INFRARED AND LASER ENGINEERING
2014年
1期
48-52
,共5页
要害点检测%精确制导%红外图像%舰船目标%吃水线
要害點檢測%精確製導%紅外圖像%艦船目標%喫水線
요해점검측%정학제도%홍외도상%함선목표%흘수선
target aimpoint detection%precision guiding%infared image%warship target%waterline
针对红外成像与跟踪系统中舰船目标自动识别转跟踪后的跟踪点自动选取问题，提出了一种新的舰船目标要害点自动检测算法。基于舰船吃水线位于船体位置下方的几何关系以及动力舱的高亮度特征，检测吃水线和动力舱的交叉部位作为首要攻击点，将吃水线中部作为次要攻击点。首先对目标区域进行去噪预处理，通过Canny边缘提取、边缘闭合、两次连通域去噪等操作滤除背景纹理杂波确定目标的边缘，然后对目标底部边缘进行分段直线拟合，将拟合结果作为吃水线，最后利用灰度值统计确定最亮区域为求取的动力舱位置。实验结果统计表明，该方法检测结果稳定，具有良好的鲁棒性，适用于不同观测方向下的红外舰船目标的要害点检测，为跟踪点的自动选取提供了有效解决方案。
針對紅外成像與跟蹤繫統中艦船目標自動識彆轉跟蹤後的跟蹤點自動選取問題，提齣瞭一種新的艦船目標要害點自動檢測算法。基于艦船喫水線位于船體位置下方的幾何關繫以及動力艙的高亮度特徵，檢測喫水線和動力艙的交扠部位作為首要攻擊點，將喫水線中部作為次要攻擊點。首先對目標區域進行去譟預處理，通過Canny邊緣提取、邊緣閉閤、兩次連通域去譟等操作濾除揹景紋理雜波確定目標的邊緣，然後對目標底部邊緣進行分段直線擬閤，將擬閤結果作為喫水線，最後利用灰度值統計確定最亮區域為求取的動力艙位置。實驗結果統計錶明，該方法檢測結果穩定，具有良好的魯棒性，適用于不同觀測方嚮下的紅外艦船目標的要害點檢測，為跟蹤點的自動選取提供瞭有效解決方案。
침대홍외성상여근종계통중함선목표자동식별전근종후적근종점자동선취문제，제출료일충신적함선목표요해점자동검측산법。기우함선흘수선위우선체위치하방적궤하관계이급동력창적고량도특정，검측흘수선화동력창적교차부위작위수요공격점，장흘수선중부작위차요공격점。수선대목표구역진행거조예처리，통과Canny변연제취、변연폐합、량차련통역거조등조작려제배경문리잡파학정목표적변연，연후대목표저부변연진행분단직선의합，장의합결과작위흘수선，최후이용회도치통계학정최량구역위구취적동력창위치。실험결과통계표명，해방법검측결과은정，구유량호적로봉성，괄용우불동관측방향하적홍외함선목표적요해점검측，위근종점적자동선취제공료유효해결방안。
In order to solve the problem of automatic selection of tracking point in target tracking after automatic target recognition of IR warship targets in the infrared imaging and tracking systems, a new automatic detection algorithm of ship aimpoint was proposed. Based on the waterline′s geometrical relationship below the warship and the high brightness characteristics of engine compartment, the cross part of the waterline and engine compartment was detected. This cross part was taken as the primary aimpoint of IR warship target. Otherwise, the central part of the waterline would be taken as the aim point of IR warship target. First of all, the de-noising pretreatment of target area was used, through the Canny egde-detection, edge closed and two connected domain de-noising operations, the background texture clutter was removed to determine the edge of target. Then, piecewise linear fitting on the target bottom edge was used and the curve fitting results would be taken as the waterline. Finally, the gray value statistics was calculated to get the brightest area as the position of engine compartment. The experimental results show that this method has stability testing results and good robustness. It can be applied to detect the aim point of IR warship target in different viewing directions. The algorithm provides an effective solution for the problem of automatic selection of tracking point in target tracking.
