光学与光电技术, 2013, 11 (1): 91, 网络出版: 2013-03-05
基于形态学处理和最小二乘法的海天线检测算法
Detection Technique for the Sea-Sky-line Based on Morphological Processing and Least Square Method
红外图像 海天线提取 图像特征 形态学处理 最小二乘法 infrared image sea-sky-line detection image feature morphological processing least square method
摘要
海天线的检测和提取是舰船红外图像处理中的一个重要内容,在综合分析比较基于边缘检测、图像分割以及小波变换多尺度分析等多种海天线检测算法优缺点的基础上,提出一种基于形态学处理和最小二乘法的算法,仿真分析表明此算法能适应含有各种干扰的海面背景环境,鲁棒性好,并且提取精度高,能精确定位海天线。
Abstract
The Sea-Sky-line detection is an important component involved in the warship image processing. This paper introduces some existing algorithms based on linear-fit, the Canny operator, the image-division and multi-scale analysis of wavelet, which are used widely at home and abroad. The paper also analyzes the advantages and disadvantages of these algorithms. The paper comes up with an improved algorithm based on morphological processing, which keeps the both advantages of high accuracy and good rebustness.
夏平, 郑佳, 李忠. 基于形态学处理和最小二乘法的海天线检测算法[J]. 光学与光电技术, 2013, 11(1): 91. XIA Ping, ZHENG Jia, LI Zhong. Detection Technique for the Sea-Sky-line Based on Morphological Processing and Least Square Method[J]. OPTICS & OPTOELECTRONIC TECHNOLOGY, 2013, 11(1): 91.