基于极差和Bilateral滤波的水面舰船图像角点检测算法  

A Feature Point Detection Algorithm for Warship Image with Range and Bilateral Filter Method

作　　者：王培元 Wang Peiyuan(Naval Aviation University,Yantai City,Shandong Province 264001)

机构地区：[1]海军航空大学,山东烟台264001

出　　处：《黄河科技学院学报》2023年第8期70-73,共4页Journal of Huanghe S&T College

摘　　要：对经典Harris角点检测算法,结合极差方法,基于不同滤波器替换的思路,构建了一种新的角点检测算法。在分析Gausse滤波器、Bilateral滤波器、B样条滤波器为Harris算法带来不同检测效能的基础上,给出了一种最优的检测滤波器配置方案。对标准测试图像的仿真和对实际海面舰船图像的测试验证,表明所提出的算法可较好地抑制冗余角点,提升水面舰船目标的检测效率。A new corner point detection algorithm is constructed for the classical Harris corner point detection algorithm,combined with the polar difference method and based on the idea of different filter replacements.Based on the analysis of different detection efficiency of Gausse filter,Bilateral filter and B-spline filter for Harris algorithm,an optimal detection filter configuration scheme is given.The simulation of the standard test image and the test of the actual warship image show that the proposed algorithm can effectively suppress redundant corners and improve the detection efficiency of the surface ship target.

关 键 词：角点检测 HARRIS算法 Gausse滤波器 Bilateral滤波器 B样条滤波器 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]