红外图像分割与目标提取方法研究  

Research on infrared image segmentation and target extraction technology

作　　者：张静[1] ZHANG Jing(School of Software and Big Data,Changzhou College of Information Technology,Changzhou 213164,Jiangsu,China)

机构地区：[1]常州信息职业技术学院软件与大数据学院,江苏常州213164

出　　处：《智能计算机与应用》2024年第7期241-245,共5页Intelligent Computer and Applications

基　　金：江苏省第六期“333高层次人才培养工程”项目((2022)3-18-169);首批国家级职业教育教师教学创新团队重点课题(ZD2020030101)。

摘　　要：近年来红外热像仪在军事和安防领域广泛使用,然而受环境因素的影响和红外热像仪器件本身制造工艺的限制,其成像的效果并不理想。本文主要研究了阈值分割、算子边缘检测、均值漂移聚类分割算法等几种图像分割方法,并采用MATLAB软件进行了仿真,通过对仿真结果的分析与对比,确定了对不同类型红外图像进行图像分割时选取分割算法的原则,给出了每类红外图像所适用的分割算法,并对视频图像中的目标进行了提取与跟踪。In recent years,infrared thermal imager is widely used in military and security fields.However,due to the influence of environmental factors and the limitation of the manufacturing process of infrared thermal imager,its imaging effect is not ideal.This paper mainly studies several image segmentation methods,such as threshold segmentation,operator edge detection,mean shift clustering segmentation algorithm,and uses MATLAB software for simulation.Through the analysis and comparison of simulation results,the principle of selecting segmentation algorithm for different types of infrared images is determined,and the applicable segmentation algorithm for each type of infrared images is given,the target in the video image is extracted and tracked.

关 键 词：阈值分割 边缘检测 聚类分割 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]