背景灰度非均衡的舰船目标图像分割方法  

Image segmentation method for ship targets based on uneven gray background

作　　者：苏娜[1] SU Na(Inner Mongolia Technical College of Mechanics and Electrics,Huhhot 010070,China)

机构地区：[1]内蒙古机电职业技术学院,内蒙古呼和浩特010070

出　　处：《舰船科学技术》2020年第4期43-45,共3页Ship Science and Technology

基　　金：内蒙古机电职业技术学院2017年课题资助项目(NJDZJRWQN1719)

摘　　要：现阶段,IR成像系统在舰船目标检测中的应用备受关注。由于IR图像存在背景灰度非均衡的特征,从而使得常规的图像分割方法很难对舰船目标进行准确检测。为了有效解决这一问题,探寻一种能够对背景灰度非均衡的舰船目标图像进行有效分割的方法。本文从舰船目标图像分割的现状分析入手,对背景灰度非均衡的舰船目标图像分割方法进行论述,期望本文研究能够对舰船目标图像分割精度的进一步提升有所帮助。At this stage,the application of IR imaging systems in ship target detection has attracted much attention.Due to the imbalanced background gray level of IR images,it is difficult for conventional image segmentation methods to accurately detect ship targets.In order to effectively solve this problem,we should find a method that can effectively segment the ship’s target image with unbalanced grayscale background.Based on this,the article starts from the analysis of the status quo of ship target image segmentation,and discusses the method of ship target image segmentation with unbalanced background gray.It is hoped that the research in this paper can help to further improve the segmentation accuracy of ship target images.

关 键 词：舰船 目标 灰度 图像分割 

分 类 号：U665[交通运输工程—船舶及航道工程]