首页 | 本学科首页   官方微博 | 高级检索  
     

侧扫声纳图像分割中种子区域获取方法
引用本文:卞红雨,罗明愿,刘立昕.侧扫声纳图像分割中种子区域获取方法[J].计算机工程与应用,2011,47(25):165-167.
作者姓名:卞红雨  罗明愿  刘立昕
作者单位:哈尔滨工程大学 水声技术国家级重点实验室,哈尔滨 150001
摘    要:研究了一种基于区域增长的侧扫声纳图像感兴趣区域提取方法。该方法利用边缘检测算子提取侧扫声纳图像的目标影阴区的种子区域,利用阈值分割方法提取目标亮区的种子区域,采用Haralick与Shapiro提出的相似准则进行区域增长,提取感兴趣区域。从处理结果看,该方法对某些类型的侧扫声纳图像的感兴趣区域提取有较好的效果,而且种子区域的引入大大缩短了处理时间。

关 键 词:区域标记  感兴趣区域  侧扫声纳图像分割  相似准则  种子区域  
修稿时间: 

Method for getting seed region of side-scan sonar image segmentation
BIAN Hongyu,LUO Mingyuan,LIU Lixin.Method for getting seed region of side-scan sonar image segmentation[J].Computer Engineering and Applications,2011,47(25):165-167.
Authors:BIAN Hongyu  LUO Mingyuan  LIU Lixin
Affiliation:National Laboratory of Underwater Acoustic Technology,Harbin Engineering University,Harbin 150001,China
Abstract:This paper presents a method for regions of interest extraction of side-scan sonar image based on region growing.Using edge detector,the seed regions of shadow region are obtained;and using threshold segmentation,the seed regions of high-light area are got.Adopting the Haralick similarity criterion,the regions of interest are extracted based on region growing.Results show that this method has a perfect performance for some types of side-scan sonar image.And the method is timesaving relative to Haralick regi...
Keywords:region labeling  regions of interest  side-scan sonar image segmentation  similarity criterion  seed region
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《计算机工程与应用》浏览原始摘要信息
点击此处可从《计算机工程与应用》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号