首页 | 本学科首页   官方微博 | 高级检索  
     

基于微分不变量和区域增长法的深度图分割
引用本文:张梅,张祖勋. 基于微分不变量和区域增长法的深度图分割[J]. 计算机工程, 2008, 34(19): 15-17
作者姓名:张梅  张祖勋
作者单位:武汉大学遥感信息工程学院,武汉,430079;贵州财经学院信息学院,贵阳,550004;武汉大学遥感信息工程学院,武汉,430079
摘    要:用深度图(点云)直接对曲面物体进行识别,将会加大曲面物体的数学表示的难度。该文提出一种对深度图进行自动分割的方法,基于微分不变量进行初始分割,得到初始的核区域,用区域增长法进行曲面片增长,将深度图分割成多个区域。该算法原理简单、易于理解和编程。通过一个米老鼠头部深度图实例证明了该方法的有效性。

关 键 词:深度图像  微分不变量  区域增长  自动分割  物体识别
修稿时间: 

Segmentation for Range Image Based on Differential Invariant and Region Increase Method
ZHANG Mei,ZHANG Zu-xun. Segmentation for Range Image Based on Differential Invariant and Region Increase Method[J]. Computer Engineering, 2008, 34(19): 15-17
Authors:ZHANG Mei  ZHANG Zu-xun
Affiliation:(1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079; 2. Information Institute, Guizhou Financial Institute, Guiyang 550004)
Abstract:An actual surface object consisteds of many surface patches. If surface object is directly recognized with range image, it is more difficult to represent the surface object. This paper proposes a method for automatic region segmentation algorithm of range image. The first original segmentation is made by differential invariant, and the range image is divided into many regions with region increase method. The algorithm is simple, and it is easy to understand and program. An example with range image of Mickey...
Keywords:range image  differential invariant  region increase  automatic segmentation  object recognition
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》浏览原始摘要信息
点击此处可从《计算机工程》下载免费的PDF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