标题：Research on Gridding algorithm of Remote Sensing Image Segmentation by Region Growth
作者：Zhu, Hongchun; Liu, Haiying; Jiang, Tao
通讯作者：Zhu, Hong Chun
作者机构：[Zhu, Hongchun; Liu, Haiying; Jiang, Tao] Shandong Univ Sci & Technol, Geomat Coll, Qingdao 266590, Peoples R China.
会议名称：3rd International Conference on Advanced Engineering Materials and Architecture Science (ICAEMAS)
会议日期：JUL 26-27, 2014
来源：MATERIAL SCIENCE, CIVIL ENGINEERING AND ARCHITECTURE SCIENCE, MECHANICAL ENGINEERING AND MANUFACTURING TECHNOLOGY II
关键词：region growth; image segmentation; gridding; parallelism; algorithm
摘要：Region growth is an important method based on regional information, and its gridding process also is an important problem. This research is satisfied with the needs of the remote sensing massive data real time and fast transmission and processing, and developed of the theory and methods research of remote sensing processing based on grid operation. This paper starts with basic principle and mathematical models of region growth. Then some new serial region growth algorithms proposed in recent years are classified and analyzed, based on which their related gridding strategies are emphatically discussed. Then this research analyze and put forward the algorithm, which should be feasible when designing gridding parallel segmentation, and give an evaluation of the parallel regional segment algorithm. Finally, the problems and challenges of future research were pointed out.