Remote Sensing Image Segmentation Based on and Cloud Model and Parallel Mechanism

摘要：

This paper discusses the uncertainty in remote sensing image segmentation by studying the uncertainty in cloud model, qualitative to quantitative conversion, proposed one way to study the image segmentation based on the combination of Parallel mechanism and cloud mode.Proved by experiments, this method can better describe the uncertainty of image target.It can quickly and accurately segment the target, the efficiency is far superior then the traditional image segmentation algorithms.

关键词： cloud model uncertainty parallel segmentation image segmentation

作者: LIU YANLI JIANG HUA XU GANG

作者单位: School of Computer and Control,Guilin University of Electronics Technology,Guilin,China School of Electronic Engineering and Automation,Guilin University of Electric Technology,Guilin,Chin

会议类型: 国际会议

会议名称: 2011 2nd International Conference on Material and Manufacturing Technology(2011第二届材料与制造技术国际会议 ICMMT2011)

会议地点: 厦门

会议语种:英文

页码: 710-713

在线出版日期: 2011-07-08（万方平台首次上网日期，不代表论文的发表时间）