微目标遥感图像的感兴趣区域提取新方法  

Extraction of ROI for Small Object Based on Visual Attention Mechanisms toward Applica- tions on Remote Sense Image Processing

作　　者：李晓飞[1] 马大玮[1] 胡焰智[1] 范小麟[1] 

机构地区：[1]重庆通信学院,重庆400035

出　　处：《微计算机信息》2008年第10期290-292,共3页Control & Automation

基　　金：重庆市自然科学基金资助项目(CSTC2005BB2206)

摘　　要：结合微目标遥感图像的灰度、轮廓、大小等信息特征,提出了一种基于视觉注意的微目标遥感图像感兴趣区域提取方法,首先采用形态学Top-Hat变换强化感兴趣区域和抑制背景,利用开运算实现去除噪声和虚假微目标;然后通过阈值迭代法初步分割出感兴趣区域;最后通过人工交互,结合形态学方法进行感兴趣区域提取,进而运用基于小波变换的多尺度边缘检测算法探测出感兴趣区域的边界。实验结果表明:该方法能快速有效地分割提取出微目标感兴趣区域。Combined with the specialty of remote sense image such as gray, profile, size and so on, a new ROI (Region of Interest) extract method for small object is presented, which is based on visual attention mechanisms toward applications on remote sense im- age processing. First by Top- Hat transform of mathematical morphology, ROI is intensified, and the background of original image is suppressed. After that, the noise and illusive small objects are removed by open processing. Then ROI is partitioned by setting ...

关 键 词：感兴趣区域 视觉注意 遥感图像 数学形态学 小波变换 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]