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静态图像中的感兴趣区域检测技术 被引量：32

A Survey of Detecting Regions of Interest in a Static Image
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摘要 感兴趣区域(ROI)检测将人类的视觉注意机制引入到图像分析过程中,对于提高现有图像分析系统的工作效率有着积极的作用。本文对当前静态图像中的ROI检测技术进行了评述。在分析了ROI检测的产生背景之后,首先介绍了人类的视觉注意机制,随之从自底向上和自顶向下两个方面详细讨论了当前较具代表性的ROI检测算法,然后列举了一些主要的ROI应用方向,最后对ROI检测技术的发展前景进行了展望。 The detection of regions of interest (ROI) introduces visual attention mechanism from the human vision to the image analysis. It is significant to improve the efficiency of the existing image analysis system. In this paper, the current technique for detecting ROI in a static image is surveyed. After the background of ROI detection is introduced, the mechanism of visual attention in human visual system is addressed firstly. And then the main algorithms of ROI detection are classified into two categories including bottom up method and top down method. Each of them is discussed in detail respectively. The primary applications of ROI are described afterward. At the end, several research trends of ROI detection are given.
作者 张鹏 王润生
机构地区 国防科学技术大学ATR国家重点实验室
出处 《中国图象图形学报（A辑）》 CSCD 北大核心 2005年第2期142-148,共7页 Journal of Image and Graphics
关键词 静态图像 感兴趣区域 自底向上 检测算法 自顶向下 ROI 图像分析系统 产生背景 image analysis, region of interest, visual attention, focus of attention
分类号 TB391.72 [一般工业技术—材料科学与工程] TN919.81 [电子电信—通信与信息系统]
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参考文献40

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二级参考文献13

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共引文献172

同被引文献253

引证文献32

二级引证文献103

中国图象图形学报（A辑）
2005年 第2期

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