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基于频域与空间域分析的显著区域检测算法 被引量：2

Salient Region Detection Algorithm Based on Frequency and Spatial Domain Analysis
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摘要 显著区域检测对于多种计算机视觉应用有所帮助,如图像分割、目标识别、图像检索及自适应压缩。为此,提出一个基于频域与空间域分析的显著区域检测算法。通过拥有不同尺寸窗口的中值滤波器对不显著的区域进行抑制,根据空间信息选择最佳的显著图。与5个经典算法的比较实验结果表明,利用该算法得到的显著图既去除了背景,又突出了整个显著物体。 Detection of salient region is useful for many computer vision applications, such as image segmentation, object recognition, image retrieval, adaptive compression and so on. This paper proposes a new salient region detection algorithm based on frequency and spatial domain analysis. It suppresses the non-salient regions by different window sizes, selectes the best saliency map by spatial information. The final saliency map removes background and highlights the entire salient object. Experimental results show that the proposed algorithm outperforms the 5 typical methods.
作者 王岩 卢宏涛 邓南 蔡能斌
机构地区 上海交通大学计算机科学与工程系 上海市公安局物证鉴定中心上海市现场物证重点实验室
出处 《计算机工程》 CAS CSCD 2012年第17期166-170,共5页 Computer Engineering
基金 国家自然科学基金资助项目(60873133) 上海科学技术委员会基金资助项目(08JG05002)
关键词 显著区域 频域 空间域 视觉注意 显著图 中值滤波器 salient region frequency domain spatial domain visual attention salient map median filter
分类号 TP312 [自动化与计算机技术—计算机软件与理论]
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参考文献15

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二级参考文献11

共引文献1

同被引文献32

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计算机工程
2012年 第17期

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