| 基于小波和生物视觉机制的感兴趣区域提取方法 |
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| 引用本文： | 薛海斌,何东健.基于小波和生物视觉机制的感兴趣区域提取方法[J].杨凌职业技术学院学报,2011,10(1):13-15. |
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| 作者姓名： | 薛海斌 何东健 |
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| 作者单位： | 1. 西北农林科技大学,陕西,杨凌,712100;杨凌职业技术学院,陕西,杨凌,712100
2. 西北农林科技大学,陕西,杨凌,712100 |
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| 摘 要： | 提出一种基于小波并结合生物视觉机制的感兴趣区域提取算法,首先使用小波构建亮度、颜色和方向等3个特征的小波金字塔,然后使用中央—周边算法得到每个特征的关注图,对关注图进行迭代运算以进一步抑制不显著区域。对迭代处理后的显著图进行线性组合得到最终的显著图;使用WTA网络和返回抑制机制提取显著点,以显著点为中心进行区域生长得到最终的显著区域。实验证明,本方法在提取效果上较原方法提高了4.2%和效率上较原方法提高了28.75%,总体上较原方法有了明显改善。
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| 关 键 词： | 图像检索 小波 感兴趣区域 显著图 |
Extracting Regions of Interest Based on Wavelet and Biological Vision Mechanism |
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| XUE Hai-bin,HE Dong-jian.Extracting Regions of Interest Based on Wavelet and Biological Vision Mechanism[J].Journal of Yangling Vocational & Technical College,2011,10(1):13-15. |
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| Authors: | XUE Hai-bin HE Dong-jian |
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| Institution: | XUE Hai-bin1,2,HE Dong-jian1(1.Northwest Sci-tech University of A& F,Yangling,Shaanxi 712100,China,2.Yangling Vocational and Technical College,China) |
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| Abstract: | An extraction algorithm was presented based on wavelet and biological vision mechanism.First,we used wavelet to construct a wavelet pyramid with characteristics of brightness,colour and direction,then employed centeral-circumjacent algorithm to obtain attention map of each characteristic,and carried out iterative algorithm to restrain non-salient regions.Finally,we linearly combined the attention maps to get final attention map and used WTA network and inhibitory mechanism of return to extract salient point... |
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| Keywords: | image retrieval wavelet region of interest saliency map |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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