| 多目标显著性区域提取算法 |
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| 引用本文： | 孟琭,陈妹雅. 多目标显著性区域提取算法[J]. 东北大学学报(自然科学版), 2018, 39(10): 1380-1384. DOI: 10.12068/j.issn.1005-3026.2018.10.003 |
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| 作者姓名： | 孟琭 陈妹雅 |
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| 作者单位： | (东北大学 信息科学与工程学院， 辽宁 沈阳110819) |
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| 基金项目： | 国家自然科学基金资助项目(61101057).国家自然科学基金资助项目(51171041). |
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| 摘 要： | 结合对象估计和超像素分割，提出面向多目标的显著性区域提取算法.首先，应用对象估计对图像中的多目标作初步检测，得到若干个显著性区域的初步结果;然后，再将这些显著性区域与超像素分割的结果作图像拼接，完善这些显著性区域;最后，将图像拼接的结果二值化，作为多目标显著性区域提取的最终结果.结果表明:所提算法可实现面向多目标的显著性区域提取.与3个经典算法的比较结果表明:所提算法在面向多目标显著性区域提取时更优.
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| 关 键 词： | 多目标 显著性区域 对象估计 超像素分割 图像处理 |
Salient Region Extraction Algorithm for Multi-target |
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| MENG Lu,CHEN Mei-ya. Salient Region Extraction Algorithm for Multi-target[J]. Journal of Northeastern University(Natural Science), 2018, 39(10): 1380-1384. DOI: 10.12068/j.issn.1005-3026.2018.10.003 |
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| Authors: | MENG Lu CHEN Mei-ya |
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| Affiliation: | School of Information Science & Engineering， Northeastern University， Shenyang 110819， China. |
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| Abstract: | Combining object estimation and super-pixel segmentation， a salient region extraction algorithm for multi-target was proposed. First， object estimation was used to make a preliminary extraction of multi-target in image， and the preliminary results of several salient regions were obtained. Then， these several salient regions were concatenated with the results of super-pixel segmentation to complete the saliency extraction. Finally， the concatenated regions were binarized as the final results of salient region for multi-target. The results showed that the proposed algorithm can achieve multi-target salient region extraction. The comparison with three classical algorithms indicated that the proposed algorithm is better when it is faced with salient region extraction for multi-target. |
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| Keywords: | multi-target salient region object estimation super-pixel segmentation image processing |
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