Frequency-tuned salient region detection
Frequency-tuned salient region detection
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DOI：
10.1109/cvpr.2009.5206596
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发表时间：
2009-06
期刊：
影响因子：
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通讯作者：
R. Achanta;S. Hemami;F. Estrada;S. Süsstrunk
中科院分区：
文献类型：
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作者：
R. Achanta;S. Hemami;F. Estrada;S. Süsstrunk
视觉上显著的图像区域的检测对于诸如对象分割、自适应压缩和对象识别的应用是有用的。在本文中，我们介绍了一种显着区域检测的方法，输出全分辨率的显着性地图与明确界定的边界的显着对象。这些边界通过保留比其他现有技术更多的来自原始图像的频率内容来保留。我们的方法利用颜色和亮度的特点，是简单的实现，是计算效率。我们比较我们的算法与五个国家的最先进的显着区域检测方法的频域分析，地面真理，和显着的对象分割应用程序。我们的方法优于五种算法，无论是在地面实况评估和分割任务，实现更高的精度和更好的召回。
Detection of visually salient image regions is useful for applications like object segmentation, adaptive compression, and object recognition. In this paper, we introduce a method for salient region detection that outputs full resolution saliency maps with well-defined boundaries of salient objects. These boundaries are preserved by retaining substantially more frequency content from the original image than other existing techniques. Our method exploits features of color and luminance, is simple to implement, and is computationally efficient. We compare our algorithm to five state-of-the-art salient region detection methods with a frequency domain analysis, ground truth, and a salient object segmentation application. Our method outperforms the five algorithms both on the ground-truth evaluation and on the segmentation task by achieving both higher precision and better recall.