A simple method for detecting salient regions
A simple method for detecting salient regions
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DOI：
10.1016/j.patcog.2009.04.021
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发表时间：
2009-11-01
影响因子：
8
通讯作者：
Rosin, Paul L.
中科院分区：
文献类型：
--
作者：
Rosin, Paul L.
提出了一种简单的图像显著区域检测方法。它只需要边缘检测，阈值分解，距离变换，和阈值。此外，它避免了设置任何参数值的需要。实验结果表明，得到的区域相对粗糙，但总体上该方法是令人惊讶的有效，并具有易于实现的好处。定量测试进行了刘等。的5000张图片的数据集。虽然我们的简单方法的评级不如他们的方法，涉及广泛的培训阶段，他们是从文献中的其他几个流行的方法相媲美。对Kootstra和Schomaker的99张图像数据集的进一步测试也显示了有希望的结果。(C)2009爱思唯尔有限公司版权所有。
A simple method for detecting salient regions in images is proposed. It requires only edge detection, threshold decomposition, the distance transform, and thresholding. Moreover, it avoids the need for setting any parameter values. Experiments show that the resulting regions are relatively coarse, but overall the method is surprisingly effective, and has the benefit of easy implementation. Quantitative tests were carried out on Liu et al.'s dataset of 5000 images. Although the ratings of our simple method were not as good as their approach which involved an extensive training stage, they were comparable to several other popular methods from the literature. Further tests on Kootstra and Schomaker's dataset of 99 images also showed promising results. (C) 2009 Elsevier Ltd. All rights reserved.