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Investigation of methods to search for the boundaries on the image and their use on lung hardware of methods finding saliency map

机译:寻找图像边界的方法及其对方法显着图的肺硬件的研究

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This work aimed to study computationally simple method of saliency map calculation. Research in this field received increasing interest for the use of complex techniques in portable devices. A saliency map allows increasing the speed of many subsequent algorithms and reducing the computational complexity. The proposed method of saliency map detection based on both image and frequency space analysis. Several examples of test image from the Kodak dataset with different detalisation considered in this paper demonstrate the effectiveness of the proposed approach. We present experiments which show that the proposed method providing better results than the framework Salience Toolbox in terms of accuracy and speed.
机译:这项工作旨在研究计算简单的显着性图计算方法。该领域的研究得到了在便携式设备中使用复杂技术的越来越关注。显着性图允许增加许多后续算法的速度并降低计算复杂度。基于两种图像和频率空间分析的显着图检测方法。本文考虑了来自柯达数据集的柯达数据集的测试图像的几个例子证明了所提出的方法的有效性。我们提出了实验,表明该方法在准确性和速度方面提供比框架Parience工具箱更好的结果。

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