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Extraction method for image region of interest based on visual attention model

机译:基于视觉注意模型的利益图像区域的提取方法

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By means of the characteristics of the human visual system, this paper proposed a kind of extraction method for image region of interest (ROI) based on united global and local contrast. The significant calculation of the global contrast is executed through the optimized histogram contrast detection method. The significant calculation of the local contrast is executed through the local filtering by multiscale spatial Gaussian differential filter. Finally, the significant values are synthesized according to the basic requirements of the ROI. The experimental results show that our method gets a certain upgrade in extraction accuracy and operating efficiency for the ROI.
机译:通过人类视觉系统的特点,本文提出了一种基于团结的全球和局部对比的感兴趣地区(ROI)的提取方法。通过优化的直方图对比度检测方法执行全局对比度的显着计算。通过多尺度空间高斯差分滤波器通过本地滤波执行本地对比度的显着计算。最后,根据投资回报率的基本要求合成显着的值。实验结果表明,我们的方法为投资回报率的提取精度和运行效率得到了一定的升级。

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