基于互信息相对熵差异的显著区域提取算法

The salient region extraction method based on relative entropy difference

在沿用Itti模型的中央周边操作的指导思想下,提出一种基于互信息相对熵局部直方图差异的视觉显著区域提取算法。该方法首先利用像素与像素之间对比度检测各个像素的差异值,然后分析局部区域内中心和周边的像素差异直方图分布,最后利用互信息相对熵寻找视觉显著区域。该方法省去了Itti模型的运算复杂度高的Gabor滤波器运算,算法简单,有效,且提取的显著性区域符合视觉主观特性。

Following Itti model's idea of the saliency extractiong using central-surround center-surrounding difference,a visual salient region extraction method based on relative entropy difference was proposed.First,the difference among all the image pixels was calculated;then,the central-surround region histogram difference was analyzed;finally,the visual salient region was extracted using the relative entropy theory.This method can be efficiently implemented because of avoiding the highly complex Gabor filter extraction of Itti model,and the extracted salient regions are the same with the human visual system.