Image and video clipping by weighted histogram intersection minimization

K. Inoue, K. Hara, K. Urahama
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引用次数: 1

Abstract

We propose a method for clipping a rectangular region from an image by minimizing a weighted intersection of two color histograms which are constructed with pixels included in the inside and the outside of the rectangular region. Furthermore, we extend the clipping method for images to that for videos. Experimental results show that the proposed method can clip the regions of objects from images and remove the regions of backgrounds.
图像和视频的加权直方图交集最小化裁剪
我们提出了一种从图像中裁剪矩形区域的方法,该方法通过最小化两个颜色直方图的加权相交,这两个直方图由矩形区域的内部和外部包含的像素组成。此外,我们将图像的裁剪方法扩展到视频的裁剪方法。实验结果表明,该方法可以有效地从图像中截取目标区域,去除背景区域。
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