摘要
针对Knockout算法中颜色估计模型只适用于光滑图像的问题,提出一种新的颜色估计模型。采用区域生长法将未知区域划分为若干个子区域,以距离每一个子区域最近的前景和背景轮廓线上的点为中心做矩形块,分别计算2个矩形块内前景和背景像素点的颜色加权平均值,将其作为该子区域的前景和背景颜色分量。实验结果表明,改进后的颜色估计模型在图像边缘附近颜色相差较大的自然景物提取中有较好表现。
Aiming at the problem which is appeared in Knockout algorithm that the color estimate model is only applied to smooth image, a new color estimate model is proposed. The unknown region is divided into many subregions by region growth algorithm, rectangular block is made out based on the point which is nearest to the subregion in the foreground and background contour line. The weighted average values of foreground and background pixels color in rectangular block are computed respectively. The values are taken as the foreground and background color components. The improved color estimate model has better behavior in the natural image matting for the image which the edge color is very different.
出处
《计算机工程》
CAS
CSCD
北大核心
2009年第14期212-214,共3页
Computer Engineering
基金
国家"863"计划基金资助项目(2006AA04Z212)
关键词
蓝屏景物提取
自然景物提取
透明度(α值)
前景
背景
blue screen image matting
natural image matting
transparency(a value)
foreground
background