Combining Color and Texture for a Robust Interactive Segmentation Algorithm
Combining Color and Texture for a Robust Interactive Segmentation Algorithm
复制标题
结合颜色和纹理实现稳健的交互式分割算法
DOI：
10.1109/rivf.2010.5633571
复制
发表时间：
2010
期刊：
影响因子：
--
通讯作者：
H. Le
中科院分区：
文献类型：
--
作者：
T. Tran;Dinh;H. Le
本文提出了一种利用颜色和纹理组合的图割来提取前景的新方法。传统的图割算法仅使用像素级的强度，对于物体被伪装或曝光不均匀的复杂情况来说，这种信息量是不够的。我们的方法还利用密集 SIFT 采样中的纹理来分割鲁棒的硬图像，然后图割算法融合颜色和纹理来构建图以进行优化；还将应用矢量量化来避免过拟合问题并提高性能。使用我们的方法在 Berkeley 和 ETHZ 数据集上对 Mircrosoft Grabcut 和硬案例进行的实验显示，分割结果与最先进的方法相当，并且在具有挑战性的图像中表现出色。
This paper presents a new method to extract foreground using Graph-cut on color and texture combination. Traditional graph-cut algorithm only used intensity at pixel level, this amount of information is insufficient for complex situations in which objects are camouflaged or in uneven exposure condition. Our method makes use of texture additionally from dense SIFT sampling to segment robustly hard images, Graph-cut algorithm then fuses color and texture to build graph for optimization; and vector quantization will be also applied to avoid over-fitting problem and improve performance. Experiments on Mircrosoft Grabcut and hard cases in Berkeley and ETHZ datasets using our method show comparable segmentation results against the state-of-the-art method, and outperform in challenging images.