基于潜在半径优化策略的数字图像抠图算法  

A Digital Image Matting Algorithm Based on the Optimization Strategy of Latent Radius

作　　者：赵海[1] 雷凯茹 朱宏博[1] 朴春鹤 

机构地区：[1]东北大学信息科学与工程学院,辽宁沈阳110819

出　　处：《东北大学学报（自然科学版）》2015年第11期1553-1557,共5页Journal of Northeastern University(Natural Science)

基　　金：国家自然科学基金资助项目(60973022)

摘　　要：针对目标图像利用导向滤波算法进行图像抠图时参数需要根据不同图像进行人为设定的问题,提出了一种利用隐藏的支持向量机LSVM(latent support vector machine)自动设定参数的潜在半径优化的数字图像抠图算法.该方法首先是应用LSVM潜在性的思想,利用已知数据库模板训练输入目标图像的样本集,再利用样本集将导向图像和二值图像以不同半径进行分块并进行判定,确定半径值,从而能够自动产生合理参数.最后利用导向滤波器对图像进行抠图,从而优化抠图算法,最终实现抠图算法的智能化和灵活化.Due to parameters is needed to be set depending on the issue of human goal-oriented to filter matting algorithms,a classifier was proposed based on component detection called LSVM（ latent support vector machine）. The parameters of guided radius could be automatically set so as to optimize algorithm. Firstly,for determining the radius,a potential idea of LSVMwas applied which using the known database templates to train the input samples of the target image,then the sample set of the guided image and the binary image were divided into blocks with different radius which could automatically generate the reasonable parameters and optimize algorithm. At last,guided filter was used to advance matting and the intelligent and flexible of the matting algorithm was achiered.

关 键 词：导向滤波器 图像抠图 LSVM 目标图像 训练样本集 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]