CAJ | 학술논문

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。
침대목표도상이용도향려파산법진행도상구도시삼수수요근거불동도상진행인위설정적문제，제출료일충이용은장적지지향량궤 LSVM(latent support vector machine)자동설정삼수적잠재반경우화적수자도상구도산법。해방법수선시응용 LSVM 잠재성적사상，이용이지수거고모판훈련수입목표도상적양본집，재이용양본집장도향도상화이치도상이불동반경진행분괴병진행판정，학정반경치，종이능구자동산생합리삼수。최후이용도향려파기대도상진행구도，종이우화구도산법，최종실현구도산법적지능화화령활화。
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 LSVM Was 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.