摘要
为免除抠像过程中的人工参与步骤,提出一种基于显著度的非监督抠像方法。提取输入图像的显著度图,利用块融合与块过滤方法,获得抠像的参考信息,将图像划分为多个层次进行多分辨率抠像,从图像背景中抠取出前景物体。实验结果证明,该抠像方法在计算速度和抠像效果上均优于非监督的光谱抠像方法。
To avoid human supervising in the image matting process,this paper proposes an unsupervised image matting approach based on saliency.A saliency map is extracted from an image,and more accurate information is extracted from the map by block merging and filtering methods.The image is divided into multiple levels for multi-resolution matting and then the foreground object is matted out on the basis of the processed saliency information.Experimental results show that the approach is better than the unsupervised spectral matting method in both computing speed and matting effect.
出处
《计算机工程》
CAS
CSCD
2012年第5期218-220,共3页
Computer Engineering
基金
国家自然科学基金资助重点项目(61033012)
关键词
非监督
抠像
显著度
块过滤
块融合
unsupervised
image matting
saliency
block filtering
block merging
