CAJ | 학술논문

该文提出了一种利用引导滤波优化二值马尔科夫随机场图像分割结果的前景提取新方法。首先通过二值马尔科夫随机场图像分割模型将原图映射为加权图模型，然后利用最大流/最小割算法对该加权图模型进行最优分割，并通过二值化得到前景区域的初始分割结果；之后通过图像引导滤波对该初始结果进行优化处理，保证所提取的前景区域具有精确的边缘信息。实验结果表明该方法能从图像背景中精确的提取出前景区域，并且对光照、噪声均具有较强的鲁棒性。
해문제출료일충이용인도려파우화이치마이과부수궤장도상분할결과적전경제취신방법。수선통과이치마이과부수궤장도상분할모형장원도영사위가권도모형，연후이용최대류/최소할산법대해가권도모형진행최우분할，병통과이치화득도전경구역적초시분할결과；지후통과도상인도려파대해초시결과진행우화처리，보증소제취적전경구역구유정학적변연신식。실험결과표명해방법능종도상배경중정학적제취출전경구역，병차대광조、조성균구유교강적로봉성。
This paper proposes a new method that using guided image filter in binary Markov random field ( MRF) image segmentation result for image foreground extraction .First, we build image graph model of origi-nal image using MRF model , and then use max-flow/min-cut algorithm to separate the foreground and back-ground area to get a binary segmentation result which only have 0 and 1, that get the initial foreground area;and then use original image to estimate precise alpha image to guarantee accurate edge of object region based on guided image filter .Experimental results show that the method can extract a clear foreground of background image, and with strong robustness of light , noise and a slight camera shake .