深度图像的分层图割算法研究.pdf

Computer Engineering and Applications 计算机工程与应用 2014,50(22) 183
深度图像的分层图割算法研究
俞江明,赵杰煜,汪国锋
YU Jiangming, ZHAO Jieyu, WANG Guofeng
,浙江宁波 315211
,杭州 310000
Institute of Information Science and Technology, Ningbo University, Ningbo, Zhejiang 315211, China
Provincial Welfare Lottery Center, Hangzhou 310000, China
YU Jiangming, ZHAO Jieyu, WANG Guofeng. Depth image segmentation using layered graph cuts. Computer En-
gineering and Applications, 2014, 50(22):183-188.
Abstract:Based on the iterative graph cut method, this paper uses image pyramid to accelerate the speed of segmentation
and introduces a balance factor to determine the significance between the color and depth information. This method can
segment the depth image easily and precisely with the pyramid and the balance factor. The balance factor is the measure
of the discrimination for the color and depth information. If the depth information is sufficient to distinguish the object
from the background, then the depth information plays a more important role in the segmentation process, otherwise the
color information takes more important role. By using the image pyramid our method can interact with the iterative graph
cuts and greatly reduces the processing time without influencing the segmentation precision.
Key words:iterative graph cuts; balance factor; Gaussi