摘要
归一化割准则不仅度量了不同分组之间的总体不相似性,同时度量了各个组之内的总体相似性。具体研究了基于归一化割的图像分割算法,并将其应用于不同类型的图像分割中,取得了较好的效果。
The normalized cut criterion measures the total dissimilarity between the different groups as well as the total similarity within the groups. The algorithm and how to apply it to segmenting different kinds of images are introduced in this paper. Valuable experimental results are obtained.
出处
《计算机应用研究》
CSCD
北大核心
2007年第2期165-166,共2页
Application Research of Computers
基金
国家自然科学基金资助项目(60375010)
关键词
图像分割
归一化割
图的划分
分组
Image Segmentation
Normalized Cut
Graph Partition
Grouping
