计算机应用研究2011，Vol.28Issue(5)：1994-1997,4.DOI:10.3969/j.issn.1001-3695.2011.05.114
一种新的大规模复杂图像分割的谱聚类方法
New spectral clustering method for large-scale complex image segmentation
摘要
Abstract
This paper proposed a new spectral clustering method for large-scale complex image segmentation. This approach firstly obtained the smaller model of an image by uniform sampling, got the spectral and texture features of the smaller image above on through fast cartoon-texture decomposition models. Then determined the segmentation of the smaller image by Nystrom spectral clustering. Finally, used the above segmentation to estimate the final classification of the original image based on the rule containing the idea of K nearest neighbor and random selection. Some large-scale synthesized textured images and nature images were used for testing. The experimental results show the feasibility and effectiveness of the proposed method.关键词
谱聚类/大规模图像/卡通-纹理分解/采样/估计Key words
spectral clustering/ large-scale image/ cartoon-texture decomposition/ sampling/ estimate分类
信息技术与安全科学引用本文复制引用
李俊英,汪西莉..一种新的大规模复杂图像分割的谱聚类方法[J].计算机应用研究,2011,28(5):1994-1997,4.基金项目
国家自然科学基金资助项目(40671133) （40671133）
中央高校研究基金资助项目(GK200902015) （GK200902015）
