南京大学学报(自然科学版) ›› 2013, Vol. 49 ›› Issue (2): 169175.
高尚兵1**,周静波2,严云洋1
Gao Shang- Bing1,Zhou Jinh Bo2,Yan Yun-Yang1
摘要: 谱聚类是近十年来出现的一种极具竞争力的聚类算法,许多扩展和应用算法相继出现,比如
图像分割.但是,对图像分割而言,由于基于谱聚类的方法计算量十分庞大,使其应用受到严重挑战;而
降低图像分辨率的策略则会导致细节信息的丢失,使得图像的分割结果不够准确.提出一种新的基于超
像素的谱聚类图像分割算法.首先,新算法将图像分割成小区域,这些小区域称为超像素,相邻的两个超
像素之间的相似性用Bhattacharyya系数进行度量;然后,利用谱聚类将超像素聚类成有意义的区域.实
验结果表明,相较于经典算法,新算法在Berkeley图像数据库上能产生较好的分割结果,并且没有增加
计算复杂度.
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