计算机科学与探索2018，Vol.12Issue(3)：442-451,10.DOI:10.3778/j.issn.1673-9418.1701012
多尺度单特征谱分割算法
Multiscale Single Feature Spectral Segmentation
摘要
Abstract
To improve the performance of spectral segmentation with single feature in image segmentation,this paper proposes a multiscale spectral segmentation algorithm.Firstly,this paper defines diffusion map based multiscale fea-ture descriptor(DMFD)which can efficiently describe the geometry construction and intrinsic feature of an image. To utilize the fast algorithm in spectral graph wavelet(SGW)and compute the eigenvector of every pixel,this paper builds the connection between DMFD and SGW.Then,this paper proposes the DMFD based spectral segmentation method(DMFD-Ncut)and the pointwise self-adaptive optimal scale(PSOS)method to adaptively compute the affin-ity matrix in the optimal scale.At last,the experiments with Berkeley dataset show DMFD-Ncut and DMFD-Ncut with PSOS can both improve the performance of image segmentation.关键词
谱分割/扩散映射/谱图小波/自适应尺度选择/图像分割Key words
spectral segmentation/diffusion map/spectral graph wavelet/self-adaptive optimal scale/image seg-mentation分类
信息技术与安全科学引用本文复制引用
张敬茂,沈艳霞..多尺度单特征谱分割算法[J].计算机科学与探索,2018,12(3):442-451,10.基金项目
The National Natural Science Foundation of China under Grant Nos.61573167,61572237(国家自然科学基金) （国家自然科学基金）
the Fundamental Research Funds for the Central Universities of China under Grant No.JUSRP51510(中央高校基本科研业务费专项资金). （中央高校基本科研业务费专项资金）
