融入局部几何特征的流形谱聚类图像分割

doi:10.16451/j.cnki.issn1003-6059.202004004

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Abstract To improve the accuracy and timeliness of spectral clustering image segmentation,an algorithm of manifold spectral clustering image segmentation based on local geometry features is proposed. Firstly, considering the manifold structure of image data, the relationship of data intrinsic dimensions is obtained by performing spectral clustering based on local principal components analysis in the k-nearest neighbor region of data points. Then, the local linear reconstruction technique in manifold learning is introduced, and the similarity of local tangent space between data is obtained via mixed linear analyzers, and the similarity matrix with local geometric features is constructed by merging the intrinsic dimension and the local tangent space. Nyström technique is utilized to approximate eigenvectors of the image to be segmented, and spectral clustering is performed on the constructed k principal eigenvectors. Finally, experiments on Berkeley dataset show the advantages of the proposed algorithm in accuracy and timeliness.

Key words： Similarity Matrix Intrinsic Dimension Local Tangent Space Manifold Spectral Clustering Image Segmentation

Received: 06 January 2020

ZTFLH:

TP 391.41

Fund:Supported by National Natural Science Foundation of China(No.51875152), Natural Science Foundation of Shanxi Province(No.201801D121134)

Corresponding Authors: ZHANG Rongguo , Ph.D., professor. His research interests include image processing, computer vision and pattern recognition.

About author:: YAO Xiaoling, master student. Her research interests include image processing and computer vision.ZHAO Jian, master, lecturer. His resear-ch interests include image processing and computer vision.HU Jing, Ph.D. candidate, associate professor. Her research interests include image processing and pattern recognition.LIU Xiaojun, Ph.D., professor. Her research interests include modern design theory and methodology, pattern recognition.

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Cite this article:

ZHANG Rongguo,YAO Xiaoling,ZHAO Jian等. Manifold Spectral Clustering Image Segmentation Algorithm Based on Local Geometry Features[J]. , 2020, 33(4): 313-324.

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http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.202004004 OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2020/V33/I4/313

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