A mean shift and non-negative PCA based color image segmentation approach

K. S. Chenaoua, Ahmed Bouridane

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

Abstract

Image segmentation plays an important role in computer vision systems. An algorithm based on dimension reduction and the mean shift algorithm is used for the segmentation of color images. The Non negative matrix factorization is used for the transformation of the RGB components to a lower dimensional space. The mean shift algorithm is used to cluster the data in the reduced space and hence segment the image.
Original languageEnglish
Publication statusPublished - 2010
Event10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010) - Kuala Lumpur, Malaysia, Kuala Lumper, Malaysia
Duration: 10 May 201013 May 2010

Conference

Conference10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010)
CountryMalaysia
CityKuala Lumper
Period10/05/1013/05/10

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