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

K. S. Chenaoua; Ahmed Bouridane

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

K. S. Chenaoua, Ahmed Bouridane

Computer and Information Sciences Department

Research output: Contribution to conference › Paper › peer-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 language	English
Publication status	Published - 2010
Event	10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010) - Kuala Lumpur, Malaysia, Kuala Lumper, Malaysia Duration: 10 May 2010 → 13 May 2010

Conference

Conference	10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010)
Country/Territory	Malaysia
City	Kuala Lumper
Period	10/05/10 → 13/05/10

Keywords

signal processing

Cite this

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title = "A mean shift and non-negative PCA based color image segmentation approach",

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.",

keywords = "signal processing",

author = "Chenaoua, {K. S.} and Ahmed Bouridane",

year = "2010",

language = "English",

note = "10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010) ; Conference date: 10-05-2010 Through 13-05-2010",

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T1 - A mean shift and non-negative PCA based color image segmentation approach

AU - Chenaoua, K. S.

AU - Bouridane, Ahmed

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

KW - signal processing

UR - http://www.isspa2010.com/

M3 - Paper

T2 - 10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010)

Y2 - 10 May 2010 through 13 May 2010

ER -

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

Abstract

Conference

Keywords

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Cite this