Color space selection for unsupervised color image segmentation by histogram multi-thresholding

We propose a new color image segmentation algorithm by unsupervised classification of pixels. This procedure iteratively constructs the classes by histogram multi-thresholding. For this purpose, the procedure selects different color spaces in which the modes of the 1D-histograms are separated as wel...

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Bibliographic Details
Published in2004 International Conference on Image Processing, 2004. ICIP '04 Vol. 1; pp. 203 - 206 Vol. 1
Main Authors Busin, L., Vandehbroucke, N., Macaire, L., Postaire, J.G.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2004
Subjects
Classification algorithms
Computer hacking
Histograms
Image analysis
Image color analysis
Image segmentation
Iterative algorithms
Pixel
Space technology
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Summary:We propose a new color image segmentation algorithm by unsupervised classification of pixels. This procedure iteratively constructs the classes by histogram multi-thresholding. For this purpose, the procedure selects different color spaces in which the modes of the 1D-histograms are separated as well as possible, so that each mode corresponds effectively to a region in the image.
ISBN:0780385543
9780780385542
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2004.1418725