Color space selection for unsupervised color image segmentation by histogram multi-thresholding - Archive ouverte HAL
Communication Dans Un Congrès Année : 2004

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

Résumé

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.
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Dates et versions

hal-01937696 , version 1 (28-11-2018)

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Laurent Busin, Nicolas Vandenbroucke, Ludovic Macaire, Jack-Gérard Postaire. Color space selection for unsupervised color image segmentation by histogram multi-thresholding. 2004 International Conference on Image Processing (ICIP 2004), Oct 2004, Singapour, Singapore. pp.203--206, ⟨10.1109/ICIP.2004.1418725⟩. ⟨hal-01937696⟩
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