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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| creator | Busin, L. Vandehbroucke, N. Macaire, L. Postaire, J.G. |
| description | 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. |
| doi_str_mv | 10.1109/ICIP.2004.1418725 |
| format | Conference Proceeding |
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| ispartof | 2004 International Conference on Image Processing, 2004. ICIP '04, 2004, Vol.1, p.203-206 Vol. 1 |
| issn | 1522-4880 2381-8549 |
| language | eng |
| recordid | cdi_ieee_primary_1418725 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Classification algorithms Computer hacking Computer Science Computer Vision and Pattern Recognition Histograms Image analysis Image color analysis Image segmentation Iterative algorithms Pixel Space technology |
| title | Color space selection for unsupervised color image segmentation by histogram multi-thresholding |
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