Automatic color space selection for biological image segmentation
V. Meas-Yedid, Estelle Glory, E. Morelon, Ch. Pinset, Georges Stamon, Jean‐Christophe Olivo‐Marín · Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. · 2004
In this paper, we have tested criteria designed by Liu and Borsotti to automatically evaluate the quality of a color segmentation. As they do not correctly answer our microscopy image problems, we propose two modified criteria adapted to two different biological applications. Penalizing inhomogeneity, numerous small regions and misclassified regions, our modified criteria help to select the best color space, for a given segmentation method.