Abstract
Evaluation of segmentation is a non-trivial task and most often, is carried out by visual inspection for a qualitative validation. Until now, only a small number of objective and parameter-free criteria have been proposed to automatically assess the segmentation of color images. Moreover, existing criteria generally produce incorrect results on cytological images because they give an advantage to segmentations with a limited number of regions. Therefore, this paper suggests a new formulation based on two normalized terms which control the number of small regions and the color heterogeneity. This new criterion is applied to find an algorithm parameter to segment biological images.
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Glory, E., Meas-Yedid, V., Pinset, C., Olivo-Marin, JC., Stamon, G. (2005). A Quantitative Criterion to Evaluate Color Segmentations Application to Cytological Images. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2005. Lecture Notes in Computer Science, vol 3708. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558484_29
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DOI: https://doi.org/10.1007/11558484_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29032-2
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