| Título |
Behavior of the CIE L*a*b* Color Space in the Detection of Saturation Variations during Color Image Segmentation |
| Tipo |
Congreso |
| Sub-tipo |
Memoria |
| Descripción |
16th Mexican International Conference on Artificial Intelligence, MICAI 2017 |
| Resumen |
In this paper, a study of the behavior of the CIE L*a*b* color space to detect subtle changes of saturation during image segmentation is presented. It was performed a comparative study of some basic segmentation techniques implemented in the L*a*b*, RGB color space and in a modified HSI color space using a recently published adaptive color similarity function. In the CIE L*a*b* color space we have studied the behavior of: 1) the Euclidean metric of a* and b* color components rejecting L* and 2) a probabilistic approach on a* and b*. From the results it was obtained that the CIE L*a*b* color space is not adequate to distinguish subtle changes of color saturation under illumination variations. In some high saturated color regions the CIE L*a*b* is not useful to distinguish saturation variations at all. It can be observed that the CIE L*a*b* has better performance than the RGB color space in low saturated regions but it has worse performance in most high saturated color regions; all high saturation regions are very sensitive to changes in illumination and a minimum change causes failures during segmentation. The improvement in quality of the recently published color segmentation technique to distinguish subtle saturation variations is substantially significant. |
| Observaciones |
DOI 10.1007/978-3-030-02840-4_19
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 10633 |
| Lugar |
Ensenada |
| País |
Mexico |
| No. de páginas |
235-247 |
| Vol. / Cap. |
10633 LNAI |
| Inicio |
2017-10-23 |
| Fin |
2017-10-28 |
| ISBN/ISSN |
9783030028398 |
