TY - GEN
T1 - Behavior of the CIE L*a*b* color space in the detection of saturation variations during color image segmentation
AU - Alvarado-Cervantes, Rodolfo
AU - Felipe-Riveron, Edgardo M.
AU - Khartchenko, Vladislav
AU - Pogrebnyak, Oleksiy
AU - Alvarado-Martínez, Rodolfo
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2018.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - CIELAB Lab color space
KW - Color categorization
KW - Color image segmentation
KW - Color metrics
KW - Color segmentation evaluation
KW - Synthetic color image generation
UR - http://www.scopus.com/inward/record.url?scp=85059938866&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-02840-4_19
DO - 10.1007/978-3-030-02840-4_19
M3 - Contribución a la conferencia
SN - 9783030028398
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 235
EP - 247
BT - Advances in Computational Intelligence - 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, Proceedings
A2 - González-Mendoza, Miguel
A2 - Castro, Félix
A2 - Miranda-Jiménez, Sabino
PB - Springer Verlag
T2 - 16th Mexican International Conference on Artificial Intelligence, MICAI 2017
Y2 - 23 October 2017 through 28 October 2017
ER -