Alvarado-Cervantes, R., Felipe-Riveron, E.M. and Sanchez-Fernandez, L.P. (2010) Color Image Segmentation by Means of a Similarity Function. In: Alvarado-Cervantes, R., Felipe-Riveron, E.M., Sánchez-Fernandez, L.P., Bloch, I. and Cesar Jr., R.M., Eds., 15th Iberoamerican Conference on Pattern Recognition, CIARP, Sao Paulo, Brazil, 8-11 November 2010, 319-328. Springer, Heidelberg.

has been cited by the following article:

• TITLE: A Study on the Influence of Luminance L* in the L*a*b* Color Space during Color Segmentation

  AUTHORS: Rodolfo Alvarado-Cervantes, Edgardo M. Felipe-Riveron, Vladislav Khartchenko, Oleksiy Pogrebnyak

  KEYWORDS: Color Image Segmentation, CIELAB Color Space, L*a*b* Color Space, Color Metrics, Color Segmentation Evaluation, Synthetic Color Image Generation

  JOURNAL NAME: Journal of Computer and Communications, Vol.4 No.3, March 2, 2016

  ABSTRACT: In this paper an evaluation of the influence of luminance L* at the L*a*b* color space during color segmentation is presented. A comparative study is made between the behavior of segmentation in color images using only the Euclidean metric of a* and b* and an adaptive color similarity function defined as a product of Gaussian functions in a modified HSI color space. For the evaluation synthetic images were particularly designed to accurately assess the performance of the color segmentation. The testing system can be used either to explore the behavior of a similarity function (or metric) in different color spaces or to explore different metrics (or similarity functions) in the same color space. From the results is obtained that the color parameters a* and b* are not independent of the luminance parameter L* as one might initially assume.