Fuzzy Rule Based Color Space
Reshmalakshmi C1, Sasikumar M2

1Reshmalakshmi C, Department of Electronics and Communication, Marian engineering College, (Kerala), India.
2Sasikumar M. Department of Electronics and Communication, Marian Engineering College, (Kerala), India.

Manuscript received on 15 February 2016 | Revised Manuscript received on 25 February 2016 | Manuscript Published on 28 February 2016 | PP: 141-144 | Volume-5 Issue-3, February 2016 | Retrieval Number: C4456025316/16©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Color prediction is still a critical issue in computer vision and image processing. It is necessary to ensure that the perceived color of object remains constant under varying illumination conditions. Novelty of this paper lies in introduction of new color space called linguistic color space designed using fuzzy system for better color constancy. In addition, mapping from RGB to linguistic space retains the precision and accuracy. While evaluating the algorithm, it is clear that the color components are preserved effectively and accurately with the help of combination of different types of membership functions. Inference rules with membership functions results intuitive and efficient color space.
Keywords: Color Space, Fuzzy Inference, Linguistic Variable, Membership Functions

Scope of the Article: Fuzzy Logics