Abstract
In this paper, we present a two steps segmentation method. The first consists in color image quantization by genetic algorithm based clustering method where variable string length and fitness function with a smallest number of variables are used. Once pixels are classified in 3D color space, a Connected Component Labeling adapted to color image is proposed and applied to the 2D image space to get separate regions. Results are discussed using Berkeley color images base in RGB and Lab color spaces.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
