Abstract
Image segmentation is a complex problem, in particular to color images. Different mechanisms exist for the gray-level image segmentation, but a very less work exists for the color image segmentation. Thresholding is the technique which is, in general, used for the gray-level image segmentation. This paper presents an approach for the color image segmentation using the thresholding logic. This paper describes the mechanism to find the multi-level thresholds in view of color image segmentation. The presented procedure uses the histogram to find the multi-level thresholds. Weights, mean, variance and within-class variance are used to find the multi-level thresholds. Experimentations are carried out on the BSD color image dataset.
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.
