Abstract
In this paper a novel color image segmentation algorithm based on homogeneity histogram is proposed. The proposed approach uses intermediate features of maximum overlap wavelet transform (IMOWT). The IMOWT, which is the efficient transform, has been applied to color image segmentation for its time effectiveness, flexibility and translation invariance which are required for good segmentation results. The set of transform coefficients derived from wavelet domain are subjected to an efficient peak finding algorithm (PFA). PFA is employed to identify the most significant peaks of the homogeneity histogram. While we process the homogeneity histogram, both local and global information are taken into account. This is particularly helpful in taking care of small objects and local variations of the image. This method provides better segmentation results when compared to the direct application of PFA and Mean shift algorithm.
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.
