Abstract
Abstract The chemical reaction optimization (CRO), inspired from the interactions of molecules during chemical reactions in reaching a low energy stable state, searches for optimal solution through simulated reactions involving the on-wall ineffective collisions, decomposition, inter-molecular ineffective collision and synthesis. This paper attempts to obtain the global best centroids for spatial fuzzy clustering (SFC) using adaptive CRO (ACRO) with a view to facilitate the level set segmentation for medical images. The approach helps to analyze tumors or unhealthy region in various medical images. The results of medical images of brain, liver, abdomen and eye images are presented to demonstrate the performance.
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.
