Abstract
We evolve an image enhancement method for facilitating further object detection process. For this purpose an adaptive neighbourhood image processing technique with a contrast-enhancement function is used. In order to compare function performance, simulated images containing objects similar to those observed in the phantom, with various relative contrasts and various Signal to Noise Ratio levels, were generated. When using appropriate contrast enhancement functions results show that the process enhances noteworthy features both in simulated images and real phantom images with little noise enhancement.
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.
