Abstract
This paper proposes a novel scheme for image focusing by introducing a new focus measure based on self-matching methods. A unique pencil-shaped profile is identified by comparing the similarity between all patterns extracted around the same position in each scene. Based on this profile, a new criterion function called Complementary Pencil Volume (CPV) is defined to evaluate focus or defocus scenes based on similarity rate of self-matching, which visually represents the volume of a pencil-shape profile. Among matching methods, Orientation Code Matching (OCM) is recommended due to its invariant with regards to illuminations and contrasts. Several experiments using a Telecentric lens are implemented to demonstrate the efficiency of proposed measures. Outstandingly, comparing conventional focus measures, shows that the proposed method, focus measure based on OCM is robust against changes of brightness or illumination. Using this method, pan-focused images are composed and depth informations are represented by comparing the focus and defocus region in the scenes both under low and high illumination conditions.
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 callMore From: Journal of the Japan Society for Precision Engineering
Disclaimer: 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.
