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Summary: PRACTICAL ISSUES IN PIXEL-BASED AUTOFOCUSING FOR MACHINE VISION
Ng Kuang Chern,Nathaniel Poo Aun Neow* Marcelo H. Ang Jr.*
Center for Intelligent Products and Manufacturing Systems
Department of Mechanical Engineering
National University of Singapore
*{mpepooan,mpeangh}@nus.edu.sg
Abstract
Different autofocusing methods exist for many cameras
today. While not ignoring commercially available methods
requiring specialized hardware, this paper focuses mainly on
pixel based autofocusing algorithms as applied to CCD camera
systems. Different measures of image sharpness are compared.
For each of these, different algorithms for searching the best
lens setting are assessed in terms of performance as well as
their applicability to various situations. In addition, several
other factors potentially affecting camera focusing are also
discussed. Based on the information obtained, this research
attempts to formulate a robust autofocusing algorithm.
Keywords
Autofocusing, focusing, machine vision, image
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