Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/73767
Title: Practical issues in pixel-based autofocusing for machine vision
Authors: Nathaniel, N.K.C.
Poo, A.N. 
Ang M.H., Jr. 
Keywords: Autofocusing
Focusing
Image processing
Machine vision
Issue Date: 2001
Source: Nathaniel, N.K.C.,Poo, A.N.,Ang M.H., Jr. (2001). Practical issues in pixel-based autofocusing for machine vision. Proceedings - IEEE International Conference on Robotics and Automation 3 : 2791-2796. ScholarBank@NUS Repository.
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.
Source Title: Proceedings - IEEE International Conference on Robotics and Automation
URI: http://scholarbank.nus.edu.sg/handle/10635/73767
ISSN: 10504729
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

28
checked on Dec 9, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.