Imaging system response linearization and shading correction

I. Dinstein, F. Merkle, Tinwai Lam, Kwan Wong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Shading correction of image sensors is a very important operation in visual inspection applications. The generation and application of shading correction with and without imaging system response linearization is discussed and demonstrated. The linearization is achieved by subtracting the dark current image and by applying a lookup table operation. The content of the lookup table is obtained by fitting an analytical function to the measured system response. The linearization enables the shading correction to be a linear operation. The quality of the linearization and the shading correction was evaluated using statistical parameters of the processed images. The results showed a substantial decrease in the standard deviation of the gray level distribution of uniform reference images.

Original languageEnglish
Title of host publicationProceedings - 1984 IEEE International Conference on Robotics and Automation, ICRA 1984
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages204-209
Number of pages6
ISBN (Print)081860526X
DOIs
StatePublished - 1 Jan 1984
Externally publishedYes
Event1st IEEE International Conference on Robotics and Automation, ICRA 1984 - Atlanta, United States
Duration: 13 Mar 198415 Mar 1984

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)1050-4729

Conference

Conference1st IEEE International Conference on Robotics and Automation, ICRA 1984
Country/TerritoryUnited States
CityAtlanta
Period13/03/8415/03/84

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