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dc.contributor.authorFang, S.
dc.contributor.authorLiu, C.
dc.contributor.authorZhu, F.
dc.contributor.authorBoushey, Carol
dc.contributor.authorDelp, E.
dc.date.accessioned2017-03-17T08:29:39Z
dc.date.available2017-03-17T08:29:39Z
dc.date.created2017-02-19T19:31:48Z
dc.date.issued2015
dc.identifier.citationFang, S. and Liu, C. and Zhu, F. and Boushey, C. and Delp, E. 2015. A printer indexing system for color calibration with applications in dietary assessment, in Proceedings of the18th International Conference on Image Analysis and Processing: New Trends in Image Analysis and Processing (ICIAP), Sep 7-11 2015, pp. 358-365. Genova, Italy: ICIAP.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/51088
dc.identifier.doi10.1007/978-3-319-23222-5_44
dc.description.abstract

In image based dietary assessment, color is a very important feature in food identification. One issue with using color in image analysis in the calibration of the color imaging capture system. In this paper we propose an indexing system for color camera calibration using printed color checkerboards also known as fiducial markers (FMs). To use the FM for color calibration one must know which printer was used to print the FM so that the correct color calibration matrix can be used for calibration. We have designed a printer indexing scheme that allows one to determine which printer was used to print the FM based on a unique arrangement of color squares and binarized marks (used for error control) printed on the FM. Using normalized cross correlation and pattern detection, the index corresponding to the printer for a particular FM can be determined. Our experimental results show this scheme is robust against most types of lighting conditions.

dc.titleA printer indexing system for color calibration with applications in dietary assessment
dc.typeConference Paper
dcterms.source.volume9281
dcterms.source.startPage358
dcterms.source.endPage365
dcterms.source.titleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dcterms.source.seriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dcterms.source.isbn9783319232218
curtin.departmentSchool of Public Health
curtin.accessStatusFulltext not available


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