Colour object classification using the fusion of visible and near-infrared spectra

Heesang Shin*, Napoleon H. Reyes, Andre L. Barczak, Chee Seng Chan

*Corresponding author for this work

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

4 Citations (Scopus)

Abstract

Under extreme light conditions, a conventional colour CCD camera would fail to render the colours of an object properly as the visible spectrum is either faintly observable in the scene or the presence of glare corrupts the colours sensed. On the other hand, for darkly-illuminated areas, a near-infrared (NIR) camera would sense stronger more discriminable signals, but could only render the scene monochromatically. The underlying challenge in this research is how to adaptively integrate a monochromatic NIR image with a faintly rendered colour image of the same darkly or very brightly lit scene to give rise to improved colour classification results that discriminate colours more effectively. This research proposes a Fuzzy-Genetic colour processing algorithm that adaptively marries together the visible and near-infrared spectra signals for the purpose of colour object recognition. The experiments were done on a scene with spatially varying illumination intensities, using Fujifilm's UV/IR Super CCD camera with a sensitivity range between 380nm to 1000nm in conjunction with NIR filters. Results prove that the proposed multi-spectrum technique yields better colour classification results than utilizing the pure visible spectrum alone.

Original languageEnglish
Title of host publicationPRICAI 2010: Trends in Artificial Intelligence - 11th Pacific Rim International Conference on Artificial Intelligence, Proceedings
Editors Byoung-Tak Zhang, Mehmet A. Orgun
PublisherSpringer
Pages498-509
Number of pages12
ISBN (Print)3642152457, 9783642152450
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event11th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2010 - Daegu, Korea, Republic of
Duration: 30 Aug 20102 Sep 2010
Conference number: 11th

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6230 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2010
Abbreviated titlePRICAI 2010
Country/TerritoryKorea, Republic of
CityDaegu
Period30/08/102/09/10

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