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Scene Recognition by Hyperspectral Ratio Indexing: How Many Channels Are Necessary?

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The problem of object or scene recognition is often addressed by seeking geometric image properties that are invariant under changes in viewing conditions. An alternative, non-geometric, ratio method was described by Funt and Finlayson (IEEE Trans. Pattern Anal. Mach. Intell. 17,522, 1995) in which histograms of spatial ratios of colour RGB triplets from neighbouring image regions were used to recognise objects under changes in viewpoint and illumination. In this study, ratio indexing was extended from RGB images to hyperspectral images with a variable number of sensor channels distributed over 400-720 nm. Fifty natural scenes were used to generate test and reference images. For each number of sensors, independent random samples were drawn from each test image of a scene under either a daylight of correlated colour temperature of 25000 K or of 4000 K and matched against independent random samples drawn from each reference image of the scenes under a daylight of correlated colour temperature 6500 K. Matching was based on the intersection of multi-dimensional histograms of ratios of sensor signals in these samples Differences between match hit and false-alarm rates provided a measure of recognition performance. Results suggest that for small samples, indexing with five sensor channels has advantages over indexing with three sensor channels for the recognition of natural scenes.
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Document Type: Research Article

Publication date: January 1, 2012

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  • Started in 2002 and merged with the Color and Imaging Conference (CIC) in 2014, CGIV covered a wide range of topics related to colour and visual information, including color science, computational color, color in computer graphics, color reproduction, volor vision/psychophysics, color image quality, color image processing, and multispectral color science. Drawing papers from researchers, scientists, and engineers worldwide, DGIV offered attendees a unique experience to share with colleagues in industry and academic, and on national and international standards committees. Held every year in Europe, DGIV papers were more academic in their focus and had high student participation rates.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual papers for details.

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