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Multispectral and hyperspectral images invariant to illumination

Resource type
Thesis type
((Thesis)) M.Sc.
Date created
2011-04-18
Authors/Contributors
Abstract
In this thesis a novel method is proposed that makes use of multispectral and hyperspectral image data to generate a novel photometric-invariant spectral image. For RGB colour image, an illuminant-invariant image was constructed independent of the illuminant and shading. To generate this image either a set of calibration images was required, or entropy information from a single image was used. For spectral images we show that photometric-invariant image formation is in essence greatly simplified. We show that with the simple knowledge of peak sensor wavelengths we can generate a high-dimensional spectral invariant. The PSNR is shown to be high between the respective invariant spectral features for multispectral and hyperspectral images taken under different illumination conditions, showing lighting invariance for a per-pixel measure; and the s-CIELAB error measure shows that the colour error between the 3-D colour images used to visualize the output invariant high-D data is also small.
Document
Identifier
etd6489
Copyright statement
Copyright is held by the author.
Permissions
The author granted permission for the file to be printed and for the text to be copied and pasted.
Scholarly level
Supervisor or Senior Supervisor
Thesis advisor: Drew, Mark S.
Member of collection
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etd6489_AYazdaniSalekdeh.pdf 1.18 MB

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