Invariant representation for spectral reflectance images and its application

<p>Abstract</p> <p>Spectral images as well as color images observed from object surfaces are much influenced by various illumination conditions such as shading and specular highlight. Several invariant representations were proposed for these conditions using the standard dichromati...

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Main Authors: Ibrahim Abdelhameed, Tominaga Shoji, Horiuchi Takahiko
Format: Article
Language:English
Published: SpringerOpen 2011-01-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Online Access:http://jivp.eurasipjournals.com/content/2011/1/2
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author Ibrahim Abdelhameed
Tominaga Shoji
Horiuchi Takahiko
author_facet Ibrahim Abdelhameed
Tominaga Shoji
Horiuchi Takahiko
author_sort Ibrahim Abdelhameed
collection DOAJ
description <p>Abstract</p> <p>Spectral images as well as color images observed from object surfaces are much influenced by various illumination conditions such as shading and specular highlight. Several invariant representations were proposed for these conditions using the standard dichromatic reflection model of dielectric materials. However, these representations are inadequate for other materials like metal. This article proposes an invariant representation that is derived from the standard dichromatic reflection model for dielectric and the extended dichromatic reflection model for metal. We show that a normalized surface-spectral reflectance by the minimum reflectance is invariant to highlights, shading, surface geometry, and illumination intensity. Here the illumination spectrum and the spectral sensitivity functions of the imaging system are measured in a separate way. As an application of the proposed invariant representation, a segmentation algorithm based on the proposed representation is presented for effectively segmenting spectral images of natural scenes and bare circuit boards.</p>
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spelling doaj.art-a0419481118445a181c84ce15bd8d4cc2022-12-22T00:27:32ZengSpringerOpenEURASIP Journal on Image and Video Processing1687-51761687-52812011-01-01201112Invariant representation for spectral reflectance images and its applicationIbrahim AbdelhameedTominaga ShojiHoriuchi Takahiko<p>Abstract</p> <p>Spectral images as well as color images observed from object surfaces are much influenced by various illumination conditions such as shading and specular highlight. Several invariant representations were proposed for these conditions using the standard dichromatic reflection model of dielectric materials. However, these representations are inadequate for other materials like metal. This article proposes an invariant representation that is derived from the standard dichromatic reflection model for dielectric and the extended dichromatic reflection model for metal. We show that a normalized surface-spectral reflectance by the minimum reflectance is invariant to highlights, shading, surface geometry, and illumination intensity. Here the illumination spectrum and the spectral sensitivity functions of the imaging system are measured in a separate way. As an application of the proposed invariant representation, a segmentation algorithm based on the proposed representation is presented for effectively segmenting spectral images of natural scenes and bare circuit boards.</p>http://jivp.eurasipjournals.com/content/2011/1/2Invariant representationdichromatic reflection modelsspectral imaging systemspectral image segmentation
spellingShingle Ibrahim Abdelhameed
Tominaga Shoji
Horiuchi Takahiko
Invariant representation for spectral reflectance images and its application
EURASIP Journal on Image and Video Processing
Invariant representation
dichromatic reflection models
spectral imaging system
spectral image segmentation
title Invariant representation for spectral reflectance images and its application
title_full Invariant representation for spectral reflectance images and its application
title_fullStr Invariant representation for spectral reflectance images and its application
title_full_unstemmed Invariant representation for spectral reflectance images and its application
title_short Invariant representation for spectral reflectance images and its application
title_sort invariant representation for spectral reflectance images and its application
topic Invariant representation
dichromatic reflection models
spectral imaging system
spectral image segmentation
url http://jivp.eurasipjournals.com/content/2011/1/2
work_keys_str_mv AT ibrahimabdelhameed invariantrepresentationforspectralreflectanceimagesanditsapplication
AT tominagashoji invariantrepresentationforspectralreflectanceimagesanditsapplication
AT horiuchitakahiko invariantrepresentationforspectralreflectanceimagesanditsapplication