research-article

Spectral Filter Optimization for the Recovery of Parameters which Describe Human Skin

Authors:

E. ClaridgeAuthors Info & Claims

IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 26, Issue 7

Pages 913 - 922

https://doi.org/10.1109/TPAMI.2004.36

Published: 01 July 2004 Publication History

Abstract

This paper presents a method for finding spectral filters that minimize the error associated with histological parameters characterizing normal skin tissue. These parameters can be recovered from digital images of the skin using a physics-based model of skin coloration. The relationship between the image data and histological parameter values is defined as a mapping function from the image space to the parameter space. The accuracy of this function is determined by the choice of optical filters. An optimization criterion for finding the optimal filters is defined by combing methodology from differential geometry with statistical error analysis. It is shown that the magnitude of errors associated with the optimal filters is typically half of that for typical RGB filters on a three-parameter model of human skin coloration. Finally, other medical image applications are identified to which this generic methodology could be applied.

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Digital Library

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Cited By

Ha HHwang IMonzon NCho JKim DBaek SMuñoz AGutierrez DKim M(2024)Polarimetric BSSRDF Acquisition of Dynamic FacesACM Transactions on Graphics10.1145/368776743:6(1-11)Online publication date: 19-Dec-2024
https://dl.acm.org/doi/10.1145/3687767
Jolivot RBenezeth YMarzani F(2013)Skin parameter map retrieval from a dedicated multispectral imaging system applied to dermatology/cosmetologyJournal of Biomedical Imaging10.1155/2013/9782892013(26-26)Online publication date: 1-Jan-2013
https://dl.acm.org/doi/10.1155/2013/978289
Nazr-e-Batool NHani AYap V(2007)Markov-Gibbs random field modeling of 3D skin surface textures for haptic applicationsProceedings of the 2007 international conference on Computational science and Its applications - Volume Part II10.5555/1802954.1803024(694-705)Online publication date: 26-Aug-2007
https://dl.acm.org/doi/10.5555/1802954.1803024
Show More Cited By

Index Terms

Spectral Filter Optimization for the Recovery of Parameters which Describe Human Skin
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks
  2. Computer graphics
    1. Image manipulation

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cover image IEEE Transactions on Pattern Analysis and Machine Intelligence

IEEE Transactions on Pattern Analysis and Machine Intelligence Volume 26, Issue 7

July 2004

146 pages

ISSN:0162-8828

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Copyright © 2004.

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IEEE Computer Society

United States

Publication History

Published: 01 July 2004

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Cited By

Ha HHwang IMonzon NCho JKim DBaek SMuñoz AGutierrez DKim M(2024)Polarimetric BSSRDF Acquisition of Dynamic FacesACM Transactions on Graphics10.1145/368776743:6(1-11)Online publication date: 19-Dec-2024
https://dl.acm.org/doi/10.1145/3687767
Jolivot RBenezeth YMarzani F(2013)Skin parameter map retrieval from a dedicated multispectral imaging system applied to dermatology/cosmetologyJournal of Biomedical Imaging10.1155/2013/9782892013(26-26)Online publication date: 1-Jan-2013
https://dl.acm.org/doi/10.1155/2013/978289
Nazr-e-Batool NHani AYap V(2007)Markov-Gibbs random field modeling of 3D skin surface textures for haptic applicationsProceedings of the 2007 international conference on Computational science and Its applications - Volume Part II10.5555/1802954.1803024(694-705)Online publication date: 26-Aug-2007
https://dl.acm.org/doi/10.5555/1802954.1803024
Preece SStyles ICotton SClaridge ECalcagni A(2005)Model-based parameter recovery from uncalibrated optical imagesProceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II10.5555/1986676.1986744(509-516)Online publication date: 26-Oct-2005
https://dl.acm.org/doi/10.5555/1986676.1986744

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