EPFL | Biomedical Imaging Group | Thermographic Images

Karhunen-LoÈve Analysis of Dynamic Sequences of Thermographic Images for Early Breast Cancer Detection

M. Unser, H. van Hamme, P. De Muynck, E. van Denhaute, J. Cornelis

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'88), Ann Arbor MI, USA, June 5-9, 1988, pp. 592–596.

The Karhunen-LoÈve transform (KLT) is applied to the analysis of dynamic sequences of thermograms describing the temporal evolution of body surface temperature following the application of an external thermal stimulus. The KLT may be evaluated either along the spatial or temporal dimensions of the data; the duality of both representations is emphasized. An example is presented to illustrate that the KLT allows an efficient data reduction and facilities tumor detection by highlighting physiologically important abnormalities in the time behavior of thermal patterns.

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AUTHOR="Unser, M. and van Hamme, H. and De Muynck, P. and van
	Denhaute, E. and Cornelis, J.",
TITLE="{K}arhunen-{L}o{\`{e}}ve Analysis of Dynamic Sequences of
	Thermographic Images for Early Breast Cancer Detection",
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	Computer Vision and Pattern Recognition ({CVPR'88})",
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pages="592--596",
address="Ann Arbor MI, USA",
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