Model-based Parameter Recovery from Uncalibrated Optical Images

Stephen Preece; Iain Styles; SD Cotton; Elzbieta Claridge; Antonio Calcagni

doi:10.1007/11566489

Model-based Parameter Recovery from Uncalibrated Optical Images

Stephen Preece, Iain Styles, SD Cotton, Elzbieta Claridge, Antonio Calcagni

Computer Science

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3 Citations (Scopus)

Abstract

We propose a novel method for quantitative interpretation of uncalibrated optical images which is derived explicitly from an analysis of the image formation model. Parameters characterising the tissue are recovered from images acquired using filters optimised to minimise the error. Preliminary results are shown for the skin, where the technique was successfully applied to aid the diagnosis and interpretation of non-melanocytic skin cancers and acne; and for the more challenging ocular fundus, for mapping of the pigment xanthophyll.

Original language	English
Pages (from-to)	509-516
Number of pages	8
Journal	Lecture Notes in Computer Science
Volume	3750
DOIs	https://doi.org/10.1007/11566489
Publication status	Published - 1 Jan 2005
Event	Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI 2005) Part 2 - Duration: 1 Jan 2005 → …

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10.1007/11566489

http://www.cs.bham.ac.uk/~ibs/docs/miccai05.pdf

Cite this

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abstract = "We propose a novel method for quantitative interpretation of uncalibrated optical images which is derived explicitly from an analysis of the image formation model. Parameters characterising the tissue are recovered from images acquired using filters optimised to minimise the error. Preliminary results are shown for the skin, where the technique was successfully applied to aid the diagnosis and interpretation of non-melanocytic skin cancers and acne; and for the more challenging ocular fundus, for mapping of the pigment xanthophyll.",

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AU - Styles, Iain

AU - Cotton, SD

AU - Claridge, Elzbieta

AU - Calcagni, Antonio

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T2 - Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI 2005) Part 2

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Model-based Parameter Recovery from Uncalibrated Optical Images

Abstract

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