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Color Medical Image Analysis pp 181–202Cite as

A Review on CAD Tools for Burn Diagnosis

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Part of the book series: Lecture Notes in Computational Vision and Biomechanics ((LNCVB,volume 6))

Abstract

A correct first treatment is essential for a favorable evolution of a burn injury. To know the depth of the burn is necessary to develop an appropriate course of treatment: correct visual assessment of burn depth relies highly on specialized dermatological expertise. The cost of maintaining a burn treatment unit is high, therefore it would be desirable to have an automatic system to give a first assessment at primary health-care centers, where there is a lack of specialists. The aim of the system is to separate burn wounds from healthy skin, and to distinguish among different types of burn depth. Digital color photographs are used as inputs to the system. Firstly, some topics related to image acquisition will be addressed. A method to normalize colors when photographs have been acquired with different cameras and/or illuminant conditions is described. Secondly, a comparative of several color segmentation algorithms will be presented. Finally, to estimate the burn depth a classification method, that take into account different color-texture features extracted from the burn images, will be described.

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Notes

  1. 1.

    The 250 49×49 pixel images were small images showing each one only one burn appearance (no healthy skin or background). Each 49×49 pixel image was validated by two physicians as belonging to a particular depth.

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Authors and Affiliations

  1. Dpto. Teoría de la señal y comunicaciones, E.T.S. de Ingeniería, Cmno. Descubrimientos s/n, 41092, Sevilla, Spain

    Aurora Sáez, Carmen Serrano & Begoña Acha

Authors
  1. Aurora Sáez
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  2. Carmen Serrano
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  3. Begoña Acha
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Corresponding author

Correspondence to Aurora Sáez .

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Editors and Affiliations

  1. Computer Science Department, Louisiana State University Shreveport, One University Place, Shreveport, 71115, USA

    M. Emre Celebi

  2. , Department of Computer Science, Loughborough University, Epinal Way, Loughborough, LE11 3TU, United Kingdom

    Gerald Schaefer

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Sáez, A., Serrano, C., Acha, B. (2013). A Review on CAD Tools for Burn Diagnosis. In: Celebi, M., Schaefer, G. (eds) Color Medical Image Analysis. Lecture Notes in Computational Vision and Biomechanics, vol 6. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5389-1_10

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  • DOI: https://doi.org/10.1007/978-94-007-5389-1_10

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-5388-4

  • Online ISBN: 978-94-007-5389-1

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