Abstract
In this paper a new approach to the subject of burn image classification is presented. When the physicians determine that a certain burn is superficial or deep, they are, unconsciously, examining some features of the burn difficult to translate into a physical measure by them. To implement a CAD tool, we need to identify these features in order to perform the same operation in an automatic way. To this aim, we have designed an experiment following the Recommendation ITU-R BT. 500-10, in which we ask 8 experts in burn images to assess the similarities of a group of selected images. Afterwards a mathematical analysis, based in the multidimensional scaling (MDS), has let us identify the numerical features that have lead experts to this classification. This suggests a promising way to automatically classify burn images.
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Fondón, I., Acha, B., Serrano, C., Sosa, M. (2006). New Characteristics for the Classification of Burns: Experimental Study. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2006. Lecture Notes in Computer Science, vol 4142. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11867661_45
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DOI: https://doi.org/10.1007/11867661_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44894-5
Online ISBN: 978-3-540-44896-9
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