Abstract
In this paper, we propose and compare four different approaches for quantification of hemoglobin and melanin on skin color image. The first method is to extract erythema/melanin indices based on skin absorbance theories. The second method is based on independent component analysis (ICA) assuming that hemoglobin and melanin absorbance spectra are independent. The third method is proposed based on non-negative matrix factorization (NMF) with multiplicative update algorithm. Finally, we propose a model-fitting technique based on Beer-Lambert law. Quantitative evaluation through graph-cut segmentation on 30 melanoma lesions from 10 patients indicates that model-fitting method outperforms the other three methods.
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© 2012 Springer-Verlag Berlin Heidelberg
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Gong, H., Desvignes, M. (2012). Hemoglobin and Melanin Quantification on Skin Images. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2012. Lecture Notes in Computer Science, vol 7325. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31298-4_24
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DOI: https://doi.org/10.1007/978-3-642-31298-4_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31297-7
Online ISBN: 978-3-642-31298-4
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