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Studying pressure sores through illuminant invariant assessment of digital color images

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Abstract

Methods for pressure sore monitoring remain both a clinical and research challenge. Improved methodologies could assist physicians in developing prompt and effective pressure sore interventions. In this paper a technique is introduced for the assessment of pressure sores in guinea pigs, using captured color images. Sores were artificially induced, utilizing a system particularly developed for this purpose. Digital images were obtained from the suspicious region in days 3 and 7 post-pressure sore generation. Different segments of the color images were divided and labeled into three classes, based on their severity status. For quantitative analysis, a color based texture model, which is invariant against monotonic changes in illumination, is proposed. The texture model has been developed based on the local binary pattern operator. Tissue segments were classified, using the texture model and its features as inputs to a combination of neural networks. Our method is capable of discriminating tissue segments in different stages of pressure sore generation, and therefore can be a feasible tool for the early assessment of pressure sores.

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Authors and Affiliations

  1. Department of Electrical Engineering, Tarbiat Modares University, P.O. Box, 14115-111, Tehran, Iran

    Sahar Moghimi, Mohammad Hossein Miran Baygi, Ehsanollah Kabir, Ali Mahloojifar & Narges Armanfard

  2. Department of Physical Therapy, Tarbiat Modares University, P.O. Box, 14115-111, Tehran, Iran

    Giti Torkaman

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  1. Sahar Moghimi
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  2. Mohammad Hossein Miran Baygi
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  3. Giti Torkaman
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  4. Ehsanollah Kabir
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  5. Ali Mahloojifar
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  6. Narges Armanfard
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Correspondence to Mohammad Hossein Miran Baygi.

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Moghimi, S., Miran Baygi, M.H., Torkaman, G. et al. Studying pressure sores through illuminant invariant assessment of digital color images. J. Zhejiang Univ. - Sci. C 11, 598–606 (2010). https://doi.org/10.1631/jzus.C0910552

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  • DOI: https://doi.org/10.1631/jzus.C0910552

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