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Front. Inform. Technol. Electron. Eng.  2010, Vol. 11 Issue (8): 598-606    DOI: 10.1631/jzus.C0910552
    
Studying pressure sores through illuminant invariant assessment of digital color images
Sahar Moghimi1, Mohammad Hossein Miran Baygi*,1, Giti Torkaman2, Ehsanollah Kabir1, Ali Mahloojifar1, Narges Armanfard1
1 Department of Electrical Engineering, Tarbiat Modares University, P.O. Box 14115-111, Tehran, Iran 2 Department of Physical Therapy, Tarbiat Modares University, P.O. Box 14115-111, Tehran, Iran
Studying pressure sores through illuminant invariant assessment of digital color images
Sahar Moghimi1, Mohammad Hossein Miran Baygi*,1, Giti Torkaman2, Ehsanollah Kabir1, Ali Mahloojifar1, Narges Armanfard1
1 Department of Electrical Engineering, Tarbiat Modares University, P.O. Box 14115-111, Tehran, Iran 2 Department of Physical Therapy, Tarbiat Modares University, P.O. Box 14115-111, Tehran, Iran
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摘要： 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.
关键词： Local binary pattern (LBP);  Automatic assessment;  Neural networks;  Color based texture model;  Pressure sores;  Digital color images    
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.
Key words: Local binary pattern (LBP)    Automatic assessment    Neural networks    Color based texture model    Pressure sores    Digital color images
收稿日期: 2009-09-07 出版日期: 2010-08-02
CLC:  TP391  
通讯作者: Mohammad Hossein MIRAN BAYGI     E-mail: miranbmh@modares.ac.ir
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Sahar Moghimi
Mohammad Hossein Miran Baygi
Giti Torkaman
Ehsanollah Kabir
Ali Mahloojifar
Narges Armanfard

引用本文:

Sahar Moghimi, Mohammad Hossein Miran Baygi, Giti Torkaman, Ehsanollah Kabir, Ali Mahloojifar, Narges Armanfard. Studying pressure sores through illuminant invariant assessment of digital color images. Front. Inform. Technol. Electron. Eng., 2010, 11(8): 598-606.

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http://www.zjujournals.com/xueshu/fitee/CN/10.1631/jzus.C0910552    或    http://www.zjujournals.com/xueshu/fitee/CN/Y2010/V11/I8/598

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