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Studying pressure sores through illuminant invariant assessment of digital color images

Journal of Zhejiang University-Science C(Computers and Electronics) 2010年第8期11卷 598-606页

作者： Sahar MOGHIMI Mohammad Hossein MIRAN BAYGI giti torkaman Ehsanollah KABIR Ali MAHLOOJIFAR Narges ARMANFARD Department of Electrical Engineering Tarbiat Modares University Department of Physical Therapy Tarbiat Modares University

Methods for pressure sore monitoring remain both a clinical and research *** methodologies could assist physicians in developing prompt and effective pressure sore *** this paper a technique is introduced for the assessment of pressure sores in guinea pigs,using captured color *** were artificially induced,utilizing a system particularly developed for this *** images were obtained from the suspicious region in days 3 and 7 post-pressure sore *** segments of the color images were divided and labeled into three classes,based on their severity *** quantitative analysis,a color based texture model,which is invariant against monotonic changes in illumination,is *** texture model has been developed based on the local binary pattern *** segments were classified,using the texture model and its features as inputs to a combination of neural *** 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

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