Studying pressure sores through illuminant invariant assessment of digital color images
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 captur...
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| Veröffentlicht in: | Frontiers of information technology & electronic engineering 2010-08, Vol.11 (8), p.598-606 |
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| creator | Moghimi, Sahar Miran Baygi, Mohammad Hossein Torkaman, Giti Kabir, Ehsanollah Mahloojifar, Ali Armanfard, Narges |
| description | 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. |
| doi_str_mv | 10.1631/jzus.C0910552 |
| format | Article |
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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. 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Zhejiang Univ. - Sci. C</addtitle><addtitle>Journal of zhejiang university science</addtitle><description>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.</description><subject>Color imagery</subject><subject>Communications Engineering</subject><subject>Computer Hardware</subject><subject>Computer Science</subject><subject>Computer Systems Organization and Communication Networks</subject><subject>Digital imaging</subject><subject>Electrical Engineering</subject><subject>Electronics and Microelectronics</subject><subject>Guinea pigs</subject><subject>Instrumentation</subject><subject>Invariants</subject><subject>Networks</subject><subject>Neural networks</subject><subject>Pressure ulcers</subject><subject>Segments</subject><subject>Texture</subject><issn>1869-1951</issn><issn>2095-9184</issn><issn>1869-196X</issn><issn>2095-9230</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kM1LAzEQxYMoWGqP3oOet26STXZzlKJWKHhQ0VvI5mObut20ya5Q_3pTWvXkXObB_ObN8AC4RPkUMYJuVl9DnM5yjnJK8QkYoYrxDHH2fvqrKToHkxhXeSpCKWdkBN6e-0HvXNfATTAxDsHA6JOC_TL4oVlC17bD2nWy66HrPmVweyVjTPDaJOkt1K5xvWyh8q0P0K1lY-IFOLOyjWZy7GPwen_3Mptni6eHx9ntIlOEoD4jhbYFz61ENWe10VzWNZOYI46UIgprVWCGNa2oktpQbcsyzaxBmBBGa0LG4Prguwl-O5jYi5UfQpdOiuRSlRgTXiYqO1Aq-BiDsWIT0p9hJ1Au9vGJfXziJ77ETw98TFzXmPDn-t_C1fHA0nfNNu2IWqoP61ojSMFYhQpMvgEsaYBA</recordid><startdate>20100801</startdate><enddate>20100801</enddate><creator>Moghimi, Sahar</creator><creator>Miran Baygi, Mohammad Hossein</creator><creator>Torkaman, Giti</creator><creator>Kabir, Ehsanollah</creator><creator>Mahloojifar, Ali</creator><creator>Armanfard, Narges</creator><general>SP Zhejiang University Press</general><general>Springer Nature B.V</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W92</scope><scope>~WA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L6V</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope></search><sort><creationdate>20100801</creationdate><title>Studying pressure sores through illuminant invariant assessment of digital color images</title><author>Moghimi, Sahar ; 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| subjects | Color imagery Communications Engineering Computer Hardware Computer Science Computer Systems Organization and Communication Networks Digital imaging Electrical Engineering Electronics and Microelectronics Guinea pigs Instrumentation Invariants Networks Neural networks Pressure ulcers Segments Texture |
| title | Studying pressure sores through illuminant invariant assessment of digital color images |
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