https://scholars.lib.ntu.edu.tw/handle/123456789/502760
標題: | Robust dermatological wound image segmentation in clinical photos | 作者: | Chang, Chih Ho, Te-We JIN-MING WU Tsai, Hsing-Hua CHUNG-PING CHEN FEI-PEI LAI HAO-CHIH TAI NAI-CHEN CHENG |
關鍵字: | Edge Detection;Image Processing;Wound Image Segmentation | 公開日期: | 25-一月-2016 | 出版社: | Institute of Electrical and Electronics Engineers Inc. | 起(迄)頁: | 7391484 | 來源出版物: | 2015 E-Health and Bioengineering Conference, EHB 2015 | 摘要: | Wound image segmentation of skin area is one of the key steps in automatic judgment, which can help clinicians in their diagnosis. This work is part of the telecare program dedicated to the design of a surgery site infection detection system We proposed a series of image processing steps composed of image processing algorithms and a novel segmentation method of complementary computation. As edge-based and color-based segmentation methods proved to be inefficient for complicated cases, we use these two methods in a joint fashion: to improve the segmentation results we apply an auxiliary algorithm to enforce edge detection and filtering of color pixels. The mechanism can derive the color value of wound parts directly from the processed photos. By analyzing the variation of color value, the system can evaluate the condition of a wound (e.g., the color of wound turns darker when being infected). As a result, of 122 clinical photos taken of patients in the National Taiwan University Hospital, one hundred six (86.9%) are judged as completely segmented by our proposed algorithm. The evaluation of completely segmentation is based on the judgement of experienced medical doctors. This ability to extract complete wound regions, make it possible to conduct further analysis such as infection detection and recovery evaluation. © 2015 IEEE. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978150719&doi=10.1109%2fEHB.2015.7391484&partnerID=40&md5=7935918f99d99005712bc5b8d6aa7447 https://scholars.lib.ntu.edu.tw/handle/123456789/502760 |
DOI: | 10.1109/EHB.2015.7391484 |
顯示於: | 醫學系 |
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