期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2013
卷号：6
期号：5
页码：367-380
出版社：SERSC
摘要：Measurement of wound healing status is very important for monitoring and evaluation of progress in an individual patient. Thus wound classification is a vital step in the development of an automatic measurement system for wound healing assessment. In the existing system a RGB (Red, Green and Blue) histogram distributions of pixel values from wound colour images is being used in the new tissue classification protocol [1],[4] . This protocol has been carried out using the KNN classifier and results show that the in the proposed system the existing system protocol is integrated with another protocol i.e., fuzzy classification for maximum probability. Thus the maximum probable result is considered as final classification of the resultant wound type depending whether the wound categorizes under the acute or the chronic wound and denotes the healing period.
关键词：Image processing; tissue classification; leg ulcers; chronic wounds; fuzzification wound healing; wound assessment for chronic wounds (WAC)
