Earticle

초록

영어

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.

목차

Abstract
 1. Introduction
 2. Wound Assessment
 3. Methodology
 4. Conclusion
 References

키워드

저자

• K Sundeep Kumar [ Associate Professor, Dept. of CSE, CMR Institute of Technology, Bangalore, India ]
• B. Eswara Reddy [ Professor, Dept. of CSE, JNTU College of Engineering Anantapur, 515002, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605