Abstract
We make an effect evaluation method of bum treatment based on image processing for quantitative evaluation of the treatment progress. We first converted the color space of image from RGB color space to L<a<b< color space and divided image using SLIC Super pixel algorithm. Subsequently, we separate a transplanted skin and burned skin using support vector machine (SVM). As a result, in our proposed method, the average of each of the evaluation indexes recorded a value of 85% or more.
| Original language | English |
|---|---|
| Title of host publication | 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 483-486 |
| Number of pages | 4 |
| Volume | 2017-November |
| ISBN (Electronic) | 9784907764579 |
| DOIs | |
| Publication status | Published - 2017 Nov 10 |
| Event | 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017 - Kanazawa, Japan Duration: 2017 Sep 19 → 2017 Sep 22 |
Other
| Other | 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017 |
|---|---|
| Country | Japan |
| City | Kanazawa |
| Period | 17/9/19 → 17/9/22 |
Keywords
- burn treatment
- image processing
- support vector machine
ASJC Scopus subject areas
- Computer Science Applications
- Control and Optimization
- Control and Systems Engineering
- Instrumentation