원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.9 No.6
2016.06
pp.25-34
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
The main research object in this paper is cotton-PET blended fabric. The study hopes that the content of cotton can be accurately obtained from the data of only a few near-infrared spectral point. In the research we choose spectra data within 1400nm-2000nm to establish the calibration model. At the time of modeling, we use the method which combine stepwise regression and normalization. The result indicates that the method can not only reduce the influence of fabric structural difference on quantitative analysis, but also achieve a relative accurate analysis of cotton content with the presence of a small amount of wavelength data.
목차
Abstract
1. Introduction
2. Principle of Stepwise Regression
3. Selection of Normalized Standard Wavelength
4. Experiment Results and Analysis
5. Compared with the Traditional Pretreatment Methods
6. Conclusions
References
1. Introduction
2. Principle of Stepwise Regression
3. Selection of Normalized Standard Wavelength
4. Experiment Results and Analysis
5. Compared with the Traditional Pretreatment Methods
6. Conclusions
References
저자정보
참고문헌
자료제공 : 네이버학술정보