Multispectral Fluorescence Imaging Technique for On-Line Inspection of Fecal Residues on Poultry Carcasses
Abstract
:1. Introduction
2. Materials and Methods
2.1. Fecal Matters from Chicken Organs
2.2. Data Acquisition and Image Correction
2.3. Analysis of Fluorescence Spectra
2.4. Analysis of Multispectral Fluorescence Image
3. Results and Discussion
3.1. Spectral Characteristics
3.2. Spectral Data Analysis
3.2.1. Spectral Analysis Using PCA
3.2.2. Spectral Classification Using PLS-DA
3.3. Image Data Analysis
3.3.1. Color Image Classification
3.3.2. Image Classification Using Band Ratio
3.3.3. Image Classification Using PLS-DA
3.3.4. Image Classification Using PCA
4. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Pre-Processing | Bottom-ROI | Upper-ROI | Skin-ROI | Accuracy | Kappa | |
---|---|---|---|---|---|---|
PLS-DA | X* | 92.4% | 97.8% | 99.8% | 97.6% | 0.96 |
MSC | 81.0% | 86.7% | 99.7% | 90.1% | 0.84 | |
D1 | 80.5% | 96.8% | 96.0% | 92.3% | 0.88 | |
D2 | 79.7% | 98.2% | 96.3% | 92.8% | 0.89 |
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Seo, Y.; Lee, H.; Mo, C.; Kim, M.S.; Baek, I.; Lee, J.; Cho, B.-K. Multispectral Fluorescence Imaging Technique for On-Line Inspection of Fecal Residues on Poultry Carcasses. Sensors 2019, 19, 3483. https://doi.org/10.3390/s19163483
Seo Y, Lee H, Mo C, Kim MS, Baek I, Lee J, Cho B-K. Multispectral Fluorescence Imaging Technique for On-Line Inspection of Fecal Residues on Poultry Carcasses. Sensors. 2019; 19(16):3483. https://doi.org/10.3390/s19163483
Chicago/Turabian StyleSeo, Youngwook, Hoonsoo Lee, Changyeun Mo, Moon S. Kim, Insuck Baek, Jayoung Lee, and Byoung-Kwan Cho. 2019. "Multispectral Fluorescence Imaging Technique for On-Line Inspection of Fecal Residues on Poultry Carcasses" Sensors 19, no. 16: 3483. https://doi.org/10.3390/s19163483