Chinese Journal of Lasers, Volume. 51, Issue 3, 0307109(2024)
Detection of Tomato Fruit Sugar Content Based on Phase Imaging
Fig. 2. Phase data acquisition system and bright field image and phase diagram of the tomato flesh cells. (a) Phase data acquisition system; (b) bright field image of the tomato flesh cells; (c) phase diagram of the tomato flesh cells
Fig. 3. Spectral curves of the tomato fruit. (a) Original spectra; (b) spectra after MSC preprocessing
Fig. 5. CARS feature band screening. (a) The number of sampled variables; (b) RMSECV; (c) regression coefficient
Fig. 6. Regression curves of different sugar content prediction models. (a) MSC+CARS+PLS; (b) original+CARS+SVR
Fig. 8. Phase imaging principle of monocyte model and phase shift distribution within the imaging plane. (a) Schematic diagram of phase imaging of monocyte model; (b) phase shift distribution of cells in the XOZ plane
Fig. 9. Phase peak and sample edge detection of tomato flesh cells. (a) Phase peak of a tomato flesh cell; (b) Canny operator detection for model cells; (c) Canny operator detection of tomato flesh cells
Fig. 10. Correlation between tomato sugar content and phase parameters. (a) Sugar content-phase envelope volume distribution; (b) sugar content-phase peak distribution
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Yixin Xu, Haichen Dai, Yue Zhang, Luxin Yu, Yuanyuan Xu, Ying Ji. Detection of Tomato Fruit Sugar Content Based on Phase Imaging[J]. Chinese Journal of Lasers, 2024, 51(3): 0307109
Category: Biomedical Optical Imaging
Received: Jun. 28, 2023
Accepted: Oct. 7, 2023
Published Online: Jan. 24, 2024
The Author Email: Ji Ying (jy@ujs.edu.cn)
CSTR:32183.14.CJL230963