Detection and classification of bruises of pears based on thermal images
Xiangyu Zeng, Yu Miao, Saima Ubaid, Xiumin Gao and Songlin Zhuang.
Postharvest Biology and Technology, Volume 161, March 2020, 111090
2020
บทคัดย่อ
The detection and classification of bruises of pears based on thermal images have been investigated. A simple thermal imaging system in the long-wavelength ranges (8–14โ€ฏµm) assembled µ with hot air equipment was constructed to capture cleaner images. Higher velocity and temperature of the air reduced the time required to obtain a clean image, but the images were not sufficient able to discriminate the slight and invisible variation of bruises over consecutive days. The grey-level co-occurrence matrix of the thermal images were analysed, and the slight differences in the pears over consecutive days were presented in the form of a line chart. A traditional deep learning algorithm commonly used in classification of big data sets was modified to one suitable for classification of a small sample data set of thermasl images (3246 samples were used as the training data set and 1125 were used as a test data set) collected from 300 pears over 10 days. The best test prediction accuracy