Research on the classification method of different quality dry alfalfa based on scanning electron microscopy (SEM) image texture analysis
This study proposes a new method to distinguish between the different qualities of dry alfalfa. This method uses scanning electron microscopy (SEM) to obtain grayscale images, and. then, using an equalized histogram, the gray-level co-occurrence matrix (GLCM) extracts 14 texture features. The textur...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2019-01-01
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| Series: | Cogent Food & Agriculture |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/23311932.2019.1697073 |