Research on the classification method of different quality dry alfalfa based on scanning electron microscopy (SEM) image texture analysis

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...

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Bibliographic Details
Main Authors: Gaofeng Chen, Guifang Wu
Format: Article
Language:English
Published: Taylor & Francis Group 2019-01-01
Series:Cogent Food & Agriculture
Subjects:
scanning electron microscopy image of alfalfa
gray-level co-occurrence matrix
principal component analysis
linear discriminant analysis
classification model
Online Access:http://dx.doi.org/10.1080/23311932.2019.1697073

Internet

http://dx.doi.org/10.1080/23311932.2019.1697073

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