Recognition of bovine milk somatic cells based on multi-feature extraction and a GBDT-AdaBoost fusion model
Traditional laboratory microscopy for identifying bovine milk somatic cells is subjective, time-consuming, and labor-intensive. The accuracy of the recognition directly through a single classifier is low. In this paper, a novel algorithm that combined the feature extraction algorithm and fusion clas...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
AIMS Press
2022-04-01
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Series: | Mathematical Biosciences and Engineering |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2022274?viewType=HTML |