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基于深度学习的图像特征提取与分类算法研究

吴瑞

数码设计Issue(23):168-170,3.
数码设计Issue(23):168-170,3.

基于深度学习的图像特征提取与分类算法研究

Research on Image Feature Extraction and Classification Algorithm Based on Deep Learning

吴瑞1

作者信息

  • 1. 郑州市经济贸易学校,郑州 450000
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摘要

Abstract

Image feature extraction and classification algorithms using deep learning are highly respected in the field of computer vision.The article comprehended the growth trajectory of deep learning in the field of image processing and its significant advantages,analyzed the in-depth analysis of deep learning image feature extraction,analyzed the fusion practice of CNN and migration learning in the field of feature extraction,discussed the powerful ability of deep learning in image classification,and analyzed the improvement path and evaluation criteria of classification algorithms.

关键词

深度学习/图像特征提取/卷积神经网络/分类算法/图像处理

Key words

deep learning/image feature extraction/convolutional neural network/classification algorithm/image processing

分类

信息技术与安全科学

引用本文复制引用

吴瑞..基于深度学习的图像特征提取与分类算法研究[J].数码设计,2024,(23):168-170,3.

数码设计

1672-9129

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