图像处理
计算机科学
人工智能
数字图像处理
图像(数学)
模式识别(心理学)
基础(线性代数)
特征检测(计算机视觉)
图像自动标注
机器学习
计算机视觉
数学
几何学
出处
期刊:Smart innovation, systems and technologies
日期:2023-01-01
卷期号:: 285-292
被引量:1
标识
DOI:10.1007/978-981-19-7184-6_25
摘要
In the development of social economy and scientific and technological innovation, the image processing mode and classification model chosen by network technology platform is becoming more and more changeable, but in essence, it is necessary to obtain characteristic information in effective image recognition and choose high-quality network algorithm and processing technology to complete image processing and image classification. Therefore, on the basis of understanding the current research trend of computer image processing and image classification model methods, this paper conducts in-depth discussion on the image processing methods and image classification model training design with artificial intelligence as the core and takes the image classification model of transfer learning as an example for practical exploration. The final results show that the image processing method and image classification model based on artificial intelligence have strong performance advantages in practical application.
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