基于人工智能的图像识别与分类技术分析

Analysis of Image Recognition and Classification Technology Based on Artificial Intelligence

阐述深度学习原理以及关键图像处理步骤,探讨图像预处理、特征提取、分类器设计、分类决策与后处理等关键技术,通过一系列实验设计和结果分析,剖析不同技术在图像处理中的性能表现。

This paper describes the principles of deep learning and key image processing steps,explores key technologies such as image preprocessing,feature extraction,classifier design,classification decision-making,and post-processing,and analyzes the performance of different technologies in image processing through a series of experimental designs and result analysis.