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机器学习在图形图像处理中的应用与关键技术分析

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智能化浪潮下图像和视频数据爆炸式增长,需挖掘图像中的深层信息,最大化应用数据信息的价值.机器学习技术以学习和分析能力使计算机具备理解、识别和处理图像的能力.通过深度学习不仅可捕捉图像的表面特征,更洞察其深层含义,满足人们对图形图像处理的多样化需求.该文探讨了机器学习在图形图像处理中的应用,分析其关键技术,旨在推动该领域的技术进步与应用发展.
Application and Key Technology Analysis of Machine Learning in Graphics and Image Processing
Under the wave of intelligence,the explosive growth of image and video data requires the exploration of deep information in images to maximize the value of applied data information.Machine learning technology enables computers to understand,recognize,and process images through their learning and analytical abilities.Through deep learning,it can not only capture the surface features of images,but also gain insight into their deeper meanings,meeting people's diverse needs for graphic and image processing.This article explores the application of machine learning in graphics and image processing,analyzes its key technologies,and aims to promote technological progress and application development in this field.

machine learninggraphic and image processingapplicationkey technology

秦云霞

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天水师范学院电子信息与电气工程学院,甘肃 天水 400000

机器学习 图形图像处理 应用 关键技术

2024

数字通信世界
电子工业出版社

数字通信世界

影响因子:0.162
ISSN:1672-7274
年,卷(期):2024.(9)