摘要
本论文旨在探讨在人工智能时代下图像处理技术的发展趋势、应用场景及面临的挑战。通过对传统图像处理方法和人工智能在图像处理中的作用进行综合比较,阐述了深度学习、图像生成与增强技术、图像识别与分类方法、图像分割与语义理解等新兴技术的应用前景。针对医学影像处理、自动驾驶、智能安防监控系统和艺术与娱乐领域的应用场景进行探讨,展望了图像处理技术在未来的发展方向。论文指出了图像处理技术所面临的局限性和挑战,提出了未来的改进方向。最终得出结论,图像处理技术将在人工智能时代得到进一步发展,并指出了未来研究的重点。
This paper aims to explore the development trends,application scenarios,and challenges faced by image processing technology in the era of artificial intelligence.By comprehensively comparing the roles of traditional image processing methods and artificial intelligence in image processing,this paper elaborates on the application prospects of emerging technologies such as deep learning,image generation and enhancement techniques,image recognition and classification methods,image segmentation and semantic understanding.This article explores the application scenarios of medical image processing,autonomous driving,intelligent security monitoring systems,and art and entertainment fields,and looks forward to the future development direction of image processing technology.The paper points out the limitations and challenges faced by image processing technology and proposes future improvement directions.The final conclusion is that image processing technology will be further developed in the era of artificial intelligence,and the focus of future research is pointed out.
作者
陈喆恺
Zhekai Chen(Guangzhou Xinhua University(Dongguan Campus),Dongguan,Guangdong 523133)
基金
广州新华学院(东莞校区)大学生创新创业训练计划项目(项目编号:202313902133)。
关键词
图像处理
人工智能
深度学习
应用领域
image processing
artificial intelligence
deep learning
application area
