深度学习图像处理系统设计

Design of Computer Image Processing System under Deep Learning

研究旨在设计基于深度学习的计算机图像处理系统。通过分析系统需求,本研究确定系统的功能和性能要求,提出系统的架构和模块划分,并选择合适的深度学习模型进行训练,详细设计图像处理模块,包括图像输入输出处理、图像增强与修复以及目标检测与识别。经测试,该系统能够有效地处理图像,提高图像质量和目标检测与识别的准确性。

The research aims to design a computer image processing system based on deep learning.By analyzing system requirements,this study determined system functionality and performance requirements,proposed system architecture and module partitioning,selected appropriate deep learning models for training,and detailedly designed the image processing modules,including image input and output processing,image enhancement and restoration,and object detection and recognition.After testing,the system can effectively process images,and improve image quality and the accuracy of object detection and recognition.