图像识别技术的研究

Yida Wang
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引用次数: 3

摘要

从三维图像构建到视频处理,计算机视觉在许多领域发挥着重要作用,并将在未来继续扩大其影响。图像识别是计算机视觉范畴内的一门技术,通过对图像的处理和识别来实现自动任务。经过几十年的发展,图像识别的方法发生了很大的变化,现在大多数都是基于深度学习的。本文将介绍图像识别技术的背景和图像识别技术中的深度学习。本文将重点介绍CNN模型的发展及其结构。此外,图像识别技术在许多方面都取得了成功,本文还对图像处理和识别技术的应用、图像识别技术的现状和热门研究领域进行了研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the image recognition technology
From 3D picture construction to video processing, computer vision is playing an important role in many fields and will continue to enlarge its influence in the future. Image recognition is a technology within the range of computer vision, performing the function of processing and identifying the images to achieve the automatic tasks. With decades of development, the approach of image recognition has changed a lot and now most of it is based on deep learning. In this article, the background of image recognition technology and deep learning in image recognition technology will be introduced. And this article will focus on the development of the CNN model and its structure. Moreover, image recognition technology is successful in many aspects and this article also provides research on application of image processing and identification technology, the state of image recognition technology and the popular research area.
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