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作者:

Cai, Likai (Cai, Likai.)

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摘要:

Image recognition technology, as an important branch in the field of artificial intelligence, aims to process and analyze images to recognize objects in images. The aim of this paper is to summarize the general approach to implementing image recognition and the application of this technology in some fields by analyzing relevant articles in the field of image recognition in recent years and to suggest possible conjectures on the future direction of this technology. This paper points out that the image recognition process is divided into two main parts: image processing and image recognition. For the implementation of the corresponding algorithms, this paper introduces two commonly used software libraries: OpenCV and YOLOv5. In addition, the paper also focuses on the applications and contributions of image recognition techniques to face recognition, lane detection, and medical image analysis. It is also pointed out that image recognition technology has a very promising future, and that there is still a lot of further improvement in the field of medical image analysis. © 2023 SPIE.

关键词:

Medical imaging Face recognition Noise abatement Image enhancement Image analysis Deep learning Generative adversarial networks Audio acoustics

作者机构:

  • [ 1 ] [Cai, Likai]Beijing-Dublin International College, Beijing University of Technology, Beijing, Beijing; 100000, China

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来源 :

ISSN: 0277-786X

年份: 2023

卷: 12707

语种: 英文

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ESI高被引论文在榜: 0 展开所有

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