计算机智能图像识别技术的研究

Yu Luo
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引用次数: 1

摘要

图像识别是信息时代的关键技术之一。利用图像识别技术可以完成传统传感器技术无法实现的任务。同时,借助图像识别和多源信息的融合,监测效果更好、更准确。随着计算机技术的不断发展,计算机的计算能力进一步提高,对信息的处理能力大大提高。依托智能图像识别算法,可以提高识别精度,缩短识别时间,在未来的人工智能领域将发挥重要作用。本文分析了智能图像识别技术发展的现状和特点,并对该技术的实现和改进提出了相应的建议。
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 computer intelligent image recognition technology
Image recognition is one of the key technologies in the information age. The use of image recognition technology can complete the tasks that cannot be realized by traditional sensor technology. At the same time, with the help of the fusion of image recognition and multi-source information, the monitoring effect can be better and accurate. With the continuous development of computer technology, the computing power of computer has been further improved, and the processing ability of information has been greatly improved. Relying on the intelligent image recognition algorithm, we can improve the recognition accuracy and reduce the recognition time, which will play an important role in the field of artificial intelligence in the future. This paper analyzes the current situation and characteristics of the development of intelligent image recognition technology, and puts forward corresponding suggestions for the realization and improvement of this technology.
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