基于人工智能的计算机视觉成像

Xin Li, Yiliang Shi
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引用次数: 16

摘要

为了研究基于人工智能的计算机视觉成像,利用计算机技术高效、准确地从环境图像或视频中获取相关信息。对客观世界中的事物和现象进行分析、判断和决定。在生物视觉和物理模型的基础上,探讨了计算机视觉的基本方法和途径。对板坯的进化计算、模式识别、生物视觉和表面缺陷检测等内容进行了研究。研制了一种高适应性、高精度、快速响应的计算机视觉系统。结果表明,进化计算方法形式多样,通用性强。因此,它可以应用于计算机视觉的许多方面,并且它的性能非常好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computer Vision Imaging Based on Artificial Intelligence
In order to study artificial intelligence-based computer vision imaging, computer technology was used to efficiently and accurately obtain relevant information from environmental images or videos. Things and phenomena in the objective world were analyzed, judged, and decided. Based on biological vision and physical models, the basic methods and approaches of computer vision were explored. The contents of evolutionary calculations, pattern recognition, biological vision, and surface defects detection of slabs were studied. A computer vision system with high adaptability, high accuracy, and rapid response was developed. The results showed that the evolutionary calculation methods were diverse in form and versatile. Therefore, it can be applied in many aspects of computer vision, and its performance is very good.
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