Abstract For years, researchers have been studying computer vision, i.e. the ability of artificial intelligence (AI) systems to perceive and interpret visual data like humans. This study is gaining increasing attention as researchers aim to develop tools that automate visual tasks and replicate human visual awareness. However, the interpretation of images is very complex due to the vast amount of multi-resolution information they contain, making the development of AI technologies for visual recognition particularly challenging. This article provides an overview of digital image processing, highlighting the main concepts and introducing key algorithms. These methods are designed to capture, process, and interpret digital images and enable the extraction of important data from real-world environments. We conduct rigorous image processing tests and compare AI-driven recognition systems with human analysis. The results show that computer vision technology significantly outperforms human observation in terms of accuracy and consistency. These results highlight the potential of computer vision to revolutionize various industries by automating complex visual tasks and offer promising future applications in areas such as healthcare, security, and manufacturing. The paper provides valuable insights into current advances in digital image processing and the role of AI in improving visual recognition capabilities, paving the way for further innovation in this area.

V Bharathi

N A Natraj

S Gopinath

R Kiruthikaa

Measurement Science Review

- 测量理论 - 测量数据的数学处理 - 测量不确定性最小化 - 数据评估和建模中的统计方法 - 作为跨学科活动的测量 - 教育中的测量科学 - 医学成像方法、图像处理 - 生物信号测量、处理和分析 - 基于模型生物测量 -​​ 生物测量中的神经网络 - 生物医学中的遥测 - 纳米医学中的测量 - 基本物理量的测量 - 磁场和电场测量 - 几何和机械量的测量 - 光学测量方法 - 电磁兼容性 - 材料科学中的测量

Measurement Science Review covers the following topics: measurement theory, mathematical processing of measurement data, minimization of measurement uncertainty, statistical methods in data evaluation and modeling, interdisciplinary measurement activities, measurement science in education, medical imaging methods and image processing, measurement, processing, and analysis of biological signals, model-based biometrics, neural networks in biometrics, telemetry in biomedicine, measurement in nanomedicine, measurement of fundamental physical quantities, measurement of magnetic and electric fields, measurement of geometric and mechanical quantities, optical measurement methods, electromagnetic compatibility, and measurement in materials science.

测量科学评论（Measurement Science Review）涵盖以下主题：测量理论、测量数据的数学处理、测量不确定性的最小化、数据评估和建模中的统计方法、跨学科的测量活动、教育中的测量科学、医学成像方法与图像处理、生物信号的测量、处理与分析、基于模型的生物测量、生物测量中的神经网络、医学中的遥测、纳米医学中的测量、基本物理量的测量、磁场和电场的测量、几何和机械量的测量、光学测量方法、电磁兼容性以及材料科学中的测量。

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工程技术	4
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Advanced Computer Vision Techniques for Accurate Measurement in Unmanned Mobile Robots

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INSTRUMENTS & INSTRUMENTATION	4