Enhancing the Image Pre-Processing for Large Fleets Based on a Fuzzy Approach to Handle Multiple Resolutions

Q1 Mathematics

Applied Sciences Pub Date : 2024-09-13 DOI:10.3390/app14188254

Ching-Yun Mu, Pin Kung

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引用次数: 0

Abstract

Image pre-processing is crucial for large fleet management. Many traffic videos are collected by closed-circuit television (CCTV), which has a fixed area monitoring for image analysis. This paper adopts the front camera installed in large vehicles to obtain moving traffic images, whereas CCTV is more limited. In practice, fleets often install cameras with different resolutions due to cost considerations. The cameras evaluate the front images with traffic lights. This paper proposes fuzzy enhancement with RGB and CIELAB conversions to handle multiple resolutions. This study provided image pre-processing adjustment comparisons, enabling further model training and analysis. This paper proposed fuzzy enhancement to deal with multiple resolutions. The fuzzy enhancement and fuzzy with brightness adjustment produced images with lower MSE and higher PSNR for the images of the front view. Fuzzy enhancement can also be used to enhance traffic light image adjustments. Moreover, this study employed You Only Look Once Version 9 (YOLOv9) for model training. YOLOv9 with fuzzy enhancement obtained better detection performance. This fuzzy enhancement made more flexible adjustments for pre-processing tasks and provided guidance for fleet managers to perform consistent image-enhancement adjustments for handling multiple resolutions.

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基于处理多分辨率的模糊方法加强大型车队的图像预处理

图像预处理对于大型车队管理至关重要。许多交通视频都是通过闭路电视（CCTV）采集的，它有一个固定的区域监控来进行图像分析。本文采用安装在大型车辆上的前置摄像头来获取移动的交通图像，而闭路电视的局限性较大。在实际应用中，出于成本考虑，车队通常会安装不同分辨率的摄像头。这些摄像头通过交通信号灯对前方图像进行评估。本文提出使用 RGB 和 CIELAB 转换进行模糊增强，以处理多种分辨率。本研究提供了图像预处理调整比较，以便进一步进行模型训练和分析。本文提出了处理多种分辨率的模糊增强技术。模糊增强和带有亮度调整的模糊处理所生成的图像，正面图像的 MSE 更低，PSNR 更高。模糊增强还可用于交通灯图像的增强调整。此外，本研究还采用了 You Only Look Once Version 9（YOLOv9）进行模型训练。经过模糊增强的 YOLOv9 获得了更好的检测性能。这种模糊增强技术为预处理任务提供了更灵活的调整，并为车队管理人员在处理多种分辨率时执行一致的图像增强调整提供了指导。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Applied Sciences Mathematics-Applied Mathematics

CiteScore

6.40

自引率

0.00%

发文量

审稿时长

11 weeks

期刊介绍： APPS is an international journal. APPS covers a wide spectrum of pure and applied mathematics in science and technology, promoting especially papers presented at Carpato-Balkan meetings. The Editorial Board of APPS takes a very active role in selecting and refereeing papers, ensuring the best quality of contemporary mathematics and its applications. APPS is abstracted in Zentralblatt für Mathematik. The APPS journal uses Double blind peer review.