检索结果-内蒙古大学图书馆

ENGINEERING RESEARCH EXPRESS 2025年第2期7卷

作者： Zhang, Xinghua Heilongjiang Polytech Harbin 150080 Peoples R China

With the increasing level of modern computer technology and the rapid development of artificial intelligence, various industries have begun to adopt intelligent devices in large quantities to reduce the waste of human resources. In the field of garbage disposal, sweepers use image acquisition devices to obtain street and road images, and recognize and detect street garbage through image information. The 'You Only Look Once' (YOLO) algorithm is used to deploy and optimize the garbage recognition and detection software. The results showed that in the brightness balanced scene, the research method had a grayscale mean of 2108, with a slightly lower proportion of poorly exposed pixels at 6.7 parts per thousand. By reducing the exposure time, the grayscale mean was lowered to 1978, significantly reducing the proportion of poorly exposed pixels to 12.7%. For high contrast scenes, this research method faced a high exposure pixel ratio of 146.8 parts per thousand, which was 146.8 parts per thousand of the saturation threshold. It increased the gray mean to 1748 and greatly reduced the proportion of poorly exposed pixels to an extremely low level. After single frame calculation, the research method time increased to 1.643 ms, and after stabilization, the research method time was 1.886 ms, with a distance ratio of only 12.2%, which was more stable. Compared with the YOLO real-time garbage detection method, the YOLOv5s+TensorRT proposed in this study could detect garbage in near real time on low-cost embedded devices in terms of FPS or inference speed, with the YOLO real-time garbage detection method exceeding 32fps. In terms of accuracy, YOLOv5+TensorRT optimization could maintain a good accuracy of 99%, and had certain advantages in comprehensive performance, making it easier to promote and apply in practical applications. It can be seen that the methods proposed in the study have solved the limitations of traditional garbage cleaning methods, improved the efficiency and qua

关键词： region segmentation algorithm YOLO algorithm street garbage identification detection software

来源：评论

学校读者我要写书评

暂无评论

Research of Ticket Detection and Correction algorithm Based on regional segmentation

Research of Ticket Detection and Correction Algorithm Based ...

引用

2018 International Conference on Computational Science and Engineering(ICCSE 2018)

作者： Haicheng Wei Mingxia Xiao Yajie Xu Na Ta School of Electrical and Information Engineering North Minzu University

In order to solve the problem of low speed and accuracy during the ticket image information recognition, which is due to uncertain direction of ticket image, a new algorithm based on region segmentation was proposed to detect and correct the ticket image direction in this paper. In the algorithm, based on the analysis of ticket image, divide the ticket image split into subregions and demarcate it, combine with the histogram statistics of the calibrated region, then find out the difference of eigenvalues between different calibrated regions, determine the direction of the calibrated region, and judge the direction of the ticket image. On this basis, the image geometric transformation is used to correct the direction of the ticket image. The experimental results show that the correct rectification rate of the algorithm is 98.02%, and the algorithm is simple and easy to hardware implementation. It can improve the efficiency of the ticket recognition algorithm.

关键词： train ticket images region segmentation algorithm histogram statistics direction detection and correction algorithm

来源：评论

学校读者我要写书评

暂无评论

Research on an Identification Method of Intelligent vehicle Based on Game Theory

Research on an Identification Method of Intelligent vehicle ...

引用

2017 International Conference on Modern Computer Science and Applications(MCSA 2017)

作者： Kaisheng Zhang Dean's Office of Shaanxi Fashion Engineering University

In order to solve the problem of the vehicle body color extraction and recognition,this paper presents an identification method of the intelligent *** the system,the red and the white paper shells are used as the body of the intelligent vehicle independently to distinguish both *** the same time,the existing image segmentation method had been *** the condition of the unique main image color obtained by image sensor,an improved segmentation algorithm for image color extraction and recognition was proposed for the drawbacks of the existing algorithms,and experiment simulation was conducted by MATLAB *** simulation results reveal that the algorithm not only can effectively extract and identify the body color of the intelligent vehicle,but also greatly improve the speed of the computer.

关键词： intelligent game vehicle identification region segmentation algorithm color recognition

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：