Distortion Calculation Method Based on Image Processing for Automobile Lateral Mirrors

失真(音乐) 稳健性(进化) 计算机科学 图像处理 计算机视觉 人工智能 图像质量 图像(数学) 电信 放大器 生物化学 化学 带宽(计算) 基因
作者
Carlos A. Paredes-Orta,Luis M. Valentín-Coronado,Arturo Díaz-Ponce,Juvenal Rodríguez‐Reséndiz,Jorge Domingo Mendiola-Santibañez
出处
期刊:Micromachines [Multidisciplinary Digital Publishing Institute]
卷期号:13 (3): 401-401 被引量:2
标识
DOI:10.3390/mi13030401
摘要

The automobile lateral-view mirrors are the most important visual support for driver safety; therefore, it is important they have robust quality control. Typically, the distortion of a lateral-view mirror is measured using the JIS-D-5705 standard; however, this methodology requires an expert person to perform the measurements and calculations manually, which can induce measurement errors. In this work, a semi-automatic distortion calculation method based on image processing is presented. Distortion calculations of five commercial mirrors from different manufacturers were performed, and a comparative study was carried out between the JIS-D-5705 standard and the proposed method. Experimental results performed according to the JIS-D-5705 standard showed that all mirrors have a distortion lower than 5%, indicating that all meet the standard. On the other hand, the proposed method was able to detect that one of the mirrors presented an important distortion, which was not detected by the methodology proposed in the standard; therefore, that mirror should not meet the standard. Then, it was possible to conclude that the proposed distortion calculation method, based on image processing, has higher robustness and precision than the standard. In addition, an appropriate and effective behavior against changes in scale, resolution, and, unlike the standard, against changes in image rotation was also shown.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
飞云完成签到 ,获得积分10
1秒前
王平安完成签到 ,获得积分10
4秒前
FFFFF完成签到 ,获得积分0
5秒前
源孤律醒完成签到 ,获得积分10
7秒前
CY完成签到,获得积分10
19秒前
晨纯完成签到 ,获得积分10
21秒前
是榤啊完成签到 ,获得积分10
26秒前
dungaway完成签到,获得积分10
30秒前
Ttimer完成签到,获得积分10
33秒前
caoxiongfeng_512完成签到,获得积分10
34秒前
拂晓完成签到,获得积分10
35秒前
40秒前
45秒前
飞龙在天完成签到,获得积分0
46秒前
49秒前
淡然雪枫完成签到,获得积分10
53秒前
俞俊敏发布了新的文献求助10
55秒前
xixi完成签到 ,获得积分10
55秒前
上好佳完成签到,获得积分10
55秒前
王哇噻完成签到 ,获得积分10
58秒前
阳光的Kelly完成签到 ,获得积分10
58秒前
sudeep完成签到,获得积分10
59秒前
乐乐呀完成签到 ,获得积分10
1分钟前
机智的孤兰完成签到 ,获得积分10
1分钟前
isedu完成签到,获得积分0
1分钟前
racill完成签到 ,获得积分10
1分钟前
所所应助科研通管家采纳,获得10
1分钟前
mengmenglv完成签到 ,获得积分0
1分钟前
cjl完成签到 ,获得积分10
1分钟前
危机的秋双完成签到 ,获得积分10
1分钟前
Demi_Ming完成签到,获得积分10
1分钟前
梨落南山雪完成签到 ,获得积分10
1分钟前
wulala完成签到 ,获得积分10
1分钟前
Young完成签到 ,获得积分10
2分钟前
一辉完成签到 ,获得积分10
2分钟前
lu7完成签到 ,获得积分10
2分钟前
tinneywu完成签到 ,获得积分10
2分钟前
2分钟前
wkbenpao完成签到,获得积分10
2分钟前
wsx4321发布了新的文献求助10
2分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6362250
求助须知:如何正确求助?哪些是违规求助? 8175899
关于积分的说明 17224379
捐赠科研通 5416933
什么是DOI,文献DOI怎么找? 2866654
邀请新用户注册赠送积分活动 1843775
关于科研通互助平台的介绍 1691562