Image detection and parameterization for different components in cross-sections of radial tires

2021 ◽  
pp. 095440702110236
Author(s):  
Chen Liu ◽  
Yude Dong ◽  
Yanli Wei ◽  
Jiangtao Wang ◽  
Hongling Li
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Cross Sections ◽  
Digital Image ◽  
Detection Method ◽  
Detection System ◽  
Practical Significance ◽  
Vehicle Safety ◽  
Wire Steel ◽  
Good Detection

The internal structure analysis of radial tires is of great significance to improve vehicle safety and during tire research. In order to perform the digital analysis and detection of the internal composition in radial tire cross-sections, a detection method based on digital image processing was proposed. The research was carried out as follows: (a) the distribution detection and parametric analysis of the bead wire, steel belt, and carcass in the tire section were performed by means of digital image processing, connected domain extraction, and Hough transform; (b) using the angle of location distribution and area relationship, the detection data were optimized through coordinate and quantity relationship constraints; (c) a detection system for tire cross-section components was designed using the MATLAB platform. Our experimental results showed that this method displayed a good detection performance, and important practical significance for the research and manufacture of tires.

scholarly journals Eye Detection System Based on Image Processing for Vehicle Safety

2020 ◽  
Vol 19 (01) ◽  
pp. 11-22
Author(s):  
Almira Budiyanto ◽  
Abdul Manan ◽  
Elvira Sukma Wahyuni
Keyword(s):  
Image Processing ◽  
Light Intensity ◽  
Digital Image Processing ◽  
Traffic Accidents ◽  
Detection System ◽  
High Accuracy ◽  
Vehicle Safety ◽  
Eye Detection ◽  
Eye Blinks ◽  
The Face

The more advanced the technology and the greater the community's need to carry out activities every day, the number of vehicles on the highway is getting crowded. From year to year, the greater the level of traffic accidents caused by many factors, among the usual reasons is the loss of awareness of the driver when driving a vehicle especially drowsiness. One of the drowsiness parameters is the frequency eye blinks. Therefore, to get the drowsiness symptoms, the purpose of this research is to detect the eye blinks, which in turn reduce the level of accidents by detecting sleepy eyes based on digital image processing. The method used to detect both eyes is the Viola-Jones method. The detection of both eyes can also acquire the duration of closed eyes and the number of eye blinks. A person can be said to be sleepy by means of sleepiness parameters determined by a study. The research shows that detection of eye blinks using the Viola-Jones method has a fairly high accuracy of up to 84.72% if the face condition is upright and tilted no more than 45 degrees. Another conclusion is that eye detection and driver detection are more effective at certain light intensity values which are around 2-33 lux.

Research on Image Processing Method of Train Wheel

2014 ◽  
Vol 487 ◽  
pp. 699-701
Author(s):  
Fang Li ◽  
Wan Tao Li
Keyword(s):  
Image Processing ◽  
Edge Detection ◽  
Digital Image Processing ◽  
Digital Image ◽  
Detection Method ◽  
Processing Method ◽  
Wheel Surface ◽  
Filtering Method ◽  
Edge Detection Method ◽  
Detection Speed

In order to improve the detection precision and speed of train wheel image,it is necessary to research digital image processing technology.In this paper,a kind of appropriate image filtering method,combination of smoothing and sharpening,and a kind of appropriate edge detection method,combination directly and by column in binarization,were introduced.A clear image of wheel surface can be obtained.The method of detection of scratch was designed.Non-contact measurement of train wheel surface quality can be realized,it will lead to the detection speed is faster, accuracy is higher.

Hydraulic Focusing Stability Detection Method Study Based on Digital Image Processing Technology

2012 ◽  
Vol 591-593 ◽  
pp. 1839-1843
Author(s):  
Lu Xiao ◽  
Lu Zhang ◽  
Hong Zhao ◽  
Wei Chen ◽  
Li Yuan
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Experimental Error ◽  
Detection Method ◽  
Processing Technology ◽  
Image Process ◽  
Process Technology ◽  
Good Reliability ◽  
Image Processing Technology

Hydraulic focusing technology is an important method in many researches about particles. But there is no reported direct real-time detection method to survey its stability. A novel and high resolution method is put forward, which is based on digital image processing technology to detect hydraulic focusing stability. And five parameters are designed to assess its stable performance. A set of experiments is implemented with different sample and buffer hydraulic focusing forming velocities, and the results and experimental error are discussed seriously. The conclusion can be drawn by the final experimental error analysis which is less than during all the detection course. It can be proved that this hydraulic focusing stability detection method based on digital image process technology has the advantages of the excellent precision, the fast processing speed and the good reliability.

scholarly journals PERANCANGAN SISTEM SORTING BUAH JERUK MANIS BERBASIS PERBEDAAN WARNA KULIT BUAH

Heuristic ◽  
2016 ◽  
Vol 12 (02) ◽  
Author(s):  
Edi Kurniawan
Keyword(s):  
Image Processing ◽  
Edge Detection ◽  
Digital Image Processing ◽  
Digital Image ◽  
Detection Method ◽  
Citrus Fruit ◽  
Citrus Fruits ◽  
Maturity Level ◽  
Edge Detection Method ◽  
Orange Color

Almost all farmers use manual way to identify the level of maturity of oranges in doing the sorting. Identifying using the manual method has some drawbacks, namely the level of accuracy and farmers have already experience. With advances in technology now, sort of citrus fruits is based on the level of maturity can be done using digital image processing. Many digital image processing method one of them is the edge detection method. Edge detection method is used to determine the borders of an object. This study uses edge detection method to determine the extent of the orange color of the peel of citrus fruits because one of the characteristics of citrus fruit maturity level is how dominate the area of orange color on its peel. The results showed that with 10 oranges with a different maturity level, the system can determine it exactly. The average time required by the system to determine the level of maturity of citrus fruits is 0.6 secondsKeywords : citrus maturity, digital image processing, edge detection

scholarly journals Anomaly Detection System Using Digital Image Processing For The Indian Railways

2021 ◽  
pp. 186-190
Author(s):  
Sharmista Shastry ◽  
Amartya Anshuman ◽  
Vedant Tibrewal ◽  
Yogesh Kumar Choukiker
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Detection System ◽  
Cost Effective ◽  
Daily Basis ◽  
Economic Life ◽  
Railway Network ◽  
Loss Of Life ◽  
Railway Tracks

The Indian Railways are the lifeline of India's transport system. Being the fourth largest railway network in the world, it covers the length and breadth of the country. In 2018-19, 23.12 million people and 3.36 million metric tons of freight depended on the railways on a daily basis. They bind the economic life of the country and foster the development of industry and agriculture. However, poor maintenance of the railway tracks has caused several accidents over the years. Derailments due to the presence of faults in railway tracks cause heavy loss of life and railway property. Therefore, timely detection and analysis of these cracks is of utmost importance. This proposal aims at providing a cost effective solution to the problem of fault detection in railway tracks using digital image processing.

Dyed banknotes detection system using digital: Image processing

2015 ◽  
Author(s):  
Gabriel Penalber ◽  
Luiz E. S. e Silva ◽  
Kenny V. dos Santos ◽  
S. S. Waldir ◽  
Wheidima C. Melo
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Detection System

scholarly journals Digital image processing for aggregate orientation in asphalt concrete mixtures

1996 ◽  
Vol 23 (2) ◽  
pp. 480-489 ◽  
Author(s):  
Zhong Qi Yue ◽  
Isabelle Morin
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Cross Sections ◽  
Digital Image ◽  
Asphalt Concrete ◽  
Fine Particles ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Concrete Mixtures ◽  
Aggregate Particles

Asphalt concrete is a composite material which consists of asphalt cement, voids, fine particles, sand, and coarse aggregates. Previous investigations of asphalt concrete mixtures have mainly concentrated on the macroscopic properties of the composite materials based on the assumption that the mixtures are homogeneous and isotropic. This paper applies an innovative digital image processing technique to quantify the orientations of coarse aggregate particles (≥ 2 mm) in asphalt concrete mixtures such as hot mix asphalt, stone matrix asphalt, and large stone asphalt compacted in the laboratory or field. The results indicate quantitatively that asphalt concrete specimens compacted in the field or in the laboratory with gyratory compactor have an oriented structure of aggregate particle distribution where the major cross sections of aggregate particles have the tendency to lie horizontally, and that aggregate particles are more randomly oriented in the asphalt concrete specimens compacted in the laboratory with the Marshall compactor. Key words: asphalt concrete mixtures, digital image processing, microstructure, aggregate orientation, anisotropy, compaction methods.

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