Recognition and Extraction of Debris Parameters in Traffic Accident Picture

2013 ◽  
Vol 572 ◽  
pp. 570-573
Author(s):  
Xue Jing Du ◽  
Huan Huan Guo

In order to obtain characteristic parameters of the debris from accident pictures for traffic accident reconstruction, MATLAB image processing technology was applied to deal with accident pictures such as grayscale transformation, binarization, noise reduction and segmentation. According to the proportional relationship obtained by camera calibration between pixel and the actual size, the diameter of sphere debris, the length and width of rectangular debris were achieved. The error calculated by comparing extraction parameters of accident picture with real size is within 5%.

2016 ◽  
Vol 28 (1) ◽  
pp. 71-79
Author(s):  
Tomáš Coufal ◽  
Marek Semela

The paper presents complete results of the head-on small overlap crash test of vehicle with driver moving at a speed of approximately 12 m/s against stationary vehicle with post-crash rollover. When a crash does not involve the main crush-zone structures, the occupant compartment is not well protected. The emphasis in the paper was put on determination and presentation of crash parameters for the application in traffic accident analyses and for simulation with the help of software for accident reconstruction. The experimentally measured data from the crash test were analysed and important crash parameters which are necessary for accident reconstruction were obtained. The crash test was specific because of rollover of the impacting vehicle resulting from small overlap. The results have shown that small overlap accident is extremely dangerous for the crew with the possibility of vehicle rollover and occupant head and neck injury. Also in this case, at relative low speed, the driver suffered light neck and head injury in the following days and the longitudinal damage was relatively large. The input parameters for accident reconstruction software as the result of performed crash test were gained.


1982 ◽  
Vol 64 ◽  
pp. 109-110
Author(s):  
A. Bijaoui

During the last decenny, Digital Image Processing (D.I.P.) has been introduced in astronomical studies to allow the information extraction.In a first step, D.I.P. has been used essentially to provide enhanced images (noise reduction, deconvolution, contrast enhancement), to reduce geometrical or photometrical distorsions and to extract rough data. So, a few reference date are needed (some comparison lines for example).


Materials ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 4706
Author(s):  
Yu Cao ◽  
Xiaofei Wang ◽  
Xu Yan ◽  
Chuanbao Jia ◽  
Jinqiang Gao

In one-side welding with back-formation, the weld is penetrated after the fusion hole is perforated. Therefore, judging whether the fusion hole is perforated is very important to realize autocontrol of penetration in one-side welding with back-formation process. Previous researches mainly focused on the morphological characteristics of the molten pool and fusion hole to judge the weld penetration state. Sometimes it is difficult to obtain the morphological characteristics of the molten pool, keyhole and fusion hole and image processing is complex. In this paper, a visual detection system of fusion holes based on visual sensing is constructed to obtain the real-time fusion hole images in backing welding. It is found that the arc characteristics in the front images contain abundant information about the perforation of fusion hole. An image processing program is developed based on MATLAB software, and the arc characteristic parameters in front images are obtained. Taking the arc characteristic parameters as the input, obtaining the penalty function and the kernel function parameters through the cross validation and grid search method, a prediction model of fusion hole perforation based on the support vector machine is put forward. The accuracy for prediction samples is 88%. By analyzing the misidentified samples, it is found that some of the newly perforated images are predicted as nonperforated ones, which has little influence on the penetration control of the weld.


2012 ◽  
Vol 220-223 ◽  
pp. 1350-1355
Author(s):  
Long Zhang ◽  
Jian Jun Yang ◽  
Jun Zhang

Model ice-shape measurement is an essential part in the icing test in wind tunnel. The principle investigation of camera calibration and image processing technology based on OpenCV library which apply to ice-shape measurement in wind tunnel is presented in this paper. A kind of software with perfect function and good reproducibility was successfully developed. Ice-shape measurement test was conducted in wind tunnel and the application of OpenCV library in image post-processing was proved to be practical. This program can also be effectively used in aero-optics research, model attitude measurement and model deformation measurement in wind tunnel.


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