Research on Rail Surface Defect Inspection System

2012 ◽  
Vol 229-231 ◽  
pp. 1389-1393
Author(s):  
Yu Hu ◽  
Jian Xu Mao ◽  
Jian Pin Mao
Keyword(s):  
High Speed ◽  
Surface Defect ◽  
Surface Defects ◽  
Imaging System ◽  
Detection System ◽  
Inspection System ◽  
System Control ◽  
Visual Imaging ◽  
Automatic Detection System ◽  
Rail Surface Defect

In order to realize the inspection of rail surface defects with high speed and high precision, an automatic detection system based on machine vision is presented. The hardware structure of the system consists of the mechanical system, control system and visual imaging system. The software structure using histogram threshold segmentation, multi-structural morphological edge detection and other image processing methods to detect and identify defects automatically, and also built the simulation rail detection platform. The experimental results show that the cracks, scars and other detects can be accurately detected and extracted in real time, and meet the requirement of the rail surface inspection.

Design and Implementation of the Cold-Rolled Aluminum Plate Surface On-Line Defect Detection System

2013 ◽  
Vol 712-715 ◽  
pp. 2323-2326
Author(s):  
Xing Guang Qi ◽  
Hai Lun Zhang ◽  
Xiao Ting Li
Keyword(s):  
High Speed ◽  
Surface Defects ◽  
Detection System ◽  
Aluminum Plate ◽  
Gigabit Ethernet ◽  
Accurate Detection ◽  
High Processing Speed ◽  
Rolled Aluminum ◽  
On Line ◽  
Cold Rolled

This paper presents an on-line surface defects detection system based on machine vision, which has high speed architecture and can perform high accurate detection for cold-rolled aluminum plate. The system consists of high speed camera and industrial personal computer (IPC) array which connected through Gigabit Ethernet, achieved seamless detection by redundant control. In order to acquire high processing speed, single IPC as processor receives from and deals with only one or two cameras' image. Experimental results show that the system with high accurate detection capability can satisfy the requirement of real time detection and find out the defects on the production line effectively.

Research on Surface Defect Detection Technique of Rolling Element Based on Computer Vision

2014 ◽  
Vol 1006-1007 ◽  
pp. 773-778 ◽  
Author(s):  
Chuan Ren ◽  
Xiao Yu Xiu ◽  
Guo Hui Zhou
Keyword(s):  
Computer Vision ◽  
Defect Detection ◽  
High Speed ◽  
Surface Defect ◽  
Surface Defects ◽  
Median Filter ◽  
Image Sensor ◽  
Threshold Method ◽  
Rolling Element ◽  
Surface Defect Detection

This paper proposed a new method of surface defect detection of rolling element based on computer vision, which adopted CCD digital camera as image sensor, and used digital image processing techniques to defect the surface defects of rolling element. The main steps include collect image, use an improved median filter to reduce the noise, increase or decrease the exposure to achieve the image enhancement, create a binary image with threshold method and detect the edge of the image, and use subtraction method for surface defects identification. The experiment indicates that the above methods the advantages of simple, the capability of noise resistance, high speed processing and better real-time.

Recent Development of Equal Channel Angular Rolling (ECAR)

2010 ◽  
Vol 638-642 ◽  
pp. 1917-1922
Author(s):  
Young Hoon Chung
Keyword(s):  
Processing Speed ◽  
High Speed ◽  
Surface Defect ◽  
Surface Defects ◽  
Thin Sheet ◽  
Grain Structure ◽  
Shear Texture ◽  
Fine Grain ◽  
Plastic Deformation Process ◽  
Technical Control

Equal Channel Angular Rolling (ECAR), the severe plastic deformation process, is suitable for shear deforming long and thin sheet continuously. An interesting issue is that thickness of a sheet is not reduced during ECAR. Although shear texture and fine grain structure in Al alloys are easily obtained by ECAR, yet the ECAR process’s difficulties in terms of technical control still remain, such as surface defect, low ductility and low processing speed. The surface defects and processing speed are partially improved by applying a series deformation of rolling and ECAR. A high-speed solution heat-treatment is developed for restoring the ductility of Al 6061 alloy.

Surface defect detection for high-speed rails using an inverse P-M diffusion model

Sensor Review ◽  
2016 ◽  
Vol 36 (1) ◽  
pp. 86-97 ◽  
Author(s):  
Zhendong He ◽  
Yaonan Wang ◽  
Feng Yin ◽  
Jie Liu
Keyword(s):  
Diffusion Model ◽  
Defect Detection ◽  
High Speed ◽  
Surface Defect ◽  
Nearest Neighbor ◽  
Inspection System ◽  
Content Type ◽  
Difference Image ◽  
Vision Inspection ◽  
Surface Defect Detection

Purpose – When using a machine vision inspection system for rail surface defect detection, many complex factors such as illumination changes, reflection inequality, shadows, stains and rust might inevitably deform the scanned rail surface image. This paper aims to reduce the influence of these factors, a pipeline of image processing algorithms for robust defect detection is developed. Design/methodology/approach – First, a new inverse Perona-Malik (P-M) diffusion model is presented for image enhancement, which takes the reciprocal of gradient as feature to adjust the diffusion coefficients, and a distinct nearest-neighbor difference scheme is introduced to select proper defect boundaries during discretized implementation. As a result, the defect regions are sufficiently smoothened, whereas the faultless background remains unchanged. Then, by subtracting the diffused image from the original image, the defect features will be highlighted in the difference image. Subsequently, an adaptive threshold binarization, followed by an attribute opening like filter, can easily eliminate the noisy interferences and find out the desired defects. Findings – Using data from our developed inspection apparatus, the experiments show that the proposed method can attain a detection and measurement precisions as high as 93.6 and 85.9 per cent, respectively, while the recovery accuracy remains 93 per cent. Additionally, the proposed method is computationally efficient and can perform robustly even under complex environments. Originality/value – A pipeline of algorithms for rail surface detection is proposed. Particularly, an inverse P-M diffusion model with a distinct discretization scheme is introduced to enhance the defect boundaries and suppress noises. The performance of the proposed method has been verified with real images from our own developed system.

scholarly journals Micro Surface Defect Detection Method for Silicon Steel Strip Based on Saliency Convex Active Contour Model

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Kechen Song ◽  
Yunhui Yan
Keyword(s):  
Active Contour ◽  
Surface Defect ◽  
Surface Defects ◽  
Detection Method ◽  
Active Contour Model ◽  
Steel Strip ◽  
Silicon Steel ◽  
Inspection System ◽  
Contour Model ◽  
Cluttered Background

Accurate detection of surface defect is an indispensable section in steel surface inspection system. In order to detect the micro surface defect of silicon steel strip, a new detection method based on saliency convex active contour model is proposed. In the proposed method, visual saliency extraction is employed to suppress the clutter background for the purpose of highlighting the potential objects. The extracted saliency map is then exploited as a feature, which is fused into a convex energy minimization function of local-based active contour. Meanwhile, a numerical minimization algorithm is introduced to separate the micro surface defects from cluttered background. Experimental results demonstrate that the proposed method presents good performance for detecting micro surface defects including spot-defect and steel-pit-defect. Even in the cluttered background, the proposed method detects almost all of the microdefects without any false objects.

FLI Co-Simulation Applied and Realized in Rail Profile Automatic Detection System

2012 ◽  
Vol 443-444 ◽  
pp. 71-76
Author(s):  
Lei Chen ◽  
Xiao Yan Tian ◽  
Jiao Pang
Keyword(s):  
Image Processing ◽  
High Speed ◽  
Detection System ◽  
High Reliability ◽  
Processing System ◽  
Technical Solution ◽  
Image Processing System ◽  
Automatic Detection System ◽  
High Flexibility ◽  
High Speed Image Processing

High speed image processing has a dilemma of that software-based approach lock real-time property while hardware-based approach has high modeling complexity. In order to solve above problem, this paper adopted the technical solution of Modelsim co-simulation with foreign language interface (FLI). Co-simulation technology, combining with rail sections image processing system as simulation platform, comprehensive using C language’s high flexibility in data processing , Modelsim’s high reliability in simulate FPGA, and take use of dynamic partially allocation methods, heavy effectively reduced the complexity of image processing system and storage space. Practice proves, this means provide a reliable basis for scheme verification of FPGA image processing system.

Sign in / Sign up

Export Citation Format

Share Document