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The tiny permanent devices billet surface quality visual detection research

Author: YaoZuoZuo
Tutor: LiuFeiFei
School: Jiangxi University of Technology
Course: Mechanical and Electronic Engineering
Keywords: Tiny magnetic billet Visual inspection Edge detection operators Mathematical Morphology Random circular Hough transform Primitive recognition
CLC: TP274
Type: Master's thesis
Year: 2011
Downloads: 34
Quote: 0
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Abstract


NdFeB permanent magnet device production process by artificial detect tiny magnetic pieces of blank Dimensions and surface defects, the application of optical and electrical integration, and computer vision technology to study the size of the permanent magnet device blank visual surface defects detection technology and systems. First analyzed the feasibility of the detection of tiny magnetic pieces of blank Dimensions and demand as well as non-contact detection of surface defects; then reviewed previous studies of the surface feature detection methods and techniques, and sort out the technology of this article Solutions and programs. The the tiny magnetic billet Dimensions and surface defects visual inspection system overall program design, the system consists of an ordered arrangement of tiny magnetic billet conveying mechanism, the image of the surface to be measured online acquisition subsystem visual detection analysis determines subsystem, magnetic billet is The waste sorting institutions, as well as coordination of the various parts of the control subsystem. The orderly transfer was seized magnetic billet, automatic image acquisition, organic integration between the size and surface defect recognition calculation and positive waste sorting and non-contact automatic detection. Comprehensive analysis of the characteristics of the illumination light source, an optical lens, the camera and an image acquisition card, etc., to best determine the light source suitable for the image acquisition of the requirements of the image detection of minute magnetic member, the pixel value of the zoom magnification and camera lens, to ensure subsequent analysis Measuring the accuracy of calculation. Tiny magnetic pieces of blank surface visual detection Dimensions Measurement and identification of surface defects detection, detection effect addition to the influence of hardware performance and its matching parameters, the most critical factor is the on-line acquisition image processing and edge detection, recognition algorithm rationality and calculation accuracy. According to the requirements of the detection accuracy of the production site, the first to capture images denoising vanishing enhanced pre-treatment in the comparative analysis of the histogram method, threshold segmentation method based on information entropy and OTSU method, using a bimodal one valley histogram method to achieve the separation of the target and background; classic first-order analysis, the second-order differential detection operator: Roberts operator Log operators principle characteristic using mathematical morphology edge detection; study a Improved CHT randomized circle Hough transform algorithm used on edges of the image of the obtained measured parameter calculating primitive recognition its edge geometry element (circle), and then obtained by the calibration values ??of the system and the size of the magnetic billet parameters; construct a single connectivity enclosed area of ??the search algorithm for the identification of surface defects; defect region maximum / minimum length pole than the calculation of the characteristic parameters such as area, perimeter, and roundness, establish a positive waste classification rules, tiny magnetic pieces of blank a positive scrap discriminant with sorting. Edge detection, recognition algorithm MATLAB7.6 environment individually programmed and verified by test. Finally, VC preparation tiny magnetic billet image acquisition, preprocessing, segmentation, edge detection and pixel identification, size and defect calculation procedures, as well as control of the entire system, the system parameters and the man-machine interface software and integrated into one the formation of a \Use of the system and device manufacturers a number of permanent blank Dimension and testing of surface defects. The results showed that: This paper studies the edge detection, primitive recognition, defects in a single connectivity enclosed area search algorithm and its defects discriminant algorithm, a simple algorithm robustness, to meet the actual detection precision, accuracy and real-time requirements, visual inspection system designed to achieve the purpose of this research can be used for the production site in place of the stability of artificial non-contact detection of of permanent devices blanks Dimensions and surface defects detection and detection accuracy can meet production requirements .

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