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Shaft parts based on image processing size detection technology and its accuracy analysis of Huang Jiexian Abstract: According to incomplete statistics, China's annual production of shaft parts in the total amount of about 1 billion pieces, the need to measure the size of about 70%. At present, many domestic manufacturing industry on the size of the parts detection, its detection work is still stuck in pure artificial vision or artificial vision and mechanical gauges, optical instruments combined with manual sampling of products at the stage [1]. Manual inspection often exists: low efficiency, poor reliability, detection accuracy is not high, high cost, error-prone drawbacks. It is no longer suitable for the requirements of the development of modern industrial enterprises. The use of image-based detection of size detection method, not only can avoid the shortcomings of manual detection, but also to achieve the processing parts online, fast, accurate and non-contact automated detection, and the current research work based on CCD on shaft parts detection, there is still a detection accuracy is not high. Detection data is not stable enough and other issues. This research topic combined with the development trend of the discipline and practical application needs, in reference to a large number of literature and analysis of the industrial field of CCD data acquisition system, based on the focus on the research of image processing based on the size of the shaft parts of high-precision detection technology, this paper is mainly carried out in the following areas of work: (1) the use of Prewitt operator to complete the preliminary positioning of the edge of the image, on the basis of the image of the On this basis, through the discrete value of the gray scale of the edge of the discrete value of the least squares curve fitting, and the fitting curve for the extreme value, to get the exact location of the edge (2) In order to reduce the interference on the measured value of the impact of the error data processing method to screen out a certain degree of accuracy of the detection data, and then the average of these detection data, to obtain a stable detection data. (3) For the line array CCD in the process of high-precision detection, due to the lens aberration and other reasons for error problems, proposed a known multi-size shaft parts as a reference, the establishment of error aberration correction model, the detection value of aberration correction, the realization of high-precision detection Keywords: line array CCD, image processing, least-squares curve fitting, error theory, aberration correction

Degree-granting unit: Guangdong University of Technology

Degree-granting unit: Guangdong University of Technology

Degree-granting unit: Guangdong University of Technology

Degree-granting unit: Guangdong University of Technology

Degree Level: Master

Year of Degree Conferment: 2008

Classification Number: TP391.41

DOI: CNKI:CDMD:2.2008.083647

Table of Contents: Abstract4-5Abstract5-6Table of Contents6-9Content9- 12 Chapter 1 Introduction12-161.1 The significance of the subject research12-131.1.1 The importance of measurement technology121.1.2 The current situation of domestic measurement technology and its drawbacks12-131.1.3 The significance of the subject research131.2 The current research situation of the dimensional inspection technology of shaft parts based on image processing and its development trend13-151.2.1 The domestic situation13- 141.2.2 Overseas situation 141.2.3 Domestic and foreign trends based on the development of CCD dimensional inspection technology 14-151.3 The main research content of the thesis 151.4 Summary of this chapter 15-16 Chapter II Image Measurement System Hardware Design 16-222.1 System Composition 162.2 Precision Mechanical Displacement Scanning Control System 16-172.3 Line Array CCD Camera 17- 182.4 Optical Lighting System18-192.5 Image Acquisition System19-202.6 Design of Clamping Table202.7 Computer and Processing Software20-212.8 Summary of this Chapter21-22 Chapter 3 Precise Positioning of Edges of Shaft Parts Based on Image Processing22-343.1 Principle of Image Processing22-253.1.1 Purpose of Digital Image Processing223.1 .2 The main research contents of digital image processing22-243.1.3 Advantages of digital image processing24-253.2 Edge detection of shaft part edges25-273.3 Accurate positioning of part edges27-333.3.1 Concept of least squares curve fitting27-303.3.2 Least squares curve fitting with polynomials30-313.3.3 Based on the Curve Fitting for Precise Edge Positioning31-333.4 Subsections of this Chapter33-34 Chapter 4: Error Data Processing34-424.1 One-Dimensional Normal Distribution34-364.2 Regularity of Chance Errors36-394.2.1 Chance Errors36-374.2.2 Analysis of Chance Errors37-394.3 Error Processing of Edge Detection Data39-414.4 Summary of this Chapter41 -Chapter 5 Aberration Correction 42-495.1 Aberration Generation 425.2 Basic Principles of Aberration Correction 42-435.3 Specific Methods of Aberration Correction 43-465.3.1 Detecting the Edges of Reference Images 43-455.3.2 Establishment of Aberration Compensation Functions 45-465.4 Examining the Aberration Correction Functions 465.5 Examining the Results of the Experiments 46-485.6 This Chapter Chapter 6 Software Design 49-526.1 Software Design 496.2 Interface Design and Function Description 49-516.3 Summary of this Chapter 51-52 Chapter 7 Dimensional Inspection Experimental Results and Data Analysis 52-567.1 Multi-Step Axis Measurement Results 52-547.1.1 Measurement Data 52-547.1.2 Measurement Result Analysis 547.2 Error and Accuracy Analysis54-557.3 Summary of the Chapter55-56 Summary and Outlook56-58 References58-61 Papers published during the study of the degree61-62 Acknowledgements62 Download full text More similar papers Full text in CAJ format (How to get the full text? Welcome: Buy Knowledge Card, Online Consultation) CAJViewer reader supports CAJ,PDF file format