A Study of High-Precision Planar Calibration System with Subpixel Accuracy
| Autor: | Mon-Da Yang, 楊孟達 |
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| Rok vydání: | 2000 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 88 The calibration of a camera in automation industry and computer vision is an indispensable step when high precision vision is used as measuring instrument. To do this, one needs to localize the precise position with a maximum of accuracy for determining the movement of the testing pattern. A calibration system proposed in this thesis can support to obtain precise feature points of the testing pattern in the digital image. There are three major stages for this system: image preprocessing, reference points establishment, feature points extraction by using subpixel algorithm. In the preprocessing stage, some statistical techniques are used to obtain the incoming image from image sequence. Next, the reference coordinate is set up and the reference points are numbered. Finally, the proposed fuzzy subpixel operator which resists noise better and provides more precision resolution is used to extract the edge equation, then the location of feature points is estimated with subpixel accuracy. Experimental results are provided to demonstrate proposed scheme with good calibration rate, and the method can also be applied to estimate the precise position of the CCD sensor which is set up into the camera module correctly. 1.1 Surey 1.2 Motivation 1.3 Organization of the Thesis 2 Image Processing and Subpixel Precision Algorithm 2.1 Image Processing 2.1.1 Image Thresholding 2.1.2 Hough Transform 2.1.3 Median Filter 2.1.4 Run-Length Coding 2.2 Subpixel Precision Algorithm 2.2.1 One-Dimensional Edge Operator 2.2.2 Extension to Two-Dimensional Edge Patterns 2.3 Fuzzy Reasoning 3 High-Precision Technology Based on Subpixel Precision for Planar Calibration System 3.1 Statistical Preprocessing 3.2 Image Preprocessing 3.3 Reference Coordinate Establishment and Subpixel Equation Quotation 3.3.1 Reference Coordinate Establishment 3.3.2 Subpixel Equation Quotation 3.4 Information Extraction 3.4.1 One-Dimensional Fuzzy subpixel operator 3.4.2 Extension to Two-Dimensional Subpixel Operator 3.4.3 Estimation Subpixel Feature points 3.4.4 Extension of Subpixel Operator and Resistance of noise 4 Experimental Results 4.1 Experimental Environment 4.2 Experimental Results 5 Conclusions |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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