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Research on Image Sub-pixel Detection Based on Wavelet Transform

Author: LouXunZhi
Tutor: HeTao
School: Hubei University of Technology
Course: Measuring Technology and Instruments
Keywords: Wavelet Transform Sub-pixel Edge Detection Piston Rings Whorl The method of least squares
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 85
Quote: 0
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Abstract


The wavelet transform has good time-frequency characteristics and the multi- resolution characteristics , has been widely used in the field of image processing . Dissertation wavelet transform image denoising with edge detection technology , as well as sub-pixel detection technology , expand the application of research and discussion . To sum up , the main work and the results obtained are as follows : (1 ) analysis of the traditional image filtering , edge detection theory and methods , and programming has been the traditional image filtering , edge detection , image processing effect diagram . ( 2) to explore the theory and algorithms of the wavelet transform , summarizes the common sub-pixel detection method focuses on the sub-pixel detection method of least squares fitting circle . (3) on the basis of the wavelet transform denoising and edge detection , on the edge of the piston rings extraction , piston ring width measurements , surface defect recognition , a simple and effective piston ring surface defect detection algorithm . (4 ) on the basis of the wavelet transform denoising and edge detection , detection of several indexes for the thread , the establishment of the defect discrimination model and propose a specific defect discrimination algorithm , a feasible and effective parameter measurement method . In this paper, the wavelet transform image sub-pixel detection techniques applied research to improve the detection accuracy of machine vision , reduce testing costs , and solve the online machine vision inspection problems facing the manufacturing site solution ideas and reference .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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