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The Boundary Detection of Image Edge Based on Wavelet Transform

Author: XingShangYing
Tutor: LiLuMing
School: Chengdu University of Technology
Course: Signal and Information Processing
Keywords: wavelet transform boundary detection adaptive threshold Bayesian estimation
CLC: TP391.41
Type: Master's thesis
Year: 2013
Downloads: 107
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Abstract


The boundary detection of digital image is not only the important foundation inthe field of image segmentation and target area identification and area shapeextraction,but also an important method which extract image feature in imagerecognition.Right now,there are a lot of algorithms in the field of edge detection,butthese algorithms also have a lot of shotucuts,sometimes,they are not very effective tocheck the boundary of the digital image.Wavelet transform has a good localizationcharacteristic in the time domain and frequency domain and multi-scalefeatures,So,the boundary detection of digital image by using multi-scale wavelet cannot only get a good ability to suppress noise, but also to maintain the completeness ofthe edge.The principle of boundary detection based on wavelet transform is a smoothingfunction, the signals detected in different scales smooth. To identify mutations byonce or twice differential. Detect the boundary based on the extremum of thewavelet transform coefficients when the selected wavelet function is equal to thefirst-order differential of the smoothing function.Do the wavelet transform whichchoose the first-order-countdown of the smoothing function as the mother wavelet,themodulus maxima of wavelet transform at each scale correspond to the SignalSingularity.This thwsis’s objectives are the detections of the image boundary,I research thetraditional boundary detection methods and wavelet transform method,the prime ofthe thwsis is as follows:1) Introduce the basic concepts and principles of several traditional imageboundary detection algorithm systemly, simulat the results by using MATLABsoftware,analyze and summarize the advantages and disadvantages of each algorithm. 2) Elaborate the basic principles of the wavelet transform and the using inimage boundary detection, given the detailed steps of the multi-scale boundarydetection.Do the boundary detection by using wavelet modulus maxima algorithm,simulat the result by using MATLAB software,compared with the traditionalboundary detection algorithm, reflect the superiority of the wavelet algorithm.3) Introduce several common time-domain and frequency-domain smoothingmethods, expound the principle and method which combined with Bayesian thedenoising theory and wavelet transform,and try out this algorithm.Achieve imageboundary detection by combining this algorithm and the algorithm of waveletmodulus maximum.

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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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