The Denoising Study Of Data Points Based On Wavelet Analysis

With the developing of computer graphics and scan technique,the model of data points is becoming more and more important.The geometry information and surface attribute are involved in the model of data points,so the database and method of computing are predigested primely.In the thesis,the denoising of data points is studied.In the process of collecting data points,owning to a few of unavoidable factors that comes from instruments and the environment,the errors are inevitable.The noise points which distort the true data will bring a lot of disadvantage to the work of data collecting and projecting.Therefore the noise points must be wiped off before the project.When the noise points are got rid of,the original model of data points,which contains useful information,can be constructed primely.The effect of data constructing will affect the subsequent work of identifying, analyzing and diagnosing.The task of this thesis is an application of reverse engineering.The wavelet theory is used in the process of the work of denoising.The wavelet theory was produced in 1970s. Since then this theory has been reformed continuously.The applications of wavelet are combined with the wavelet theory.Nowadays the applications of wavelet have taken tremendous success in the field of information industry.For instance,the field of engineering,which include computer vision,computer graphics,curve design,onflow technology,long-distance universe study,biomedicine and so on,has developed enormously.Especially,the computer graphics and signal processing have been already the important components of modern technology,the purpose of signal processing is analyzing accurately,diagnosing,coding,transferring rapidly,storage and resuming accurately.From the view of mathematics,the management of computer image and signal can boil down to signal processing(because the computer image can be seen as planar signal).Furthermore other applications of wavelet could be also considered to be signal processing.In view of a good many advantages,the wavelet method is used in this paper.The main study results of this thesis are summarized as follows:1.Obtaining the data points of an experimental model by a special method of collecting data.2.A delamination method is put forward,and the delamination methods of data points are discussed.A feasible delamination method is put forward by comparing several common ways,and the feasibility of the new method is demonstrated in this paper.3.Transform the three-dimensional coordinates to planar coordinates.This step is the precondition of denoise work.4.Study the wavelet theory and the multi-resolution analysis.5.Analyze the planar data with wavelet method that is learned at the fore.6.Construct the entity with the new points cloud.