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Based on the timing of the vector graphics image processing technology research and practice

Author: ZhangBaoYin
Tutor: QianZengBo
School: PLA Information Engineering University
Course: Photogrammetry and Remote Sensing
Keywords: image-graphics sequences 2-D animation skeletoninterpolation match time series in-between frame outline topological relation network model maximal flow line-following thinning thinning key frame.
CLC: TP391.41
Type: PhD thesis
Year: 2001
Downloads: 440
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Wth the Internet and WWW technologies widely used increasingly and netanim8tion rapidly developed, the studies on image-graphics sequences in thefield become a focus. Based on the analysis on the status of image-graphicssequences, this paPer makes a comprehensive study on the new vectorbasedimage-graPhics sequences technology and gives its mathematical model and acomplate solution for those from vector representation to inner relationshipestablishment. Finally, it makes a discussion on its further aPplications.The main works completed by author including:(l) Firstly present the idea of establishing the relationship withinimage-graphics sequences, which changes the situation in the field ofprocessing image-graphics sequences one by one as Static image-graPhics, and puts its studies forward to inielligent mode.(2) For mathematical model selection, study the processing model for vectorstructured image-graphics sequences, the vector/raster model, vectoroutline and vector skeleton model, and present skeleton-linewidth model,and fully demonstrate the advantages of new models and discuss itspotential applications.(3) For the vector representation for image-graPhics sequences, make acomparison betWeen the most basic outline representation method andthe outline-based representation method introduced by Shenli. Analyzethe representation method based on skeleton-oUtline, and then describethe modified algorithm for line-following thinning algorithm presentedby the author in detail, and basing on the algorithIn realize theskeleton-linewidth vectOr representation for image-graPhics sequences.(4) For the neighbor frames match for image-graphics sequences, describethree most common methods for time series match: ARMA modelmethod, discrete Fourier transform method, specification transfOrm basedmatch method; study the tWo common methods for outline match, i.e.,relaxation iter8tion m8tch method based on polygon outline and polygonmatch method based on polygon centroid, and modify the centroid-basedpoIygon match method for matching the image-graPhics sequences;finally introduce the concept of network maximal floW and present thenetwork maximum flow match method based on topological relations,and analyze the experiment results of the two match methods.(5)For the in-between frame interpolation, introduce the key point match into the computer graphics interpolation, and give the method for determination of outline key points, and present a new solution for irregular graphics interpolation, and finally discuss the interpolation method with different speeds.(6)Present a method for establishing inner relationship between sequential graphics by using polygon topological relations, and prove that this method can obtain good results for sequential graphics.The results from a lot of experiments have shown that: the idea of establishing the inner relationship between image-graphics sequences presented in this paper is correct, and the processing method based on the idea for image-graphics sequences with skeleton-linewidth vector structure is feasible both in theory and practice.

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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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