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The Study on Methods of Image Rotation, Interpolation and Computation for Geometry Moment Based on Chain Code

Author: ChenFang
Tutor: GuGuoQing
School: East China Normal University
Course: System Analysis and Integration
Keywords: Geometric transformation Rotation Shear Surface Fitting Interpolation Automata Vertex chain code Of demarcation automata Freeman chain code Geometric moments
CLC: TP391.41
Type: Master's thesis
Year: 2006
Downloads: 323
Quote: 7
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Abstract


Image rotation algorithm is the basic algorithm of the image . Used rotation algorithm based on given derivation based on the principle of the three-step Shear cut shift rotation algorithm , and optimized implementations optimized algorithm not only avoids the geometric rotation transformation generated scaling effects , but also to solve the three steps wrong cut rotation transformation algorithm in image accuracy declined and bottlenecks , and improve the quality and efficiency of image rotation transform . In order to effectively solve the problem of image rotation interpolation process , based on the study of existing image interpolation algorithm is proposed interpolation algorithm based on the quadratic surface fitting . The straight boundary stepped in the nearest neighbor interpolation algorithm , the algorithm from a smoothing effect , effective solution to the loss of brightness in a linear interpolation algorithm , and to avoid a huge amount of calculation of higher order interpolation algorithm , severe Processed limitations . In computer vision , the moment is an important shape characterization . Research the existing computing image geometric moment algorithm based on chain code - based technical computing image geometric moments , respectively, calculated using two different types of chain code method : one is the use of automata get any image Freeman chain code and boundary points of the image area of the regional boundary coordinate sequence , combined with the discrete Green's theory , quickly and accurately calculate the geometric moments of an image ; another is calculated based on the vertex chain code image geometric moments . Compared with the existing algorithms , way before the results are accurate , low memory overhead , fast operation , applicable to any shape of the image ; latter method convex image , the formula simplifies accurate results .

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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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