圖像仿射不變方法研究

內(nèi)容概要

本書(shū)研究的重點(diǎn)是旋轉(zhuǎn)不變紋理分類(lèi)和尺度不變模式識(shí)別。對(duì)旋轉(zhuǎn)不變紋理分類(lèi)的研究，我們提出了兩種新方法，即基于Gabor小波的旋轉(zhuǎn)不變紋理分類(lèi)方法和基于圓形Gabor小波的旋轉(zhuǎn)不變紋理分類(lèi)方法。同時(shí)為了測(cè)定旋轉(zhuǎn)紋理的角度，我們又提出了一種基于相位一致性的方向估計(jì)算法。對(duì)尺度不變模式識(shí)別的研究，我們提出了基于經(jīng)驗(yàn)?zāi)B(tài)分解和梅林徑向調(diào)和分解的方法。    本書(shū)可作為模式識(shí)別、圖像處理及相近專(zhuān)業(yè)的研究生和專(zhuān)業(yè)人員的教材或參考書(shū)。

書(shū)籍目錄

Chapter Ⅰ  Introduction  1.1  Background  1.2  The Problem of Invariance  1.3  Scope of the Research and Contribution of this Book  1.4  The Mathematical Background  1.5  Organization of This Book  1.6  SummaryChapter Ⅱ  Review of the Previous Works  2.1  Review of Rotation Invariant Texture Classification  2.2  Review of the Correlation Filters about Scale Invariant Pattern Recognition  2.3  SummaryChapter Ⅲ  The Proposed Invariant Methods  3.1  Proposed Rotation Invariant Texture Classification Methods[170,171,173,174]  3.2  Proposed Orientation Estimation Method[172]  3.3  Proposed Scale Invariant Pattern Recognition Method[168,169]  3.4  SummaryChapter Ⅳ  Experimental Results and Analysis  4.1  Experiments for Rotation Invariant Texture Classification  4.2  Experiments for Orientation Estimation  4.3  Experiments for Scale Invariant Pattern Recognition  4.4  SummaryChapter Ⅴ  Conclusion  5.1  Rotation-invariant texture classification Using Gabor wavelet  5.2  Rotation-Invariant Texture Classification Using Circular Gabor Wavelets  5.3  Orientation estimat on from phase congruency  5.4  Scale Invariant Pattern RecofnitionReference

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