具體描述
《圖像仿射不變方法研究》研究的重點是鏇轉不變紋理分類和尺度不變模式識彆。對鏇轉不變紋理分類的研究，我們提齣瞭兩種新方法，即基於Gabor小波的鏇轉不變紋理分類方法和基於圓形Gabor小波的鏇轉不變紋理分類方法。同時為瞭測定鏇轉紋理的角度，我們又提齣瞭一種基於相位一緻性的方嚮估計算法。對尺度不變模式識彆的研究，我們提齣瞭基於經驗模態分解和梅林徑嚮調和分解的方法。
《圖像仿射不變方法研究》可作為模式識彆、圖像處理及相近專業的研究生和專業人員的教材或參考書。
著者簡介
圖書目錄
目錄
Chapter ⅠIntroduction
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 Summary
Chapter ⅡReview 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 Summary
Chapter ⅢThe 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 Summary
Chapter ⅣExperimental 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 Summary
Chapter ⅤConclusion
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 Recofnition
Reference
· · · · · · (收起)
Chapter ⅠIntroduction
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 Summary
Chapter ⅡReview 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 Summary
Chapter ⅢThe 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 Summary
Chapter ⅣExperimental 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 Summary
Chapter ⅤConclusion
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 Recofnition
Reference
· · · · · · (收起)
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