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 Summary
Chapter 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 Summary
Chapter 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 Summary
Chapter 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 Summary
Chapter 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 Recofnition
Reference
