Feature Extraction in Medical Image Retrieval: A New Design of Wavelet Filter Banks

Preface
Acknowledgement
Contents
1 Content Based Medical Image Retrieval
	1.1 Content Based Medical Image Retrieval
	1.2 Feature Extraction
		1.2.1 Color
		1.2.2 Shape
		1.2.3 Texture
		1.2.4 Key Point Descriptors
		1.2.5 Relevance Feedback
		1.2.6 Spatial Relationships
		1.2.7 3-D Volumetric Features
	1.3 Similarity Measurement
		1.3.1 Distance Metrics
	1.4 Performance Indices
	1.5 Literature Review
	1.6 Motivation
	References
2 Fundamentals of Wavelet Filter Banks
	2.1 Wavelets
	2.2 Historical Outlook
		2.2.1 Basis Function
	2.3 Fourier Analysis
	2.4 Wavelet Transform versus Fourier Transform
		2.4.1 Similarities Between Fourier and Wavelet Transform
		2.4.2 Dissimilarities Between Fourier and Wavelet Transform
	2.5 Discrete Wavelet Transform
	2.6 Two Channel Filter Banks
	References
3 Fundamentals of Gabor Wavelet Filter Banks
	3.1 Introduction
	3.2 The Gabor Uncertainty Principle
	3.3 Gabor Representation of One-Dimensional Signals
	3.4 Gabor Representation of Two-Dimensional Signals
	3.5 2D Gabor Representation in Vision
	3.6 Problems with the Gabor Representation
	3.7 Gabor versus Wavelet Representations
	3.8 The Orthogonality Issue
	3.9 3D Gabor Representation of Spatiotemporal Signals
	3.10 Literature Review
	References
4  A Family of Multiplier Free Orthogonal Wavelet Filter Banks
	4.1 Review on Orthogonal Daubechies Wavelet FBs
	4.2 Design of a Family of Orthogonal Wavelet Filter Banks
	4.3 Design Examples
		4.3.1 db3 (6-tap) Filter
		4.3.2 db4 (8-tap) Filter
		4.3.3 Computational Architecture of Suggested Orthogonal Wavelet FBs
	4.4 Medical Image Retrieval Algorithm Using Suggested Designed Wavelet FBs
		4.4.1 Feature Extraction Using Suggested Dyadic Wavelet FBs
	4.5 Results and Discussion
		4.5.1 Performance of the Proposed Approach
		4.5.2 Computational Time
	4.6 Summary and Conclusion
	References
5 Design of Symmetric and Completely Dyadic db-4 Wavelet Filter Bank
	5.1 Introduction
		5.1.1 Review on Related Existing Wavelet FBs
	5.2 Design of Suggested Symmetric and Completely Dyadic db-4 FB
		5.2.1 Computational Architecture for Suggested Wavelet FB
	5.3 Medical Image Retrieval Using Suggested Symmetric and Dyadic db-4 FB
		5.3.1 Feature Extraction Using Suggested Dyadic Wavelet FBs
	5.4 Results and Discussion
		5.4.1 Performance of the Suggested Approach
		5.4.2 Computational Time
	5.5 Summary and Conclusion
	References
6 Design of Dyadic Gabor Wavelet Filter Banks
	6.1 Introduction
		6.1.1 Review of the Related Gabor Wavelet FBs
	6.2 Design of Dyadic Gabor Wavelet Filter Bank (DGWFB)
		6.2.1 Dyadic Gabor Wavelet Filter Bank (DGWFB)
			6.2.1.1 Design Example with a Set of Six Orientations
		6.2.2 Computational Architecture of Dyadic Gabor Wavelet FB
	6.3 Design of CSD Based Gabor Wavelets
	6.4 Medical Image Retrieval Using Suggested DGWFB and CSD-Based Gabor
		6.4.1 Feature Extraction Using Suggested Gabor Wavelet FBs
	6.5 Results and Discussion
		6.5.1 Performance of the Proposed Approach
		6.5.2 Computational Time
	6.6 Summary and Conclusion
	References
7 Design of Adaptive Gabor Wavelet Filter Banks
	7.1 Introduction
		7.1.1 Review of Existing Gabor Wavelet FBs
	7.2 Design of Adaptive Gabor Wavelet FB
		7.2.1 Effect of Orientation Parameter on Images
		7.2.2 Computation of Orientation Parameter
		7.2.3 Effect of Orientation Parameter on Other Gabor Filter Parameter
	7.3 Medical Image Retrieval Using Adaptive Gabor Wavelet FBs (AGWFBs)
		7.3.1 Texture Representation Using AGWFBs
	7.4 Result Analysis and Discussions
		7.4.1 Performance of the Proposed Approach
		7.4.2 Computational Time
	7.5 Summary and Conclusion
	References
Appendix A
Appendix B
Appendix C
Index