Image Pattern Recognition: Fundamentals and Applications

ISBN-13: 9780367642167 / Angielski / Twarda / 2022 / 184 str.

L. Koteswara Rao; MD Zia Ur Rahman; P. Rohini

Opis

The comprehensive textbook discusses fundamental of data retrieval, image retrieval using extrema patterns in a single volume. It will serve as an ideal study material for senior undergraduate and graduate students in the fields of electrical engineering and electronics and communications engineering.

Spis treści

1. INTRODUCTION 1.1 Data Retrieval 1.2 Content Based Image retrieval system 1.3 Organization of Book 2. FEATURES USED FOR IMAGE RETRIEVAL 2.1 Introduction 2.2 Color features 2.3 Texture features 2.4 Local features 2.5 Shape features 2.6 Multiple features 2.7 Problem statement 2.8 Methodology 3. IMPROVED DIRECTIONAL LOCAL EXTREMA PATTERNS FOR CBIR 3.1 Introduction 3.2 Local patterns 3.3 Directional local extrema Patterns 3.4 Improved directional local extrema patterns 3.5 Conclusion 4. LOCAL QUANTIZED EXTREMA PATTERNS 4.1 Introduction 4.2 Local quantized extrema patterns 4.3 Experimental results and discussion 4.4 Conclusions 5. LOCAL COLOR OPPUGNANT QUANTIZED EXTREMA PATTERNS 5.1 Introduction 5.2 Local color oppugnant quantized extrema patterns 5.3 Experimental results and discussion 5.4 Conclusions 6. LOCAL MESH QUANTIZED EXTREMA PATTERNS 6.1 Introduction 6.2 Local mesh quantized extrema patterns 6.3 Experimental results and discussion 6.4 Conclusions 7. LOCAL PATTERNS FOR FEATURE EXTRACTION 7.1 Quantized Neighborhood Local Intensity Extrema Patterns For Image Retrieval 7.1.1 Major advantages over other methods 7.1.2 Framework of proposed retrieval system 7.1.3 Image Similarity measurement 7.1.4 Experimental results and discussion 7.1.5 Conclusion 7.2 Magnitude Directional Local Extrema Patterns 7.2.1 Introduction 7.2.2 Different types of local patterns 7.2.3 Proposed CMDLEP System 7.2.4 Experimental Results 7.2.5 Conclusion 7.3 Combination of CDLEP and Gabor Features 7.3.1 Introduction 7.3.2 Local Patterns and Variations 7.3.3 Proposed Gabor CDLEP System 7.3.4 Experimental Results 7.3.5 Conclusion 7.4 LEMP: A Robust Image Feature Descriptor for Retrieval Applications 7.4.1 Introduction 7.4.2 Related Local Patterns 7.4.3 Proposed Framework 7.4.4 Conclusion 7.5 Multiple Color Channel Local Extrema Patterns for Image Retrieval 7.5.1 Introduction 7.5.2 Relevant Work 7.5.3 Proposed Method 7.5.4 Experimental Results and Discussions 7.5.5 Conclusion and future scope 7.6 Integration of MDLEP and Gabor Function as a Feature Vector for Image Retrieval System 7.6.1 Introduction 7.6.2 Local Patterns & Variations 7.6.3 Proposed CMDLEP System 7.6.4 Experimental Results 7.6.5 Conclusions 7.7 Local Co-occurrence Patterns 7.7.1 Introduction 7.7.2 Local Patterns 7.7.3 Framework of the proposed system 7.7.4 Experimental Results and Discussions 7.7.5 Conclusion 7.8 Color Based Multi-Directional Local MOTIF XOR Patterns for Image Retrieval 7.8.1 Introduction 7.8.2 Feature Extraction Methods 7.8.3 Proposed Feature Descriptors 7.8.4 Experimental Results and Discussions 7.8.5 Conclusion 7.9 Quantized Local Trio Patterns for Multimedia Image Retrieval System. 7.9.1 Introduction 7.9.2 A Review of local patterns 7.9.3 Proposed Method 7.9.4 Experimental Results and Discussions 7.9.5 Conclusion 8. CONCLUSIONS AND FUTURE SCOPE 8.1 Summary 8.2 Salient features 8.3 Future scope REFERENCES