Image pattern recognition fundamentals and applications
This book describes various types of image patterns for image retrieval. All these patterns are texture dependent. Few image patterns such as Improved directional local extrema patterns, Local Quantized Extrema Patterns, Local Color Oppugnant Quantized Extrema Patterns and Local Mesh quantized extre...
| Main Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton
CRC Press
2021
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| Edition: | 1st |
| Subjects: | |
| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | This book describes various types of image patterns for image retrieval. All these patterns are texture dependent. Few image patterns such as Improved directional local extrema patterns, Local Quantized Extrema Patterns, Local Color Oppugnant Quantized Extrema Patterns and Local Mesh quantized extrema patterns are presented. Inter-relationships among the pixels of an image are used for feature extraction. In contrast to the existing patterns these patterns focus on local neighborhood of pixels to creates the feature vector. Evaluation metrics such as precision and recall are calculated after testing with standard databases i.e., Corel-1k, Corel-5k and MIT VisTex database. This book serves as a practical guide for students and researchers. -The text introduces two models of Directional local extrema patterns viz., Integration of color and directional local extrema patterns Integration of Gabor features and directional local extrema patterns. -Provides a framework to extract the features using quantization method -Discusses the local quantized extrema collected from two oppugnant color planes -Illustrates the mesh structure with the pixels at alternate positions |
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| Item Description: | 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 <BR>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 an |
| Physical Description: | 1 online resource illustrations (black and white) |
| ISBN: | 9781000460957 1000460959 9781000460971 9781003123514 1000460975 1003123511 |