Advance Concepts of Image Processing and Pattern Recognition: Effective Solution for Global Challenges
- Length: 238 pages
- Edition: 1
- Language: English
- Publisher: Springer
- Publication Date: 2022-02-22
- ISBN-10: 9811693234
- ISBN-13: 9789811693236
- Sales Rank: #0 (See Top 100 Books)
The book explains the important concepts and principles of image processing to implement the algorithms and techniques to discover new problems and applications. It contains numerous fundamental and advanced image processing algorithms and pattern recognition techniques to illustrate the framework. It presents essential background theory, shape methods, texture about new methods, and techniques for image processing and pattern recognition. It maintains a good balance between a mathematical background and practical implementation. This book also contains the comparison table and images that are used to show the results of enhanced techniques. This book consists of novel concepts and hybrid methods for providing effective solutions for society. It also includes a detailed explanation of algorithms in various programming languages like MATLAB, Python, etc. The security features of image processing like image watermarking and image encryption etc. are also discussed in this book. This book will be useful for those who are working in the field of image processing, pattern recognition, and security for digital images. This book targets researchers, academicians, industry, and professionals from R&D organizations, and students, healthcare professionals working in the field of medical imaging, telemedicine, cybersecurity, data scientist, artificial intelligence, image processing, digital hospital, intelligent medicine.
Cover Front Matter 1. Hybrid Evolutionary Technique for Contrast Enhancement of Color Images 2. Computer Vision for Agro-Foods: Investigating a Method for Grading Rice Grain Quality in Sri Lanka 3. A Study on Image Restoration and Analysis 4. Application of Deep Learning and Machine Learning in Pattern Recognition 5. Brain Tumor Classification Using Hybrid Artificial Neural Network with Chicken Swarm Optimization Algorithm in Digital Image Processing Application 6. Detection and Classification of Breast Cancer Using CNN 7. De-Noising of Poisson Noise Corrupted CT Images by Using Modified Anisotropic Diffusion-Based PDE Filter 8. Computer-Aided Diabetic Retinopathy Diagnosis Using Conventional and Deep Learning Techniques—A Comparison 9. Speckle Reduction in Ultrasound Images Using Hybridization of Wavelet-Based Novel Thresholding Approach with Guided Filter 10. Poisson Noise-Adapted Total Variation-Based Filter for Restoration and Enhancement of Mammogram Images 11. Implementation of Mathematical Morphology Technique in Binary and Grayscale Image 12. Design of Advanced Security System Using Vein Pattern Recognition and Image Segmentation Techniques
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