AI Deep Learning in Image Processing

PART I Fundamentals of Image Processing 1. Introduction 2. Image Enhancement 3. Mathematical Morphology 4. Image Segmentation 5. Image Representation and Description 6. Feature Extractiion PART II Fundamentals of AI Deep Learning 7. Pattern Recognition 8. Deep Learning 9. Image Processing by Deep Learning 10. Development of Deep-Learning Framework for Mathematical Morphology 11. Deep Morphological Neural Networks PART III Practical Applications 12. A Robust and Blind Image Watermarking System Based on Deep Neural Networks 13. Deep Learning Classification on Optical Coherence Tomography Retina Images 14. Classification of Ecological Data by Deep Learning 15. Joint Learning for Pneumonia Classification and Segmentation on Medical Images 16. Classification of Chest X-Ray Images Using Novel Adaptive Morphological Neural 17. Land-Cover Image Segmentation Based on Individual Class Binary Masks 18. FPA-Net: Frequency-Guided Position-Based Attention Network for Land-Cover Image Segmentation 19. Defense against Adversarial Attacks Based on Stochastic Descent Sign Activation 20. Adaptive Image Reconstruction for Defense against Adversarial Attacks 21. A Novel Multi-Data-Augmentation and Multi-Deep-Learning Framework for Counting Small Vehicles and Crowds 22. Drug Toxicity Prediction by Machine-Learning Approaches 23. An Efficient Detection and Recognition System for Multiple Motorcycle License Plates Based on Decision Tree 24. The Deep Hybrid Neural Network and an Application on Polyp Detection 25. BFC-Cap: Background and Frequency-Guided Contextual Image 26. A Novel Adaptive Data Transformation for Contrastive Learning