Computer Vision: Applications of Visual AI and Image Processing

Description

This book focuses on the latest developments in the fields of visual AI, image processing and computer vision. It shows research in basic techniques like image pre-processing, feature extraction, and enhancement, along with applications in biometrics, healthcare, neuroscience and forensics. The book highlights algorithms, processes, novel architectures and results underlying machine intelligence with detailed execution flow of models. Preface Contents About the Editors List of Contributors 1 OpenCV libraries for computer vision 2 Data science, computer vision and machine learning for agriculture and natural resource management: an overview 3 Image caption generating system using convolutional neural networks and long short-term memory networks 4 Computer vision for healthcare applications 5 Mental disorder prediction using facial expression based on machine learning techniques 6 Neonatal monitoring system using IoT and object detection 7 Video surveillance fire detection and quick alarm systems 8 Face mask detection and crowd size estimation using IoT platform 9 Generative adversary networks novel trends in image processing 10 Computer vision-based approach for alphabetic recognition and Indian Sign Language recognition system 11 Automated healthcare system using gamification and AI-based chatbot 12 Prediction of MRI tumor condition through image segmentation using deep neural network approach 13 Color constancy adjustment techniques 14 Hyperspectral imaging and its applications for vein detection: a review 15 Detection of Augmented Facial Landmarks-based Face Swapping 16 Factors affecting the accuracy of a laser scanner Index