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.
Author(s): Pancham Shukla, Rajanikanth Aluvalu, Shilpa Gite and Uma Maheswari V.
Series: De Gruyter Frontiers in Computational Intelligence
Publisher: Walter de Gruyter GmbH
Year: 2023
Language: English
Pages: 370
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
