Computer Vision
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.
More details
Other editions
Additional editions
Persons
Dr. Pancham Shukla , UK; Dr. Rajanikanth Aluvalu , India; Dr. Shilpa Gite , India; Dr. Uma Maheswari V , India.
Content
- Intro
- 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
