
Автор: Pancham Shukla, Rajanikanth Aluvalu, Shilpa Gite, Uma Maheswari V.
Издательство: De Gruyter
Год: 2023
Страниц: 370
Язык: английский
Формат: pdf (true), epub
Размер: 15.9 MB
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. Artificial Intelligence (AI) has occupied almost all the fields of our lives nowadays by making machines work and think like humans. To build the ability to “see” the objects, identify scenes and act accordingly, machines should have “vision” ability. Computer Vision (CV) is considered as one of the most powerful yet challenging fields of AI. To provide visual interpretation and contextual understanding of the digital images and videos by the machines, CV and its applications are well adopted by all the domains. The state of the art of CV models are most useful for image and video analysis and prediction of various applications in real life. CV tackles all images and visual representation/interpretation-related problems using the machine’s cognitive abilities that are possible with the help of deep learning approaches. Hence, to make the readers aware about recent advances in CV image processing, this book was planned.