Third International Conference on Image Processing and Capsule Networks: ICIPCN 2022

Chen, Joy Iong-Zong (Edited by)/ Tavares, João Manuel R. S. (Edited by)/ Shi, Fuqian (Edited by)

ISBN 10: 303112412X / ISBN 13: 9783031124129

Verlag: Springer, 2022

Beschreibung

856 pages. 9.25x6.10x1.70 inches. In Stock. This item is printed on demand. Bestandsnummer des Verkäufers __303112412X

Bibliografische Details

Titel: Third International Conference on Image ...

Verlag: Springer

Erscheinungsdatum: 2022

Einband: Paperback

Zustand: Brand New

Über diesen Titel

Inhaltsangabe:

This book provides a collection of the state-of-the-art research attempts to tackle the challenges in image and signal processing from various novel and potential research perspectives. The book investigates feature extraction techniques, image enhancement methods, reconstruction models, object detection methods, recommendation models, deep and temporal feature analysis, intelligent decision support systems, and autonomous image detection models. In addition to this, the book also looks into the potential opportunities to monitor and control the global pandemic situations.

Image processing technology has progressed significantly in recent years, and it has been commercialized worldwide to provide superior performance with enhanced computer/machine vision, video processing, and pattern recognition capabilities. Meanwhile, machine learning systems like CNN and CapsNet get popular to provide better model hierarchical relationships and attempts to more closely mimic biological neural organization. As machine learning systems prosper, image processing and machine learning techniques will be tightly intertwined and continuously promote each other in real-world settings.
Adopting this trend, however, the image processing researchers are faced with few image reconstruction, analysis, and segmentation challenges. On the application side, the orientation of the image features and noise removal has become a huge burden.