Joy Iong-Zong Chen & João Manuel R. S. Tavares 
Third International Conference on Image Processing and Capsule Networks [PDF ebook] 
ICIPCN 2022

Ủng hộ

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 Caps Net 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.

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Ngôn ngữ Anh ● định dạng PDF ● Trang 841 ● ISBN 9783031124136 ● Kích thước tập tin 126.6 MB ● Biên tập viên Joy Iong-Zong Chen & João Manuel R. S. Tavares ● Nhà xuất bản Springer International Publishing ● Thành phố Cham ● Quốc gia CH ● Được phát hành 2022 ● Có thể tải xuống 24 tháng ● Tiền tệ EUR ● TÔI 8482642 ● Sao chép bảo vệ DRM xã hội

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