Second International Conference on Image Processing and Capsule Networks : Icipcn 2021
Chen, Joy Iong-zong (EDT); Tavares, João Manuel R. S. (EDT); Iliyasu, Abdullah M. (EDT); Du, Ke-lin (EDT)
Language: English
Published by Springer, 2021
Series: Book 285 of 391 - Lecture Notes in Networks and Systems
- Softcover
- Used

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- Title
- Second International Conference on Image Processing and Capsule Networks : Icipcn 2021
- Author
- Chen, Joy Iong-zong (EDT); Tavares, João Manuel R. S. (EDT); Iliyasu, Abdullah M. (EDT); Du, Ke-lin (EDT)
- Publisher
- Springer
- Publication year
- 2021
- Condition
- As New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3030847594
- ISBN 13
- 9783030847593
- Series
- Book 285 of 391: Lecture Notes in Networks and Systems
This book includes the papers presented in 2nd International Conference on Image Processing and Capsule Networks [ICIPCN 2021]. In this digital era, image processing plays a significant role in wide range of real-time applications like sensing, automation, health care, industries etc. Today, with many technological advances, many state-of-the-art techniques are integrated with image processing domain to enhance its adaptiveness, reliability, accuracy and efficiency. With the advent of intelligent technologies like machine learning especially deep learning, the imaging system can make decisions more and more accurately. Moreover, the application of deep learning will also help to identify the hidden information in volumetric images. Nevertheless, capsule network, a type of deep neural network, is revolutionizing the image processing domain; it is still in a research and development phase. In this perspective, this book includes the state-of-the-art research works that integrate intelligent techniques with image processing models, and also, it reports the recent advancements in image processing techniques. Also, this book includes the novel tools and techniques for deploying real-time image processing applications.
The chapters will briefly discuss about the intelligent image processing technologies, which leverage an authoritative and detailed representation by delivering an enhanced image and video recognition and adaptive processing mechanisms, which may clearly define the image and the family of image processing techniques and applications that are closely related to the humanistic way of thinking.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This book includes the papers presented in 2nd International Conference on Image Processing and Capsule Networks [ICIPCN 2021]. In this digital era, image processing plays a significant role in wide range of real-time applications like sensing, automation, health care, industries etc. Today, with many technological advances, many state-of-the-art techniques are integrated with image processing domain to enhance its adaptiveness, reliability, accuracy and efficiency. With the advent of intelligent technologies like machine learning especially deep learning, the imaging system can make decisions more and more accurately. Moreover, the application of deep learning will also help to identify the hidden information in volumetric images. Nevertheless, capsule network, a type of deep neural network, is revolutionizing the image processing domain; it is still in a research and development phase. In this perspective, this book includes the state-of-the-art research works that integrate intelligent techniques with image processing models, and also, it reports the recent advancements in image processing techniques. Also, this book includes the novel tools and techniques for deploying real-time image processing applications.
The chapters will briefly discuss about the intelligent image processing technologies, which leverage an authoritative and detailed representation by delivering an enhanced image and video recognition and adaptive processing mechanisms, which may clearly define the image and the family of image processing techniques and applications that are closely related to the humanistic way of thinking.
"About the title" may belong to another edition of this title.
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