Image processing and capsule networks : ICIPCN 2020 / Joy Iong-Zong Chen, João Manuel R. S. Tavares, Subarna Shakya, Abdullah M. Iliyasu, editord.
2021
TA1637
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Title
Image processing and capsule networks : ICIPCN 2020 / Joy Iong-Zong Chen, João Manuel R. S. Tavares, Subarna Shakya, Abdullah M. Iliyasu, editord.
Meeting Name
International Conference on Image Processing and Capsule Networks (2020 : Bangkok, Thailand)
ISBN
9783030518592 (electronic bk.)
3030518590 (electronic bk.)
9783030518608 (print)
3030518604
3030518582
9783030518585
3030518590 (electronic bk.)
9783030518608 (print)
3030518604
3030518582
9783030518585
Publication Details
Cham : Springer, [2021]
Language
English
Description
1 online resource
Item Number
10.1007/978-3-030-51859-2 doi
10.1007/978-3-030-51
10.1007/978-3-030-51
Call Number
TA1637
Dewey Decimal Classification
006.4/2
Summary
This book emphasizes the emerging building block of image processing domain, which is known as capsule networks for performing deep image recognition and processing for next-generation imaging science. Recent years have witnessed the continuous development of technologies and methodologies related to image processing, analysis and 3D modeling which have been implemented in the field of computer and image vision. The significant development of these technologies has led to an efficient solution called capsule networks [CapsNet] to solve the intricate challenges in recognizing complex image poses, visual tasks, and object deformation. Moreover, the breakneck growth of computation complexities and computing efficiency has initiated the significant developments of the effective and sophisticated capsule network algorithms and artificial intelligence [AI] tools into existence. The main contribution of this book is to explain and summarize the significant state-of-the-art research advances in the areas of capsule network [CapsNet] algorithms and architectures with real-time implications in the areas of image detection, remote sensing, biomedical image analysis, computer communications, machine vision, Internet of things, and data analytics techniques.
Note
Includes author index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Series
Advances in intelligent systems and computing ; 1200.
Available in Other Form
Image processing and capsule networks.
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Table of Contents
Efficient GAN-Based Remote Sensing Image Change Detection under Noise Conditions
Recognition of Handwritten Digits by Image Processing Methods and Classification Models
Convolutional Neural Network with Multi-Column Characteristics Extraction for Image Classification
Face Detection based on Image Stitching for Class Attendance Checking
Image Processing Technique for Effective Analysis of the Cytotoxic Activity in Human Breast Cancer Cell Lines
Development of an algorithm for Vertebrae Identification using Speeded Up Robust Features
Comparison of Machine Learning Algorithms for Smart License Number Plate Detection System.
Recognition of Handwritten Digits by Image Processing Methods and Classification Models
Convolutional Neural Network with Multi-Column Characteristics Extraction for Image Classification
Face Detection based on Image Stitching for Class Attendance Checking
Image Processing Technique for Effective Analysis of the Cytotoxic Activity in Human Breast Cancer Cell Lines
Development of an algorithm for Vertebrae Identification using Speeded Up Robust Features
Comparison of Machine Learning Algorithms for Smart License Number Plate Detection System.