Image Processing and Capsule Networks: ICIPCN 2020

Author:   Joy Iong-Zong Chen ,  João Manuel R. S. Tavares ,  Subarna Shakya ,  Abdullah M. Iliyasu
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   1200
ISBN:  

9783030518585


Pages:   807
Publication Date:   24 July 2020
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Our Price $465.72 Quantity:  
Add to Cart

Share |

Image Processing and Capsule Networks: ICIPCN 2020


Add your own review!

Overview

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. 

Full Product Details

Author:   Joy Iong-Zong Chen ,  João Manuel R. S. Tavares ,  Subarna Shakya ,  Abdullah M. Iliyasu
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   1200
Weight:   1.258kg
ISBN:  

9783030518585


ISBN 10:   3030518582
Pages:   807
Publication Date:   24 July 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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.          

Reviews

Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

ls

Shopping Cart
Your cart is empty
Shopping cart
Mailing List