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Image processing and capsule network...

International Conference on Image Processing and Capsule Networks ((2020 :)

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Image processing and capsule networks = ICIPCN 2020 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Image processing and capsule networks/ edited by Joy Iong-Zong Chen .. [et al.].
Reminder of title:	ICIPCN 2020 /
remainder title:	ICIPCN 2020
other author:	Chen, Joy Iong-Zong.
corporate name:	International Conference on Image Processing and Capsule Networks
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xxii, 807 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Image processing - Digital techniques -
Online resource:	https://doi.org/10.1007/978-3-030-51859-2
ISBN:	9783030518592

Image processing and capsule networks = ICIPCN 2020 /
Image processing and capsule networksICIPCN 2020 /[electronic resource] :ICIPCN 2020edited by Joy Iong-Zong Chen .. [et al.]. - Cham :Springer International Publishing :2021. - xxii, 807 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.12002194-5357 ;. - Advances in intelligent systems and computing ;v.1200..

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.

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.

ISBN: 9783030518592

Standard No.: 10.1007/978-3-030-51859-2doiSubjects--Topical Terms:

623656
Image processing
--Digital techniques

LC Class. No.: TA1637 / .I57 2020

Dewey Class. No.: 006.42

Image processing and capsule networks = ICIPCN 2020 /
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245 1 0 $a Image processing and capsule networks $h [electronic resource] : $b ICIPCN 2020 / $c edited by Joy Iong-Zong Chen .. [et al.].
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260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xxii, 807 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in intelligent systems and computing, $x 2194-5357 ; $v v.1200
505 0 $a 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.
520 $a 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.
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700 1 $a Chen, Joy Iong-Zong. $3 3486252
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