Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Image processing and capsule network...
~
(1998 :)
Image processing and capsule networksICIPCN 2020 /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Image processing and capsule networksedited by Joy Iong-Zong Chen .. [et al.].
Reminder of title:
ICIPCN 2020 /
remainder title:
ICIPCN 2020
other author:
Chen, Joy Iong-Zong.
corporate name:
Published:
Cham :Springer International Publishing :2021.
Description:
xxii, 807 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Image processingCongresses.Digital techniques
Online resource:
https://doi.org/10.1007/978-3-030-51859-2
ISBN:
9783030518592$q(electronic bk.)
Image processing and capsule networksICIPCN 2020 /
Image processing and capsule networks
ICIPCN 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 ;176..
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$q(electronic bk.)
Standard No.: 10.1007/978-3-030-51859-2doiSubjects--Topical Terms:
384512
Image processing
--Digital techniques--Congresses.
LC Class. No.: TA1637 / .I57 2020
Dewey Class. No.: 006.42
Image processing and capsule networksICIPCN 2020 /
LDR
:03036nmm a2200349 a 4500
001
595085
003
DE-He213
005
20200723112846.0
006
m d
007
cr nn 008maaau
008
211005s2021 sz s 0 eng d
020
$a
9783030518592$q(electronic bk.)
020
$a
9783030518585$q(paper)
024
7
$a
10.1007/978-3-030-51859-2
$2
doi
035
$a
978-3-030-51859-2
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TA1637
$b
.I57 2020
072
7
$a
UYQ
$2
bicssc
072
7
$a
TEC009000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
006.42
$2
23
090
$a
TA1637
$b
.I61 2020
111
2
$n
(3rd :
$d
1998 :
$c
Amsterdam, Netherlands)
$3
194767
245
1 0
$a
Image processing and capsule networks
$h
[electronic resource] :
$b
ICIPCN 2020 /
$c
edited by Joy Iong-Zong Chen .. [et al.].
246
3
$a
ICIPCN 2020
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.
650
0
$a
Image processing
$x
Digital techniques
$v
Congresses.
$3
384512
650
1 4
$a
Computational Intelligence.
$3
338479
650
2 4
$a
Image Processing and Computer Vision.
$3
274051
700
1
$a
Chen, Joy Iong-Zong.
$3
887211
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer Nature eBook
830
0
$a
Advances in intelligent systems and computing ;
$v
176.
$3
567349
856
4 0
$u
https://doi.org/10.1007/978-3-030-51859-2
950
$a
Intelligent Technologies and Robotics (SpringerNature-42732)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000195230
電子館藏
1圖書
電子書
EB TA1637 .I61 2020 2021
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
https://doi.org/10.1007/978-3-030-51859-2
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login