Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Image processing with cellular topology
~
Kovalevskii, V. A.
Image processing with cellular topology
Record Type:
Electronic resources : Monograph/item
Title/Author:
Image processing with cellular topologyby Vladimir Kovalevskii.
Author:
Kovalevskii, V. A.
Published:
Singapore :Springer Singapore :2021.
Description:
1 online resource (xi, 184 p.) :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Image processing.
Online resource:
https://doi.org/10.1007/978-981-16-5772-6
ISBN:
9789811657726$q(electronic bk.)
Image processing with cellular topology
Kovalevskii, V. A.
Image processing with cellular topology
[electronic resource] /by Vladimir Kovalevskii. - Singapore :Springer Singapore :2021. - 1 online resource (xi, 184 p.) :ill., digital ;24 cm.
Chapter 1. Introduction -- Chapter 2. Boundary Presentation Using Abstract Cell Complexes -- Chapter 3. Boundary Tracing in Binary Images Using Cell Complexes -- Chapter 4. Boundary Tracing and Encoding in Color Images -- Chapter 5. Boundary Polygonization -- Chapter 6. Edge Detection in 2D Images -- Chapter 7. Surface Traversing and Encoding in 3D Images -- Chapter 8. Edge Detection in 3D Images -- Chapter 9. Discussion.
This book explains why the finite topological space known as abstract cell complex is important for successful image processing and presents image processing methods based on abstract cell complex, especially for tracing and encoding of boundaries of homogeneous regions. Many examples are provided in the book, some teach you how to trace and encode boundaries in binary, indexed and colour images. Other examples explain how to encode a boundary as a sequence of straight-line segments which is important for shape recognition. A new method of edge detection in two- and three-dimensional images is suggested. Also, a discussion problem is included in the book: A derivative is defined as the limit of the relation of the increment of the function to the increment of the argument as the latter tends to zero. Is it not better to estimate derivatives as the relation of the increment of the function to the optimal increment of the argument instead of taking exceedingly small increment which leads to errors? This book addresses all above questions and provide the answers.
ISBN: 9789811657726$q(electronic bk.)
Standard No.: 10.1007/978-981-16-5772-6doiSubjects--Topical Terms:
182627
Image processing.
LC Class. No.: TA1637 / K68 2021
Dewey Class. No.: 006.6
Image processing with cellular topology
LDR
:02539nmm a2200349 a 4500
001
614764
003
DE-He213
005
20220326193039.0
006
m o d
007
cr nn 008maaau
008
220802s2021 si s 0 eng d
020
$a
9789811657726$q(electronic bk.)
020
$a
9789811657719$q(paper)
024
7
$a
10.1007/978-981-16-5772-6
$2
doi
035
$a
978-981-16-5772-6
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TA1637
$b
K68 2021
072
7
$a
TJF
$2
bicssc
072
7
$a
UYT
$2
bicssc
072
7
$a
COM016000
$2
bisacsh
072
7
$a
TJF
$2
thema
072
7
$a
UYT
$2
thema
082
0 4
$a
006.6
$2
23
090
$a
TA1637
$b
.K88 2021
100
1
$a
Kovalevskii, V. A.
$3
913126
245
1 0
$a
Image processing with cellular topology
$h
[electronic resource] /
$c
by Vladimir Kovalevskii.
260
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2021.
300
$a
1 online resource (xi, 184 p.) :
$b
ill., digital ;
$c
24 cm.
505
0
$a
Chapter 1. Introduction -- Chapter 2. Boundary Presentation Using Abstract Cell Complexes -- Chapter 3. Boundary Tracing in Binary Images Using Cell Complexes -- Chapter 4. Boundary Tracing and Encoding in Color Images -- Chapter 5. Boundary Polygonization -- Chapter 6. Edge Detection in 2D Images -- Chapter 7. Surface Traversing and Encoding in 3D Images -- Chapter 8. Edge Detection in 3D Images -- Chapter 9. Discussion.
520
$a
This book explains why the finite topological space known as abstract cell complex is important for successful image processing and presents image processing methods based on abstract cell complex, especially for tracing and encoding of boundaries of homogeneous regions. Many examples are provided in the book, some teach you how to trace and encode boundaries in binary, indexed and colour images. Other examples explain how to encode a boundary as a sequence of straight-line segments which is important for shape recognition. A new method of edge detection in two- and three-dimensional images is suggested. Also, a discussion problem is included in the book: A derivative is defined as the limit of the relation of the increment of the function to the increment of the argument as the latter tends to zero. Is it not better to estimate derivatives as the relation of the increment of the function to the optimal increment of the argument instead of taking exceedingly small increment which leads to errors? This book addresses all above questions and provide the answers.
650
0
$a
Image processing.
$3
182627
650
0
$a
Image processing
$x
Mathematics.
$3
184606
650
0
$a
Algebraic topology.
$3
189702
650
1 4
$a
Image Processing.
$3
273705
650
2 4
$a
Topology.
$3
185965
650
2 4
$a
Manifolds and Cell Complexes.
$3
913127
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/978-981-16-5772-6
950
$a
Computer Science (SpringerNature-11645)
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
000000208063
電子館藏
1圖書
電子書
EB TA1637 .K88 2021 2021
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
https://doi.org/10.1007/978-981-16-5772-6
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login