語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Image texture analysis = foundations...
~
Hung, Chih-Cheng.
FindBook
Google Book
Amazon
博客來
Image texture analysis = foundations, models and algorithms /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Image texture analysis/ by Chih-Cheng Hung, Enmin Song, Yihua Lan.
其他題名:
foundations, models and algorithms /
作者:
Hung, Chih-Cheng.
其他作者:
Song, Enmin.
出版者:
Cham :Springer International Publishing : : 2019.,
面頁冊數:
xii, 258 p. :ill., digital ;24 cm.
內容註:
Part I: Existing Models and Algorithms for Image Texture -- Image Texture, Texture Features, and Image Texture Classification and Segmentation -- Texture Features and Image Texture Models -- Algorithms for Image Texture Classification -- Dimensionality Reduction and Sparse Representation -- Part II: The K-Views Models and Algorithms -- Basic Concept and Models of the K-Views -- Using Datagram in the K-Views Model -- Features-Based K-Views Model -- Advanced K-Views Algorithms -- Part III: Deep Machine Learning Models for Image Texture Analysis -- Foundations of Deep Machine Learning in Neural Networks -- Convolutional Neural Networks and Texture Classification.
Contained By:
Springer eBooks
標題:
Visual texture recognition. -
電子資源:
https://doi.org/10.1007/978-3-030-13773-1
ISBN:
9783030137731
Image texture analysis = foundations, models and algorithms /
Hung, Chih-Cheng.
Image texture analysis
foundations, models and algorithms /[electronic resource] :by Chih-Cheng Hung, Enmin Song, Yihua Lan. - Cham :Springer International Publishing :2019. - xii, 258 p. :ill., digital ;24 cm.
Part I: Existing Models and Algorithms for Image Texture -- Image Texture, Texture Features, and Image Texture Classification and Segmentation -- Texture Features and Image Texture Models -- Algorithms for Image Texture Classification -- Dimensionality Reduction and Sparse Representation -- Part II: The K-Views Models and Algorithms -- Basic Concept and Models of the K-Views -- Using Datagram in the K-Views Model -- Features-Based K-Views Model -- Advanced K-Views Algorithms -- Part III: Deep Machine Learning Models for Image Texture Analysis -- Foundations of Deep Machine Learning in Neural Networks -- Convolutional Neural Networks and Texture Classification.
This useful textbook/reference presents an accessible primer on the fundamentals of image texture analysis, as well as an introduction to the K-views model for extracting and classifying image textures. Divided into three parts, the book opens with a review of existing models and algorithms for image texture analysis, before delving into the details of the K-views model. The work then concludes with a discussion of popular deep learning methods for image texture analysis. Topics and features: Provides self-test exercises in every chapter Describes the basics of image texture, texture features, and image texture classification and segmentation Examines a selection of widely-used methods for measuring and extracting texture features, and various algorithms for texture classification Explains the concepts of dimensionality reduction and sparse representation Discusses view-based approaches to classifying images Introduces the template for the K-views algorithm, as well as a range of variants of this algorithm Reviews several neural network models for deep machine learning, and presents a specific focus on convolutional neural networks This introductory text on image texture analysis is ideally suitable for senior undergraduate and first-year graduate students of computer science, who will benefit from the numerous clarifying examples provided throughout the work. Dr. Chih-Cheng Hung is a Tenured Professor of Computer Science in the College of Computing and Software Engineering at Kennesaw State University, where he serves as the Director of the Center for Machine Vision and Security Research. He also holds the position of YinDu Scholar at Anyang Normal University, China. Dr. Enmin Song is a Professor and Director of the Department of Computer Science and Application at Huazhong University of Science and Technology, Wuhan, China. Dr. Yihua Lan is an Associate Professor of Computer Science in the School of Computer and Information Technology at Nanyang Normal University, China.
ISBN: 9783030137731
Standard No.: 10.1007/978-3-030-13773-1doiSubjects--Topical Terms:
3411828
Visual texture recognition.
LC Class. No.: Q327 / .H86 2019
Dewey Class. No.: 006.37
Image texture analysis = foundations, models and algorithms /
LDR
:03688nmm a2200337 a 4500
001
2191988
003
DE-He213
005
20190619232005.0
006
m d
007
cr nn 008maaau
008
200506s2019 gw s 0 eng d
020
$a
9783030137731
$q
(electronic bk.)
020
$a
9783030137724
$q
(paper)
024
7
$a
10.1007/978-3-030-13773-1
$2
doi
035
$a
978-3-030-13773-1
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
Q327
$b
.H86 2019
072
7
$a
UYT
$2
bicssc
072
7
$a
COM012000
$2
bisacsh
072
7
$a
UYT
$2
thema
072
7
$a
UYQV
$2
thema
082
0 4
$a
006.37
$2
23
090
$a
Q327
$b
.H936 2019
100
1
$a
Hung, Chih-Cheng.
$3
3411825
245
1 0
$a
Image texture analysis
$h
[electronic resource] :
$b
foundations, models and algorithms /
$c
by Chih-Cheng Hung, Enmin Song, Yihua Lan.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2019.
300
$a
xii, 258 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
Part I: Existing Models and Algorithms for Image Texture -- Image Texture, Texture Features, and Image Texture Classification and Segmentation -- Texture Features and Image Texture Models -- Algorithms for Image Texture Classification -- Dimensionality Reduction and Sparse Representation -- Part II: The K-Views Models and Algorithms -- Basic Concept and Models of the K-Views -- Using Datagram in the K-Views Model -- Features-Based K-Views Model -- Advanced K-Views Algorithms -- Part III: Deep Machine Learning Models for Image Texture Analysis -- Foundations of Deep Machine Learning in Neural Networks -- Convolutional Neural Networks and Texture Classification.
520
$a
This useful textbook/reference presents an accessible primer on the fundamentals of image texture analysis, as well as an introduction to the K-views model for extracting and classifying image textures. Divided into three parts, the book opens with a review of existing models and algorithms for image texture analysis, before delving into the details of the K-views model. The work then concludes with a discussion of popular deep learning methods for image texture analysis. Topics and features: Provides self-test exercises in every chapter Describes the basics of image texture, texture features, and image texture classification and segmentation Examines a selection of widely-used methods for measuring and extracting texture features, and various algorithms for texture classification Explains the concepts of dimensionality reduction and sparse representation Discusses view-based approaches to classifying images Introduces the template for the K-views algorithm, as well as a range of variants of this algorithm Reviews several neural network models for deep machine learning, and presents a specific focus on convolutional neural networks This introductory text on image texture analysis is ideally suitable for senior undergraduate and first-year graduate students of computer science, who will benefit from the numerous clarifying examples provided throughout the work. Dr. Chih-Cheng Hung is a Tenured Professor of Computer Science in the College of Computing and Software Engineering at Kennesaw State University, where he serves as the Director of the Center for Machine Vision and Security Research. He also holds the position of YinDu Scholar at Anyang Normal University, China. Dr. Enmin Song is a Professor and Director of the Department of Computer Science and Application at Huazhong University of Science and Technology, Wuhan, China. Dr. Yihua Lan is an Associate Professor of Computer Science in the School of Computer and Information Technology at Nanyang Normal University, China.
650
0
$a
Visual texture recognition.
$3
3411828
650
0
$a
Computer vision.
$3
540671
650
1 4
$a
Image Processing and Computer Vision.
$3
891070
650
2 4
$a
Artificial Intelligence.
$3
769149
700
1
$a
Song, Enmin.
$3
3411826
700
1
$a
Lan, Yihua.
$3
3411827
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer eBooks
856
4 0
$u
https://doi.org/10.1007/978-3-030-13773-1
950
$a
Computer Science (Springer-11645)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9374584
電子資源
11.線上閱覽_V
電子書
EB Q327 .H86 2019
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入