語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Computational botany = methods for a...
~
SpringerLink (Online service)
Computational botany = methods for automated species identification /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Computational botany/ by Paolo Remagnino ... [et al.].
其他題名:
methods for automated species identification /
其他作者:
Remagnino, Paolo.
出版者:
Berlin, Heidelberg :Springer Berlin Heidelberg : : 2017.,
面頁冊數:
viii, 114 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
標題:
Engineering. -
電子資源:
http://dx.doi.org/10.1007/978-3-662-53745-9
ISBN:
9783662537459
Computational botany = methods for automated species identification /
Computational botany
methods for automated species identification /[electronic resource] :by Paolo Remagnino ... [et al.]. - Berlin, Heidelberg :Springer Berlin Heidelberg :2017. - viii, 114 p. :ill., digital ;24 cm.
From the Content -- Introduction -- Morphometrics: a Brief Review -- Feature Extraction -- Machine Learning for Plant Leaf Analysis.
This book discusses innovative methods for mining information from images of plants, especially leaves, and highlights the diagnostic features that can be implemented in fully automatic systems for identifying plant species. Adopting a multidisciplinary approach, it explores the problem of plant species identification, covering both the concepts of taxonomy and morphology. It then provides an overview of morphometrics, including the historical background and the main steps in the morphometric analysis of leaves together with a number of applications. The core of the book focuses on novel diagnostic methods for plant species identification developed from a computer scientist's perspective. It then concludes with a chapter on the characterization of botanists' visions, which highlights important cognitive aspects that can be implemented in a computer system to more accurately replicate the human expert's fixation process. The book not only represents an authoritative guide to advanced computational tools for plant identification, but provides experts in botany, computer science and pattern recognition with new ideas and challenges. As such it is expected to foster both closer collaborations and further technological developments in the emerging field of automatic plant identification.
ISBN: 9783662537459
Standard No.: 10.1007/978-3-662-53745-9doiSubjects--Topical Terms:
561152
Engineering.
LC Class. No.: Q342
Dewey Class. No.: 570.72
Computational botany = methods for automated species identification /
LDR
:02392nam a2200313 a 4500
001
957898
003
DE-He213
005
20170629154844.0
006
m d
007
cr nn 008maaau
008
201118s2017 gw s 0 eng d
020
$a
9783662537459
$q
(electronic bk.)
020
$a
9783662537435
$q
(paper)
024
7
$a
10.1007/978-3-662-53745-9
$2
doi
035
$a
978-3-662-53745-9
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
Q342
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
082
0 4
$a
570.72
$2
23
090
$a
Q342
$b
.C738 2017
245
0 0
$a
Computational botany
$h
[electronic resource] :
$b
methods for automated species identification /
$c
by Paolo Remagnino ... [et al.].
260
$a
Berlin, Heidelberg :
$c
2017.
$b
Springer Berlin Heidelberg :
$b
Imprint: Springer,
300
$a
viii, 114 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
From the Content -- Introduction -- Morphometrics: a Brief Review -- Feature Extraction -- Machine Learning for Plant Leaf Analysis.
520
$a
This book discusses innovative methods for mining information from images of plants, especially leaves, and highlights the diagnostic features that can be implemented in fully automatic systems for identifying plant species. Adopting a multidisciplinary approach, it explores the problem of plant species identification, covering both the concepts of taxonomy and morphology. It then provides an overview of morphometrics, including the historical background and the main steps in the morphometric analysis of leaves together with a number of applications. The core of the book focuses on novel diagnostic methods for plant species identification developed from a computer scientist's perspective. It then concludes with a chapter on the characterization of botanists' visions, which highlights important cognitive aspects that can be implemented in a computer system to more accurately replicate the human expert's fixation process. The book not only represents an authoritative guide to advanced computational tools for plant identification, but provides experts in botany, computer science and pattern recognition with new ideas and challenges. As such it is expected to foster both closer collaborations and further technological developments in the emerging field of automatic plant identification.
650
0
$a
Engineering.
$3
561152
650
0
$a
Computer graphics.
$3
561602
650
0
$a
Plant science.
$3
1249732
650
0
$a
Botany.
$3
599558
650
0
$a
Computational intelligence.
$3
568984
650
2 4
$a
Computational Intelligence.
$3
768837
650
2 4
$a
Plant Sciences.
$3
593902
650
2 4
$a
Computer Imaging, Vision, Pattern Recognition and Graphics.
$3
671334
700
1
$a
Remagnino, Paolo.
$3
669829
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer eBooks
856
4 0
$u
http://dx.doi.org/10.1007/978-3-662-53745-9
950
$a
Engineering (Springer-11647)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入