000 03760nam a22005775i 4500
001 978-3-662-53745-9
003 DE-He213
005 20220801222737.0
007 cr nn 008mamaa
008 161209s2017 gw | s |||| 0|eng d
020 _a9783662537459
_9978-3-662-53745-9
024 7 _a10.1007/978-3-662-53745-9
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aRemagnino, Paolo.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_963118
245 1 0 _aComputational Botany
_h[electronic resource] :
_bMethods for Automated Species Identification /
_cby Paolo Remagnino, Simon Mayo, Paul Wilkin, James Cope, Don Kirkup.
250 _a1st ed. 2017.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2017.
300 _aVIII, 114 p. 38 illus., 20 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aFrom the Content -- Introduction -- Morphometrics: a Brief Review -- Feature Extraction -- Machine Learning for Plant Leaf Analysis.
520 _aThis 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 _aComputational intelligence.
_97716
650 0 _aBotany.
_963119
650 0 _aImage processing—Digital techniques.
_931565
650 0 _aComputer vision.
_963120
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aPlant Science.
_963121
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
_931569
700 1 _aMayo, Simon.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_963122
700 1 _aWilkin, Paul.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_963123
700 1 _aCope, James.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_963124
700 1 _aKirkup, Don.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_963125
710 2 _aSpringerLink (Online service)
_963126
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783662537435
776 0 8 _iPrinted edition:
_z9783662537442
776 0 8 _iPrinted edition:
_z9783662571569
856 4 0 _uhttps://doi.org/10.1007/978-3-662-53745-9
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c81107
_d81107