UID:
kobvindex_GFZ368833372
Format:
XI, 316 Seiten
,
Illustrationen
ISBN:
9810248865
Series Statement:
Series in machine perception and artificial intelligence 51
Note:
Literaturangaben
,
Contents
Preface
Acknowledgments
Authors' Affiliations
1 Introduction to ADIAC and This Book / Hans du Buf and Micha M. Bayer
2 Diatoms: Organism and Image / David G. Mann
3 Diatom Applications / Richard J. Telford, Steve Juggins, Martyn G. Kelly, and Bertrand Ludes
4 ADIAC Imaging Techniques and Databases / Micha M. Bayer and Steve Juggins
5 Human Error and Quality Assurance in Diatom Analysis / Martyn G. Kelly, Micha M. Bayer, Joachim Hurlimann, and Richard J. Telford
6 Contour Extraction / Stefan Fischer, Hamid R. Shahbazkia, and Horst Bunke
7 Identification Using Classical and New Features in Combination with Decision Tree Ensembles / Stefan Fischer and Horst Bunke
8 Identification by Curvature of Convex and Concave Segments / Robert E. Lake and Hans du Buf
9 Identification by Contour Profiling and Legendre Polynomials / Adrian Ciobanu and Hans du Buf
10 Identification by Gabor Features / Luis M. Santos and Hans du Buf
11 Identification by Mathematical Morphology / Michael H. F. Wilkinson, Andrei C. Jalba, Erik R. Urbach, and Jos B. T. M. Roerdink
12 Mixed-Method Identifications / Michel A. Westenberg and Jos B. T. M. Roerdink
13 Automatic Slide Scanning / Jose L. Pech-Pacheco and Gabriel Cristobal
14 ADIAC Achievements and Future Work / Hans du Buf and Micha M. Bayer
Appendix: The Mixed Genera Data Set
Language:
English
Keywords:
Aufsatzsammlung
URL:
http://bvbr.bib-bvb.de:8991/exlibris/aleph/a22_1/apache_media/MT5REBU8BIFF6GNRK4JBJ83M9YS9DF.pdf
Bookmarklink
