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Output details

11 - Computer Science and Informatics

University of Surrey

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Article title

Automatic extraction of leaf characters from herbarium specimens

Type
D - Journal article
DOI
-
Title of journal
TAXON
Article number
-
Volume number
61
Issue number
1
First page of article
231
ISSN of journal
1996-8175
Year of publication
2012
URL
-
Number of additional authors
-
Additional information

<22>Recent developments in the analysis of herbarium specimens have generated an increasing need to analyse images rather than specimens, and a desire to extract information and identify or classify species using the images directly. This paper is the first to address this pressing need, and describes the development and testing of a system to enable automated extraction of information from whole herbarium specimen images. Much progress has been made recently in leaf-shape image analysis, but herbarium specimens have been largely neglected until this paper. The paper is published in the most highly respected international journal in botanical taxonomy.

Interdisciplinary
Yes
Cross-referral requested
-
Research group
None
Citation count
8
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-