DocumentCode
2358497
Title
Extraction of leaves from herbarium images
Author
Henries, Dale G. ; Tashakkori, Rahman
Author_Institution
Dept. of Comput. Sci., Appalachian State Univ., Boone, NC, USA
fYear
2012
fDate
6-8 May 2012
Firstpage
1
Lastpage
6
Abstract
Detection of a leaf from the image that contains the leaf, branches, and other background material is challenging. The existing approaches for automated leaf extraction do not provide satisfactory results when the end-users provide a plant image. For such an application to be feasible, the automated leaf extraction algorithm should handle leaves of various colors, shapes, sizes, and locations within the image. This paper presents an algorithm for automating the process of extracting the possible target leaves from herbarium plant images. Our results indicate high level of accuracy for the proposed algorithm.
Keywords
botany; feature extraction; object detection; automated leaf extraction; herbarium plant image; leaf detection; Algorithm design and analysis; Classification algorithms; Cleaning; Gray-scale; Image color analysis; Image segmentation; Shape; Automatic leaf detection; herbarium image leaf recognition; leaf extraction;
fLanguage
English
Publisher
ieee
Conference_Titel
Electro/Information Technology (EIT), 2012 IEEE International Conference on
Conference_Location
Indianapolis, IN
ISSN
2154-0357
Print_ISBN
978-1-4673-0819-9
Type
conf
DOI
10.1109/EIT.2012.6220752
Filename
6220752
Link To Document