DocumentCode :
2835893
Title :
Method for Automatic Counting Root Nodules Using Digital Images
Author :
Barbedo, Jayme Garcia Arnal
Author_Institution :
Embrapa Inf. Agropecuaria, Campinas, Brazil
fYear :
2012
fDate :
18-21 June 2012
Firstpage :
159
Lastpage :
161
Abstract :
This paper presents a method to automatically count nodules that are present in the roots of many legume plants, using digital images captured after the nodules have been removed from the roots. This problem poses a significant challenge due to a number of reasons: the size and shape of the nodules vary greatly, they may appear clustered, and their texture is not uniform. The proposed method exploits well-known morphological operations to discriminate each nodule, making the counting process possible. Tests reveal a good correlation between automatic and manual counting.
Keywords :
agriculture; image processing; image texture; object detection; automatic counting root nodule method; counting process; digital images; legume plants; manual counting; morphological operations; Algorithm design and analysis; Correlation; Digital images; Euclidean distance; Manuals; Software; Surface morphology; Digital Images; Object Counting; Root Nodules;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Science and Its Applications (ICCSA), 2012 12th International Conference on
Conference_Location :
Salvador
Print_ISBN :
978-1-4673-1691-0
Type :
conf
DOI :
10.1109/ICCSA.2012.39
Filename :
6257630
Link To Document :
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