A digital image processing-based automatic method for measuring rice panicle lengths.

Abstract. This paper presents a new method based on digital image processing techniques such as color transformations and mathematical morphology, as well as on some specialist knowledge, to provide estimates for the lengths of rice panicles that have been removed from the plant. Results show that the method estimates are at least as accurate as those obtained by manual measurements, being robust under a wide variety of imaging setups and conditions. Another major advantage presented by this approach is the ability of providing estimates for several panicles at once, either by processing several image files in a single batch, by processing images containing a large number of panicles, or both.

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Bibliographic Details
Main Author: BARBEDO, J. G. A.
Other Authors: JAYME GARCIA ARNAL BARBEDO, CNPTIA.
Format: Anais e Proceedings de eventos biblioteca
Language:English
eng
Published: 2013-11-21
Subjects:Processamento de imagens, Imagem digital, Panículas de arroz, Rice panicles, Image processing., Oryza Sativa., Digital images, Image analysis.,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/971740
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Summary:Abstract. This paper presents a new method based on digital image processing techniques such as color transformations and mathematical morphology, as well as on some specialist knowledge, to provide estimates for the lengths of rice panicles that have been removed from the plant. Results show that the method estimates are at least as accurate as those obtained by manual measurements, being robust under a wide variety of imaging setups and conditions. Another major advantage presented by this approach is the ability of providing estimates for several panicles at once, either by processing several image files in a single batch, by processing images containing a large number of panicles, or both.