Profile based image analysis for identification of chopped biomass stem nodes and internodes

Pothula, Anand Kumar and Igathinathane, C. and Kronberg, S. (2015) Profile based image analysis for identification of chopped biomass stem nodes and internodes. Industrial Crops and Products, 70 (1). pp. 374-382. ISSN 0926-6690


Abstract

Because of their significant variation in chemical composition, segregation of chopped biomass into nodes and internodes helps in efficient utilization of these feedstocks. Stem internodes having low ash content are a better feedstock for biofuel and bioenergy applications than nodes. However, separation of these components is challenging because their physical characteristics are similar. We applied an image processing technique to identify nodes and internodes of chopped biomass from scanned digital images. In this study, we utilized the object profile identified differences in the node and internode components and tested on chopped corn stalks and switchgrass stems. We considered four methods of image processing including rectangularity, solidity, width-, and slope-variation and developed an ImageJ plugin for the node-internode identification. Digital chopping of the ends of the objects was necessary for identification, especially dealing with projecting fibers and chipped rough ends, and an algorithm was developed for this. Among the methods tested, width-variation gave the best identification accuracy (97-98%), followed by rectangularity (93-96%), solidity (86-91%), and slope-variation (69-82%). Rectangularity - a relatively simpler method, and solidity - a standard ImageJ output, can be directly used to perform identification. The developed approach of node-internode identification can be easily applied to other chopped biomass and similar materials, and its application may lead to efficient biomass end use in biofuel and bioproduct industries.


Statistics for USQ ePrint 35696
Statistics for this ePrint Item
Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences (1 Jul 2013 - 5 Sep 2019)
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences (1 Jul 2013 - 5 Sep 2019)
Date Deposited: 14 Aug 2019 02:02
Last Modified: 24 Feb 2020 23:43
Uncontrolled Keywords: biofuel, bioproducts, feedstock quality, separation, sorting
Fields of Research (2008): 09 Engineering > 0999 Other Engineering > 099901 Agricultural Engineering
Identification Number or DOI: https://doi.org/10.1016/j.indcrop.2015.03.048
URI: http://eprints.usq.edu.au/id/eprint/35696

Actions (login required)

View Item Archive Repository Staff Only