Background Segmentation and Dimensional Measurement of Corn Germplasm Bern, Carl Panigrahi, Suranjan Misra, Manjit Misra, Manjit Bern, Carl Marley, Stephen
dc.contributor.department Agricultural and Biosystems Engineering 2018-02-13T22:51:37.000 2020-06-29T22:40:10Z 2020-06-29T22:40:10Z Sun Jan 01 00:00:00 UTC 1995 2014-03-14 1995
dc.description.abstract <p>An automatic thresholding technique was developed to segment the background from the images of corn germplasm (ears of corn). The technique was a modification of Otsu’s algorithm using probability theory. Three different measures were used to evaluate the performance of the modified Otsu’s algorithm for background segmentation and subsequent dimensional measurement of corn germplasm. Modified Otsu’s algorithm was found to perform better than Otsu’s algorithm and was successful in automatic background segmentation of all 80 images of corn germplasm included in the study. This modified algorithm also eliminated the misclassification of exposed cob in the image as background which occurred with Otsu’s algorithm. Subsequent dimensional measurements based on the segmentation by the modified algorithm were also highly accurate.</p>
dc.description.comments <p>This article is from <em>Transactions of the ASAE</em> 38 (1995): 291–297, doi:<a href="" target="_blank">10.13031/2013.27841</a>. Posted with permission.</p>
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dc.identifier archive/
dc.identifier.articleid 1736
dc.identifier.contextkey 5339331
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath abe_eng_pubs/479
dc.language.iso en
dc.source.bitstream archive/|||Sat Jan 15 00:26:24 UTC 2022
dc.source.uri 10.13031/2013.27841
dc.subject.disciplines Agriculture
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.title Background Segmentation and Dimensional Measurement of Corn Germplasm
dc.type article
dc.type.genre article
dspace.entity.type Publication
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