Agricultural and Biosystems Engineering Publications

Document Type

Article

Publication Version

Published Version

Publication Date

1995

Journal or Book Title

Transactions of the ASAE

Volume

38

Issue

1

First Page

291

Last Page

297

DOI

10.13031/2013.27841

Abstract

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.

Comments

This article is from Transactions of the ASAE 38 (1995): 291–297, doi:10.13031/2013.27841. Posted with permission.

Access

Open

Copyright Owner

American Society of Agricultural and Biological Engineers

Language

en

File Format

application/pdf

Share

COinS