Modeling shapes using uniform cubic B-splines for rice seed image analysis
Issue Date
7-2016
Abstract
A piecewise model for representing and matching rice seed shapes is presented to be used for visual phenotyping of rice accessions. Scanned seed images for an accession are analyzed to characterize its seeds' shape. The resulting shape is modeled using uniform cubic B-splines, and saved to a database of representative splines for each accession. Databases using uniform cubic B-Splines with four, eight, 12, 16, and 20 curve segments were generated, and two classifiers for matching new, unknown shapes to the known accession shapes were tested. Based on tests, using uniform cubic B-Splines with four curve segments yielded promising results, and using eight, 12, 16, or 20 curve segments did not improve the classifiers' accuracy significantly.
Source or Periodical Title
2016 IEEE 6th International Conference on Communications and Electronics, IEEE ICCE 2016
Page
326-331
Document Type
Conference Paper
Physical Description
illustrations, tables, graphs
Language
English
Subject
rice seeds, shape matching, shape representation, uniform cubic B-Splines
Recommended Citation
Peralta, C.N.M., Pabico, J.P., Mariano, Y.M. (2016). Modeling shapes using uniform cubic B-splines for rice seed image analysis. 2016 IEEE Sixth International Conference on Communications and Electronics (ICCE), 2016, 326-331. doi: 10.1109/CCE.2016.7562657.
Identifier
DOI: 10.1109/CCE.2016.7562657
Digital Copy
yes