Abstract
Based on image processing technology, the detection, classification and feature extraction for plant grain shape are performed in this paper. Taking rice grain as an example, the shape detection and description method of similar round object are studied firstly. Then a grain shape description method based on 8 feature points of rice grain boundary is proposed. Aiming at rice seed detection, a simple image size calibration method based on black-white grid is put forward too. Finally, an extraction algorithm for 8 feature points is presented. © 2008 by International Federation for Information Processing.
Author supplied keywords
Cite
CITATION STYLE
Gao, H., Wang, Y., & Ge, P. (2008). Rice Shape Parameter Detection Based on Image Processing. In IFIP Advances in Information and Communication Technology (Vol. 258, pp. 287–294). Springer New York LLC. https://doi.org/10.1007/978-0-387-77251-6_31
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
