29 May 2007 Texture analysis with statistical methods for wheat ear extraction
Author Affiliations +
Proceedings Volume 6356, Eighth International Conference on Quality Control by Artificial Vision; 63560L (2007) https://doi.org/10.1117/12.736913
Event: Eighth International Conference on Quality Control by Artificial Vision, 2007, Le Creusot, France
Abstract
In agronomic domain, the simplification of crop counting, necessary for yield prediction and agronomic studies, is an important project for technical institutes such as Arvalis. Although the main objective of our global project is to conceive a mobile robot for natural image acquisition directly in a field, Arvalis has proposed us first to detect by image processing the number of wheat ears in images before to count them, which will allow to obtain the first component of the yield. In this paper we compare different texture image segmentation techniques based on feature extraction by first and higher order statistical methods which have been applied on our images. The extracted features are used for unsupervised pixel classification to obtain the different classes in the image. So, the K-means algorithm is implemented before the choice of a threshold to highlight the ears. Three methods have been tested in this feasibility study with very average error of 6%. Although the evaluation of the quality of the detection is visually done, automatic evaluation algorithms are currently implementing. Moreover, other statistical methods of higher order will be implemented in the future jointly with methods based on spatio-frequential transforms and specific filtering.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. Bakhouche, F. Cointault, P. Gouton, "Texture analysis with statistical methods for wheat ear extraction", Proc. SPIE 6356, Eighth International Conference on Quality Control by Artificial Vision, 63560L (29 May 2007); doi: 10.1117/12.736913; https://doi.org/10.1117/12.736913
PROCEEDINGS
8 PAGES


SHARE
RELATED CONTENT

Beef quality grading using machine vision
Proceedings of SPIE (December 29 2000)
A new method for fast circle detection in a complex...
Proceedings of SPIE (December 02 2011)
Image Segmentation By Background Extraction Refinements
Proceedings of SPIE (March 01 1990)
Color Target Recognition Using Omnidirectional Vision
Proceedings of SPIE (January 22 1987)
Multilayer robust estimation for motion segmentation
Proceedings of SPIE (February 14 1992)

Back to Top