Progress in the Grading of Vegetative Cuttings Using Computer Vision
Tech. Report, CMU-RI-TR-97-05, Robotics Institute, Carnegie Mellon University, May, 1997
Abstract
This paper reports on recent progress in the development of system to group pop-ulations of vegetative cuttings. The system is required to assign a classification to cuttings such that they appear uniform after a growing period based on single two-dimensional monochrome images. We have developed a fast segmentation technique that is able to measure plant features and a supervised learning scheme that learns a mapping from the features to a scalar classification. We report results based on segmentation of over 2000 geranium cuttings. The system is able to process images at 2 Hz and has an accuracy of over 90%.
BibTeX
@techreport{Singh-1997-14301,author = {Sanjiv Singh and Michael Montemerlo},
title = {Progress in the Grading of Vegetative Cuttings Using Computer Vision},
year = {1997},
month = {May},
institute = {Carnegie Mellon University},
address = {Pittsburgh, PA},
number = {CMU-RI-TR-97-05},
}
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.