The Robotics Institute

Carnegie Mellon Robotics Institute

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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%.

Notes

Text Reference

Sanjiv Singh and Michael Montemerlo, "Progress in the Grading of Vegetative Cuttings Using Computer Vision," tech. report CMU-RI-TR-97-05, Robotics Institute, Carnegie Mellon University, January, 1997

BibTeX Reference

@techreport{Singh_1997_809,
   author = "Sanjiv Singh and Michael Montemerlo",
   title = "Progress in the Grading of Vegetative Cuttings Using Computer Vision",
   booktitle = "",
   institution = "Robotics Institute",
   month = "January",
   year = "1997",
   number= "CMU-RI-TR-97-05",
   address= "Pittsburgh, PA",
}

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