Machine Vision Techniques for Measuring the Canopy of Tomato Seedling
✍ Scribed by P.P. Ling; V.N. Ruzhitsky
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 394 KB
- Volume
- 65
- Category
- Article
- ISSN
- 0021-8634
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✦ Synopsis
The canopy area of tomato seedlings is an important indicator of their quality . A machine vision system was designed for automated measurement . In a well-controlled lighting environment , it is feasible to use constant threshold values as a first step in partitioning images of tomato seedlings into the meaningful parts : canopy , root-growth medium , and a background . The selection of threshold values , however , should be based on an analysis of a training set of similar tomato seedling plugs . An image processing procedure was developed and evaluated to segment seedling canopy from background and root-growth medium parts of the seedling images . The segmentation process adopted an adaptive thresholding technique , the Otsu method , and extended it for an ef ficient multimode operation . The multimode segmentation operation accurately and quickly identified the canopy portion of tomato seedlings .