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  wheatscreenshot.jpg (11472 bytes)  wheatmesurement.jpg (47468 bytes)

Sample image (left); Computer is trained to remember characteristics of this seed class (right)

 

  1. 1.The software measures a number of features from each seed such as the height, width, area etc.
  2. 2.This information is stored into a database
  3. 3.The user provides the name of the seeds, which is stored along with the statistics.
  4. 4.This procedure is repeated for each seed the user would like the software to recognize.

 mixedseed.jpg (13734 bytes)  classification.jpg (27176 bytes)

  

Sample test image (left); Computer analysis of seed types (right)

The software automatically analyzes and classifies the seeds in the purity image.  The user can view the statistics and correct misclassifications.

References

  Sako, Y., E. E. Regnier, T. Daoust, K. Fujimura, S. K. Harrison, and M. B. McDonald.  2001.  Computer image analysis and classification of giant ragweed (Ambrosia trifida) seeds.  Weed Sci. 49: 738-745.

Patents

McDonald, M. B., T. Daoust, K. Fujimura, and A. F. Evans.  2003.  Seed Image Analyzer.  Patent Application, Office of Technology Transfer.