| Images (provided by multiple users) |
---|---|
Step 1 | Obtaining reference images from a web data base |
Step 2 | Obtaining images of unknown specimens |
 | Digitization (performed by a single user) |
Step 3 | Digitizing the images of reference (reference coordinates) |
Step 4 | Digitizing the images of the unknown specimens (unknown coordinates) |
 | Classification |
Procrustes | Â |
Step 5 | Pairwise Procrustes distances between each unknown and each reference image |
Mahalanobis | Â |
Step 6* | Computing shape variables on the combined sets of coordinates obtained from step 3 and one unknown specimen obtained from step 4 |
Step 7 | Computing a discriminant model using the reference shape variables, exclusively (a partition of data from step 6) |
Step 8 | Entering to the discriminant model the shape variables of the unknown specimen (a partition of data from step 6) |
Go to Step 6 for the next unknown specimen. |