CellScale UniVert, Руководство пользователя

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UniVert User Manual
30
Image Tracking: Overview
Image tracking is a function that can be used to quantify the
motions of image features (specimen texture and fiducial
markers). This can be useful for studying localized specimen
deformations, verifying strain magnitudes, and comparing the
results of one test to another.
The image tracking engine is based on a template matching
algorithm. This algorithm starts by defining a “patch” of pixels
(called a template) surrounding the selected source point on the
source image. It then determines the optimal location for this
template on a target image within a specified search region.
The algorithm defines the location of the tracked point on the target image as the center of the
optimally located template.
To track an image, follow these steps:
1. Click the Create button in the
tracking window, shown above.
This brings up the Tracking Editor
dialogue box.
2. Enter a Tracking Name.
3. Select Source Image in the test
image list tree and click Set to the
right of the Source box.
4. Select the Target Images in the
test image list tree, and click Set
to the right of the Target box. The
target image list will automatically
be sorted to remove duplicates
and be put in sequential order.
5. Generate source points on the
source image by performing the
following steps:
a. Manually click source point
locations on the source
image with the
Add button
depressed.
OR
b. Draw a box on the source image with the Select button depressed, then click the
Grid button and define a grid of points.
The displayed image will automatically change to the source image when either the Add
or Grid buttons are depressed.