We created an unbiased geometrical average image template for each of the three groups, which were matched for sex and age (mean age: 76.1 years+/- 7.7 SD).
This template nesting feature is exemplified by replacing the "image" component type of the Button-Text-Image template of Sect.
Taking back to the "Button-Text-Image" template of Listing 2, lines 14 to 22 specify a relationship among types of components.
Note that the "abort" command is used instead of "stop", since "abort" does not generate notification (onEnd) to trigger the link "changingPhotos" inherited from the template of Listing 3. The template we present in this section is similar to the Button-Text-Image template of Sect. 3.
This study presents a new method of vertebra tracking, based on image template matching of the contour of the vertebral body for an accurate intervertebral kinematics analysis.
Cell movement between frames was assessed by the analysis of the image template shift to the position of highest similarity in the following frame.
Existing algorithms typically assume that an image template is the projection of a single planar surface patch.
The sizes of raw image, template and search area are 1600×1200 (pixels), 101×101 (pixels) and 201×201 (pixels) respectively, and the total matching number is 26,825.
The spatial resolution is defined by the average bead density together with the size of the image template used during bead displacement detection which was 15-25pixels = 2.5-4.1um and is about, but not precisely, the bead density.
Here the database of 25 : 1 compressed image templates are compared to the original image templates.
When a query image is presented, the matching proceeds as follows: The query image and each template of the same finger stored in database are matched to generate matching scores, and these scores are translated to distance using a proper distance expression; Computing the distance from query image to the centroid, and output the distance.
