template matching of colored image based on quaternion fourier transform and image pyramid techniques
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2016
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Abstract
Template matching method is one of the most
significant object recognition techniques and it has many
applications in the field of digital signal processing and image
processing and it is the base for object tracking in computer
vision field. The traditional template matching by correlation is
performed between gray template image w and the candidate
gray image f where the template’s position is to be determined in
the candidate image. This task can be achieved by measuring the
similarity between the template image and the candidate image
to identify and localize the existence of object instances within an
image. When applying this method to colored image, the image
must be converted to a gray one or decomposed to its RGB
components to be processed separately. The current paper aims
to apply the template matching technique to colored images via
generating the quaternion Fourier transforms of both the
template and candidate colored image and hence performing the
cross-correlation between those transforms. Moreover, this
approach is improved by representing both the image and
template as pyramid multi-resolution format to reduce the time
of processing. The proposed algorithm is implemented and
applied to different images and templates using Matlab
functions.
| Reference Key |
khalil2016journaltemplate
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|---|---|
| Authors | ;M.I. KHALIL |
| Journal | current eye research |
| Year | 2016 |
| DOI |
10.4316/JACSM.201601005
|
| URL | |
| Keywords |
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