| Dominant Orientation Detection |
| Image Registration and Fusion Systems |
Unless an image contains a symmetric pattern, it has a unique orientation. If an image contains an
elongated object, the direction of the major axis of the object may be taken as the preferred or dominant
orientation of the image. Not all images, however, contain elongated objects. Image Registration and Fusion
Systems has developed a methodology for determining unique orientations for images that do not contain
symmetric patterns. Examples of dominant orientation detection by this software are given below. Two images
taken from different views of a scene are available. The dominant orientation detected in each image is shown
with a yellow line. The second image is then rotated about its center so its dominant orientation aligns with that
of the first image. After the rotation, the dimensions of the second image is also changed to that of the first
image. The orientation alignment is most effective when the images do not have a large perspective difference.
elongated object, the direction of the major axis of the object may be taken as the preferred or dominant
orientation of the image. Not all images, however, contain elongated objects. Image Registration and Fusion
Systems has developed a methodology for determining unique orientations for images that do not contain
symmetric patterns. Examples of dominant orientation detection by this software are given below. Two images
taken from different views of a scene are available. The dominant orientation detected in each image is shown
with a yellow line. The second image is then rotated about its center so its dominant orientation aligns with that
of the first image. After the rotation, the dimensions of the second image is also changed to that of the first
image. The orientation alignment is most effective when the images do not have a large perspective difference.
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