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I have images of same scene focused at different distances. I want to align the images such that every feature is in exactly same position in every image. How can i do this using opencv?
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Image alignment (also called image registration) is the technique of warping one image ( or sometimes both images ) so that the features in the two images line up perfectly. Some interesting applications of Image Alignment are: Creating panoramas.
To center an image with CSS Grid, wrap the image in a container div element and give it a display of grid . Then set the place-items property to center. P.S.: place-items with a value of center centers anything horizontally and vertically.
To align the images, we use the Image Processing Toolbox imregister() function. In addition to a pair of images, intensity-based automatic image registration requires a metric, an optimizer, and a transformation type. We obtain the 'metric' and 'optimizer' values using imregconfig() with the 'multimodal' option.
First you have determine the transformation between your images. It can be as simple as shift or as complex as non-linear warping. Focusing operation can not only shift but also slightly scale and even shear the images. In this case you have to use Homography to match them.
Second, a simplest way that you have to try is to manually select at least 4 paris of corresponding points, record their coordinates and feed them into findHomography() function. The resulting 3x3 transformation can be used in warpPerspective() to match the images. If the outcome is good you can automate the process of finding correspondences by using, say, SURF points and matching their descriptors.
Finally, if the result is unsatisfactory you have to have a more general transformation than homography. I would try a piece-wise Affine trying to match pieces of images separately. Anyway, more info about your input and a final goal will help to solve the problem properly.
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