Compare two images and match features
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I am trying to match features for two images (files attched) which are developed using two different CAD software but are almost the same. Their resolution is different. I am not able to match the features of the two images using any of the extractfeatures options. How can I approach this problem ? I even tried the scale invariant extractfeatures commands. I am developing a software where I compare these two images and grade them.
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Image Analyst
on 14 Jul 2017
Sorry, I can't run it because I don't have the Computer Vision System Toolbox. But I think you'd be better off getting some features that mean something to you rather than just a bunch or arbitrary surf or sift salient points, which from what I've seen often give a lot of spurious points.
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Vinoth Venkatesan
on 21 Jul 2017
I'm assuming your trying to match the features obtained between two sets of images and give scores according to the number of matches. I'm not sure about the count function that is being used, but a better way to compare features obtained from detectors like SURF is to use the descriptors associated with each detected feature that is output by the extractFeatures function ( refer here ).
There are a few ways to make these comparisons. You could use a Sum of Squared Differences (SSD) for example:
SSD = sum(features1(i) - features2(i).^2)
Here, the ith feature from sets 1 and 2 are being compared. If the SSD is below a tolerance value, the features can be matched. Refer to sum for information about array sum.
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