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Simple tips to gauge the similarity between two pictures?

I’ve two team pictures for dog and cat. And every team have 2000 pictures for pet and dog correspondingly.

My goal is you will need to cluster the pictures by making use of k-means.

Assume image1 is x , and image2 is y .Here we have to measure the similarity between any two pictures. what’s the way that is common determine between two pictures?

1 Response 1

Well, there a couple of therefore. lets go:

A – utilized in template matching:

Template Matching is linear and it is perhaps perhaps perhaps not invariant to rotation (really not robust to it) however it is pretty simple and easy robust to sound for instance the people in photography taken with low lighting.

It is simple to implement these OpenCV Template that is using Matching. Bellow there are mathematical equations determining a few of the similarity measures (adapted for comparing 2 equal sized pictures) utilized by cv2.matchTemplate:

1 – Sum Square Huge Difference

2 – Cross-Correlation

B – visual descriptors/feature detectors:

Numerous descriptors had been developed for pictures, their use that is main is register images/objects and look for them in other scenes. But, nevertheless they provide plenty of information regarding the image and were utilized in student detection (A joint cascaded framework for simultaneous attention detection and attention state estimation) and also seem it utilized for lip reading (can not direct one to it since I’m not certain it had been currently posted)

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