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@jpistorino Did exactly that a while ago but the findCountours often found small parts of the whole contour or took into

@sjhalayka Sure thing! I'll post the code later today, or at the most, tomorrow!. @procton Yea, I've looked into that b

I am using C++.

Detecting multiple instances of an object I'm aware that this question has been asked over and over again and I thorough

First of all, Happy New Year! I thank you for your support, I highly appreciate it! The seam cut method presented on tha

imgproc dll error when trying to use findHomography I'm having a hard time figuring how to solve the error. The error sh

Thank you! The article proved to be really useful!

Advice regarding pattern recognition on images I'm trying to extract the pattern from an image of a textile material. Be

Advice regarding pattern recognition on images I'm trying to extract the pattern from an image of a textile material. Be

I highly appreciate your answer and your help! I thought about that solution too, ending up with one a bit more time eff

How can find a part of an image with the highest density of feature matches As the title says, I want to find the positi

How can find a part of an image with the highest density of feature matches As the title says, I want to find the positi

How can find a part of an image with the highest density of feature matches As the title says, I want to find the positi

Thanks a lot! That really helped me and as I'm a beginner in the computer vision development, I had no idea of such a f

I want to detect a repeating pattern in an image. So far I detected the contours for each individual object, separated each of the objects by their contours, ending up with a vector of objects of type A, a vector of objects of type B and so on.

Next I tried getting the pattern by extracting the object with the biggest area, putting it in a rectangle, next selecting one object of each kind which is positioned the closest to the current rectangle. After finding a new object, the rectangle would be resized, covering the new object too. In the end, after going through every type of objects and selecting the closest one to the current rectangle from each, I would end up with a rectangle inside which I would have the pattern found in the image.

Well, the problem with the method described is that in a pattern image we can have parts of an object at the sides of the image, and I would end up detecting them as a whole new type of object.

As the method described would try to get one of each type of objects inside a rectangle, I end up with a rectangle with the size of the image.

My questions here is, how could I detect a part of an object A, therefore not detecting it as a new type of an object? Also, could the hierarchy returned by the findContours be used in detecting the pattern from an image?

In case anyone has any idea of how I could detect a pattern in an image or is aware of some research paper related to the subject, I would appreciate if you would share it with me.

Detecting pattern in an image I want to detect a repeating pattern in an image. So far I detected the contours for each

Detecting pattern in an image I want to detect a repeating pattern in an image. So far I detected the contours for each

Incorect feature points of akaze feature matching of deformed objects I'm trying to match the feature points of a deform

Incorect feature points of akaze feature matching of deformed objects I'm trying to match the feature points of a deform