Disclaimer: I'm a computer vision rookie. I have seen a lot of stack overflow posts of how to find a specific sub-image in a larger image. My usecase is a bit different since I don't want it to be specific and I'm not sure how I can do this (if it's even possible, but I have a feeling it should). I have a large datasets of images, of sometimes, some of this images are a combination of two or more other images of the dataset. I'd like to automatically crop theses "combinations" to isolate the sub-images. So the tasks would be to process each image of the dataset, and check if there are abnormal boundaries that could mean the image is a combination. Example using great stock images: What I've tried: I've seen that houghs transform could be used for line detection in images but I'm couldn't achieve anything using this. Continue reading...
