What is the best way to detect Man Made Objects in images with natural background?

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Mostafa 2013-11-30

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评论： Mostafa 2014-1-9

I'm trying to write an algorithm to detect man made object in the natural images, I found that many papers talking about detecting objects from the aerial view which is differ from what I want to do. If you have any suggestions or any ideas about this topic, please kindly share and thank you in advance!!

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Answer 1

Image Analyst 2013-11-30

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There are complicated algorithms that go way beyond the scope of what's discussed here so all I can do it to refer you to the algorithms and you can do a search for them. I think you'll want to look at "material detection" algorithms https://www.google.com/#q=material+detection+belief+map and "Main subject detection" (MSD) algorithms https://www.google.com/#q=main+subject+detection+belief+map. It's a new field that I think is just becoming of more interest due to proliferation of stock photography databases and CBIR (content based image retrieval). Sorry, but I don't have any MATLAB code for it.

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Mostafa 2013-12-1

Thank you for your reply! I was reading many topics about these concepts but unfortunately I got confused. I couldn't understand their methods well because they are not clear enough to me. Anyway, I appreciate your help and if there are any other ideas or suggestions please kindly share :)

Thank you!

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Answer 2

Andre Cavalcante 2013-12-18

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Hi, I have worked on a very simple and lightweight system for segmenting natural and man-made structures in real-world scenes. It is described in the paper "Segmentation of natural and man-made structures by independent component analysis". I am sending the paper and code to your email.

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Mostafa 2014-1-9

Thank you for your reply! Could you please send the code to my email!?

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Answer 3

Mostafa 2013-12-20

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Thank you for your consideration. I have searched about this paper and I found it. I took a quick look at it and it looks appropriate for my topic. I will read it again in details to see how can I use it to support my topic's progress.

Thanks again!