Dectection shapes through image processing tools in MATLAB

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Ashes 2015-3-2

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评论： Image Analyst 2021-8-25

We are doing are project to detect shapes through image processing tools in MATLAB. We have used the canny method to detect the edges and bwareopen to remove small object from the image. We also using centriods, area and perimeter to detect the shapes. The problem we are having is that to find each shape the area is used, the problem with this is that it only works with certain size of shapes. If the size is too big or small it wont detect the shape. Is there any solution to detect shape with any size.

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Image Analyst 2015-3-2

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Try Hu's image moments - they're scale and rotation invariant. See this video by someone at the University of Arizona: https://www.youtube.com/watch?v=Nc06tlZAv_Q

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L 2021-8-12

OK, thank you for the quick response.

Too bad, that video looks great, and the code too.

It is not the problem the calculation of the moments, I don't know how to used them for object detection, i.e. to detect the object and mark it with the rectangle.

I am aware, that I need a template image with the custom object (the AC connector outlet for example) and I need the image with cluttered scene with the object in it. Then, I need to calculate the moments for both images, but later I don't know how to use them for the matching and marking.

An interesting case is when the AC outlet and the wall are both in same color (for example both are white, or both are gray, or both are black). Since the background and the object are the same, and the AC outlet is a very simple and primitive shape, maybe the moments are not the best way for the detection, I don't know. These are the worst examples for detection. I have attached you some images. Naturally, the goal is to detect the specified AC outlet (only one at the time) in any image (unrelated to the wall color).

Maybe you have a suggestion?

Thank you in advance.

L 2021-8-12

编辑：L 2021-8-14

Thank you.

SInce you have suggested the AI, you think it is impossible to detect the AC outlet without the CNN networks? I believe in your knowledge and experience, thank you.

I never used the CNN networks. I saw some examples on Mathworks and OpenCV related websites (OpenCV examples are related with Python frameworks if I understood correctly, but I am not a programmer, I am not familiar with Python).

But, I haven't seen the examples how can I train the networks with custom images (for example of I capture 20, 50, 100,... images with AC outlet)?

How should I import my images in the networks?

Also, I saw the RCNN networks on the website. Mask-RCNN in interesting on the first look.

Can you suggest me a link with an example where the Yolo, Segnet, or RCNN object detection are performed with custom images (not with already trained CNNs)? I cannot find such an example.

Also, is there an online tool for making these CNNs, and later maybe I could import them in the examples? I am not familiar with this topic.

Thank you in advance.