I'm intending to write a program to detect and differentiate certain objects from a nearly solid background. The foreground and the background have a high contrast difference which I would further increase to aid in the object identification process. I'm planning to use Hough transform technique and OpenCV.

Sample image

As seen in the above image, I would want to separately identify the circular objects and the square objects (or any other shape out of a finite set of shapes). Since I'm quite new to image processing I do not have an idea whether such a situation needs a neural network to be implemented and each shape to be learned beforehand. Would a technique such as template matching let me do this without a neural network?

image-processing opencv pattern-matching computer-vision
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