Image-template-matching

About the project:

• Takes 2 images: Original image and a sub instance of it (Line 5 and 6).
• Its purpose is to find where the sub image is located in its original one.
• It Loads images in gray scale for analysis.
• It uses multiple analysis methods to find the best one that founds a match.

Image analysis algorithms (methods):

• cv2.TM_CCOEFF, cv2.TM_CCOEFF_NORMED, cv2.TM_CCORR, cv2.TM_CCORR_NORMED, cv2.TM_SQDIFF and cv2.TM_SQDIFF_NORMED
• For cv2.TM_SQDIFF and cv2.TM_SQDIFF_NORMED, we use the min location values as starting point for the analysis.
• Every other method uses the max location value to do its job.

What did I learn from this:

• Difference between different image processing algorithms in OpenCV.
• .matchTemplete() and .minMaxLoc().
• Exiting the program when pressing a certain key on the keyboard.