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OpenCV 3 Computer Vision with Python Cookbook
book

OpenCV 3 Computer Vision with Python Cookbook

by Aleksei Spizhevoi, Aleksandr Rybnikov
March 2018
Beginner to intermediate
306 pages
9h 54m
English
Packt Publishing
Content preview from OpenCV 3 Computer Vision with Python Cookbook

How it works...

cv2.matchTemplate is used to find image regions that are similar to the template. The similarity can be determined with different methods (different mathematical operations to get the difference between the template and a patch on the image). But, none of these methods are able to find templates with different scales or orientations.

This function takes source image, search template, and the method of patch and template comparison. The methods are determined by these values: cv2.TM_CCOEFF, cv2.TM_CCOEFF_NORMED, cv2.TM_CCORR, cv2.TM_CCORR_NORMED, cv2.TM_SQDIFF or cv2.TM_SQDIFF_NORMED. The methods with CCOEFF in the name use correlation coefficient computation, like the similarity measure—the bigger the value, the more similar ...

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Publisher Resources

ISBN: 9781788474443Supplemental Content