From the course: OpenCV for Python Developers
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Introduction to template matching
From the course: OpenCV for Python Developers
Introduction to template matching
- [Instructor] When it comes to feature detection, template matching is a readily available and straightforward method. The way template matching works is it searches for a similar pattern between two images. This is accomplished by taking a reference image, called a template, and sliding it around the other comparison image, taking a difference at every position. The result is a black and white, grayscale image, with varying intensities showing how well it matched in each position. Using a 1D, somewhat modified example, we can see that as we slide our template, which is a triangle, across the screen, it does a comparison at each spot. On the far left, there are no matches, so it has a perfectly black value but as it goes to the right and starts to overlap, it gets a gray value, indicating a partial match at some of the pixels of the template itself. Then, when it perfectly overlaps the red triangle in the image, it…
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