![]() ![]() ![]() ![]() Blurring to reduce high frequency noise to make our contour detection process more accurate.In order to accomplish these goals, we’ll need to perform a bit of image pre-processing, including: With this in mind, the goal of today’s tutorial is to (1) detect the outline of each shape in the image, followed by (2) computing the center of the contour - also called the centroid of the region. These are human drawn and human cut out shapes, implying there is variation in each shape type. The rectangles aren’t quite rectangular - and the circles are not entirely circular either. In above image, you can see a variety of shapes cut out from pieces of construction paper. Looking for the source code to this post? Jump Right To The Downloads Section OpenCV center of contour Figure 1: An example image containing a set of shapes that we are going to compute the center of the contour for. ![]()
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