How to program the opencv edge detection function?
This time around, we’ll look at edge detection, which allows you to distinguish objects from the background. This task is usually the starting point for more advanced content analysis (eg determining the features of objects, quantities, etc.). Again, OpenCV makes this easier by providing Imgproc.Canny () a method that does all the work for us. The method itself, nomen omen, uses Canny’s algorithm to accomplish this task. As always, we start out by creating an array from the initial bitmap. Then create a table in which all calculation results will be saved and convert the image to grayscale. And finally, use the Imgproc.Canny () method for edge detection. Now we can display two images: the original one and the other resulting from our Imgproc.Canny () method. OpenCV can provide great results with minimal effort when creating a mobile application. It’s a great and useful library that provides tons of ready-to-use solutions. Thanks to the Zaven company, you can be sure that we will think about everything. We are a Polish process-based software development company. We help companies reach their audience using advanced web and mobile applications.
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