![]() ![]() # lets read our new image that we are going to use for drawing simple shape read_image ( "./cb.jpg", mode = 0 ) cv = ip. readmode = " ) return cimg ip = ImageProcessing () img = ip. Using primary-grade mathematics, I will start drawing simple geometrical shapes on python and compare them with OpenCV’s own methods.Ĭlass ImageProcessing : def _init_ ( self ): self.Writing an Image Processing Class from Scratch on Python. ![]() So it will be helpful to view that one also. The method I am including here will be added to the previous Image Processing Class (which is also given below) I have used to do Convolution and Colorspace changes. And the author also introduced the awesome book The Housekeeper and the Professor. Author really has a great way of describing the mathematical terms and I have learned a lot of concepts on Mathematics from there. In fact I am going to use some simple geometrical concepts to draw these basic shapes using only NumPy and Matplotlib.Īlso, I have to mention the awesome book named The Journey of X: A Guided Tour of Mathematics by Steven Strogatz. I am highly inspired by the book named Image Operators: Image Processing in Python by Jason M. Now is the time to start drawing simple geometrical shapes on python like circles, rectangles, ellipses and get the flashback of childhood. Last time I did Convolution operations from Scratch and RGB to GrayScale conversion, etc. Now in this series of tasks, I am going to tackle some of the interesting image processing concepts from scratch using Python and then will compare them with the popular OpenCV framework. Drawing Simple Geometrical Shapes on Python Using NumPy and Visualize Itĭrawing Simple Geometrical Shapes on Python from scratch, have you tried it? ![]()
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