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Computer Vision with Python 3 by Saurabh Kapur

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What this book covers

Chapter 1, Introduction to Image Processing, as the name suggests, introduces the reader to the basics of image processing. Starting with some common use cases of image processing, the chapter goes on to explain how to install different image processing libraries. The next few sections in the chapter explain how to read/write an image and perform basic image manipulation operations.

Chapter 2, Filters and Features, gives the reader an overview of what filters and features mean in the context of computer vision. We start with convolution, which forms the basis of applying any filter to an image. Then we look at some common filters, such as Gaussian Blur and Median Blur. The second half of the chapter explains the basic ...

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