Deep learning and image processing are effective tools to solve different problems.(I’m definitely guilty of classifying a few cats in my day). “Deep learning needs millions of examples and is only good for classifying pictures of cats anyway.” Two common perspectives are: “Deep learning has made ‘traditional’ image processing obsolete.” If you need a refresher on what deep learning is, check out this intro video! Now, let’s talk about how these two technologies relate to each other. Deep learning has has been revolutionizing the area of image processing in the past few years. For example, filtering, blurring, de-blurring, and edge detection (to name a few)Īutomatically identifying features in an image through learning on sample images. Transforming or modifying an image at the pixel level.

Image Processing and Deep Learning The two technologies I want to highlight today are: Image Processing This example highlights why deep learning and image processing are both useful for object detection and image classification. Those red numbers in the puzzle have been automatically added to the paper by the algorithm we're about to create. Today’s example will walk through using image processing and deep learning to automatically solve a Sudoku puzzle. This post is from a talk given by Justin Pinkney at a recent MATLAB Expo.

Solver matlab