In this post,we ‘ll look at detecting a SuDoKu puzzle. This include all preprocessing done on the image: filtering the image to ensure we’re not affected too much by noise. Also, segmenting the image is dealt with here. I’ve used a weird segmentation approach, so you might want to have a look at that. By [...]

Here’s an interesting project that I’ll be taking your over the next few days. We’ll create an app that can recognize a SuDoKu puzzle from a picture taken by a camera (maybe on a phone). We’ll be going over a lot of stuff: geometric transformations, character recognition, logic, etc. This post is an overview of [...]

Convolutions are a very important tool for anyone interested in signal processing. Image Convolutions is a simpler method to do convolutions on images. And they have a lot of uses too. So of course, OpenCV does have a way to do image convolutions easily and super efficiently! OpenCV’s Convolution Function The C++ convolution function The [...]

Labeling connected components in an image is a common operation. But the original algorithm proposed is slow. It works fine if the image is small. But as the image becomes larger, the algorithm slows down really fast. Recently, a few researchers find a simple solution to this. Image that previously took hundreds of seconds would [...]