We will see in this article the principles of erosion and dilation of images which are widely used especially during the restoration of poor quality images.
In this article, which is above all practical, we will see how with your computer and Python to capture vocal information and transcribe it into text. Want to create your own digital assistant? why not, here’s how to start it anyway …
In the previous article we saw how our digital images were built and stored. This naturally brings us to the image histograms. Of course we don’t manage an image like we do for a text . Images are in fact just matrix (like a pixel map ), so first of all we need to analyse the image, and to do that we’ll take a look on the pixel histograms.
In this article we will see and especially understand how images are stored in a computer just to make it usable by other softwares. In fact, this post is the first within a series that will allow us to approach image processing in general but also subsequently the place of Artificial Intelligence and especially Deep Learning in this discipline which is part of a set known as computer vision.
As soon as you begin to create machine learning models, you will be faced with the delicate problem of balance in the adjustment of bias and variance. In this article I try to simply explain how understand these two very important concepts.