Categories: AI/ML Research

How to Read, Write, Display Images in OpenCV and Converting Color Spaces

When working with images, some of the most basic operations that are essential to get a grip on include reading the images from disk, displaying them, accessing their pixel values, and converting them from one color space to another. This tutorial explains these basic operations, starting first with a description of how a digital image […]

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Image Vector Representation for Machine Learning Using OpenCV

One of the pre-processing steps that are often carried out on images before feeding them into a machine learning algorithm is to convert them into a feature vector. As we will see in this tutorial, there are several advantages to converting an image into a feature vector that makes the…

November 24, 2023

In "AI/ML Research"

How to Read and Display Videos Using OpenCV

Digital videos are close relatives of digital images because they are, indeed, made up of many digital images that are sequentially displayed in rapid succession to create the effect of moving visual data. The OpenCV library provides several methods to work with videos, such as reading video data from different…

October 25, 2023

In "AI/ML Research"

Image Feature Extraction in OpenCV: Keypoints and Description Vectors

In the previous post, you learned some basic feature extraction algorithms in OpenCV. The features are extracted in the form of classifying pixels. These indeed abstract the features from images because you do not need to consider the different color channels of each pixel, but to consider a single value.…

November 13, 2023

In "AI/ML Research"

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