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 latter more efficient.
Among the different techniques for converting an image into a feature vector, two of the most popular techniques used in conjunction with different machine learning algorithms are the Histogram of Oriented Gradients and the Bag-of-Words techniques.
In this tutorial, you will discover the Histogram of Oriented Gradients (HOG) and the Bag-of-Words (BoW) techniques for image vector representation.
After completing this tutorial,