GitHub link for people who want to follow along on the lab: [email protected]:DrAlbertCruz/ECE-4470-LBP.git
A simple computer vision and machine learning example where we compare the results of a KNN classifier to predict the difference between images of Sponge Bob and literal sponges. An approach using a grayscale histogram is compared to an approach using uniform local binary patterns.
This video assumes you're familiar with these topics and is a tutorial on how to implement it in Python. Prerequisite topics: computer vision, grayscale image histograms, uniform local binary patterns, K-NN classifier, precision and recall.
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Computer Vision and Machine Learning: Local binary patterns and KNN | NatokHD