Yash Joshi - OpenGenus IQ: Computing Expertise & Legacy

Connected Component Labeling

This article covers: Connected Components (also known as Connected Component Analysis, Blob Extraction, Region Labeling, Blob Discovery or Region Extraction), Connected Component Labeling, Algorithms and an Example of Applying in Python using OpenCV.

Machine Learning (ML)

Contrast Enhancement Algorithms

This article covers: Contrast and Contrast Enhancement, Types of Contrast Enhancement: Histogram Equalization, Contrastive Limited Adaptive Equalization, Contrast Stretching and how to implement these in Python using OpenCV.

Machine Learning (ML)

Bayesian Belief Networks

This article covers: Prerequisite Probability concepts for Bayesian Belief Networks(BBNs), BBN components: Directed Acyclic Graph and Conditional Probability Table and implementation example in Python.

Machine Learning (ML)

Applications of Principal Component Analysis (PCA)

This article gives a brief introduction to PCA and explains the applications of Principal Component Analysis in Neuroscience, Quantitative Finance, Image Compression (with a coding example), Facial Recogntion and others.