Image segmentation is a branch of computer vision which aims to provides a human oriented interpretation of an image. We humans are able to visualize the contours/boundaries of objects in an image which allows us to distinguish the particular object from the rest of the scene. However to a computer an object is just a … Continue reading An Introduction To Object Segmentation →

Over the years several types of clustering algorithms have been developed. These algorithms are generally divided into 4 subcategories (Partitioning algorithms, hierarchical algorithms, density algorithms, and model based algorithms). Partitioning algorithms are the most commonly used algorithms as they are simple and intuitive. Partitioning algorithms divide the data into several partitions and evaluate them by … Continue reading A Comparison Between K-Means Clustering And Expectation Maximization Estimation →