Many statistical learning methods such as matrix completion, matrix regression, and multiple response regression estimate a matrix of parameters. The nuclear norm regularization is frequently employed ...

Overview This MATLAB project demonstrates an image processing pipeline to detect, segment, and classify coins (dimes, nickels, quarters) from a composite grayscale image using Otsu thresholding, ...

Abstract: Thresholding is considered as a statistical-decision making theory which can lessen the average error incurred in allocating pixels to two or more groups ...

Edge detection is a fundamental task in image processing that aims to identify boundaries between objects or regions within an image. In this project, we explored the use of thresholding technique - ...