Image Analysis Of Microscopic Textures Using Machine Learning Techniques

Abstract

Microscopic image analysis is a fundamental aspect of scientific research, industrial quality control, and medical diagnostics. This thesis delves into the application of machine learning techniques for the analysis of microscopic textures, aiming to provide automated and accurate solutions for texture characterization, classification, and anomaly detection.