Machine learning methods and image processing were utilized to determine whether a surface contains a deformity. Through the development of a C++ program to generate surface deformities given image length, width, maximum deformity radius, and sample size as the training set, we utilize machine learning classifiers, namely Convolution Neural Networks (CNN), Support Vector Machines (SVC), and K-Means Clustering (KMC) to classify surfaces with either no impact, low impact, medium impact, or high impact.
