Defect Detection in Tire X-Ray Images: Conventional Methods Meet Deep Structures

no code implementations • 28 Feb 2024 • Andrei Cozma, Landon Harris, Hairong Qi, Ping Ji, Wenpeng Guo, Song Yuan

This paper introduces a robust approach for automated defect detection in tire X-ray images by harnessing traditional feature extraction methods such as Local Binary Pattern (LBP) and Gray Level Co-Occurrence Matrix (GLCM) features, as well as Fourier and Wavelet-based features, complemented by advanced machine learning techniques.

Defect Detection Feature Engineering