Automatic Defect Segmentation on Leather with Deep Learning

no code implementations • 28 Mar 2019 • Sze-Teng Liong, Y. S. Gan, Yen-Chang Huang, Chang-Ann Yuan, Hsiu-Chi Chang

Then, a series of processes are conducted to predict the defect instances, including elicitation of the leather images with a robot arm, train and test the images using a deep learning architecture and determination of the boundary of the defects using mathematical derivation of the geometry.

Defect Detection Specificity