Convolutional Neural Networks for Defect Segmentation

This module contains code for training a convolutional neural network to perform pixel-wise segmentation of images of reinforced concrete bridges.

Currently supported codes

• A bridge image labeler
• A CNN for pixel-wise segmentation of delamination in infrared images of reinforced concrete

Future planned code includes

• A CNN for pixel-wise segmentation of numerous defects seen in visual spectrum images

Technical Requirements

• Image Labeler
  • Matlab R2017a or better
• CNN Defect Segmentation
  • Tensorflow (https://www.tensorflow.org/install?)
  • Keras (https://keras.io/#installation)
• For GPU acceleration consider:
  • https://www.tensorflow.org/install/gpu?