Semantic image segmentation is extensively used for automatic concrete crack detection. In
previous studies on semantic image segmentation, concrete images were usually labeled as …

During the last few years most work done on the task of image segmentation has been
focused on deep learning and Convolutional Neural Networks (CNNs) in particular. CNNs …

Deterioration of road and pavement surface conditions is an issue which directly affects the
majority of the world today. The complex structure and textural similarities of surface cracks …

Dramatic increase of available data in the last 20 years transformed the role of data in
artificial intelligence algorithms for problem solving. Deep learning embodies potentials for …

This paper addresses semantic image segmentation by incorporating rich information into
Markov Random Field (MRF), including high-order relations and mixture of label contexts …

Radiographic non-destructive evaluation (NDE) is an essential technique for understanding
defects in welds. These radiographs require certified workers to interpret them to identify the …

The task of classifying each pixel in an image is known as semantic segmentation in the
context of computer vision, and it is critical for image analysis in many domains. Semantic …

To nondestructive semantic segment the crack pixels in the image with high resolution,
previous methods often use sliding window and the crack patches to train the FCNs, and …

Fracture analysis represents one of the key investigations that needs to be carried in
borehole logs. Identifying fractures, as well as other similar features (like breakouts or …

Deep learning techniques have shown great potential in medical image processing,
particularly through accurate and reliable image segmentation on magnetic resonance …