Image Edge Detection. The Canny edge detector is an edge detection operator that uses a multi-stage algorithm to detect a wide range of edges in images. It was developed by John F. Canny in 1986.

Detection of “indeterministic” defect types such as cracks and/or scratches is quite challenging since such defects may have a variety of shapes, locations and severity. Deep learning, a subfield of ...

More information: Dinh-Cuong Hoang et al, Image-based anomaly detection in low-light industrial environments with feature enhancement, Results in Engineering (2025). DOI: 10.1016/j.rineng.2025.104309 ...

Automated glaucoma detection in images obtained by scanning laser polarimetry is currently insensitive to local abnormalities, impairing its performance. The purpose of this investigation was to ...