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. Canny also produced a ...

The thresholding operation converts the image into a binary image, which is followed by Canny edge detection. The Hough transform is then used to extract the lines from the image, fill in holes in the ...

The quantum image edge detection algorithm is based on quantum state encoding and quantum convolution principles. It maps image pixel information into quantum state vectors and performs feature ...

It runs a tweaked version of the Canny Edge Detector to determine where the pen strokes go. This is an alternative to capturing the subject through the webcam.

It was also compared to four other shadow detection models, namely the Canny edge detection, multilevel thresholding, random forest, and convolutional neural network (CNN).