Canny edge detection
- operators.image.canny_edge_detection(client, input_file='in.tif', output_file='out.tif', sigma=1.0, low_threshold=0.1, high_threshold=0.2, values_subset='', instance_type='x2large')
- Perform Canny edge detection on a georeferenced image and save the detected edges as a raster.
- canny_edge_detection( client,input_file=’in.tif’,output_file=’out.tif’,sigma=1.0,low_threshold=0.1,high_threshold=0.2,values_subset=’’,instance_type=’x2large’ )
- Parameters:
input_file – Input image file
output_file – Output edge raster file
sigma – Standard deviation of the Gaussian filter
low_threshold – Low threshold for hysteresis
high_threshold – High threshold for hysteresis
values_subset – Subset of values to extract contours from, all values by default
instance_type – type of cloud instance used for processing