Generates a 2x2 Roberts edge-detection kernel.
| Usage | Returns | ee.Kernel.roberts(magnitude, normalize) | Kernel |
| Argument | Type | Details | magnitude | Float, default: 1 | Scale each value by this amount. |
normalize | Boolean, default: false | Normalize the kernel values to sum to 1. |
Examples
Code Editor (JavaScript)
print('A Roberts kernel', ee.Kernel.roberts());
/**
* Output weights matrix; center is position [1,1]
*
* [1, 0]
* [0, -1]
*/
Python setup
See the
Python Environment page for information on the Python API and using
geemap for interactive development.
import ee
import geemap.core as geemap
Colab (Python)
from pprint import pprint
print('A Roberts kernel:')
pprint(ee.Kernel.roberts().getInfo())
# Output weights matrix; center is position [1,1]
# [1, 0]
# [0, -1]