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ee.Kernel.sobel
Page Summary
ee.Kernel.sobelgenerates a 3x3 Sobel edge-detection kernel.The
magnitudeargument scales the kernel values.The
normalizeargument normalizes the kernel values to sum to 1.The default Sobel kernel has weights represented by the matrix
[[-1, 0, 1], [-2, 0, 2], [-1, 0, 1]].
| Usage | Returns |
|---|---|
ee.Kernel.sobel(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 Sobel kernel',ee.Kernel.sobel());/** * Output weights matrix * * [-1, 0, 1] * [-2, 0, 2] * [-1, 0, 1] */
Python setup
See the Python Environment page for information on the Python API and usinggeemap for interactive development.
importeeimportgeemap.coreasgeemap
Colab (Python)
display('A Sobel kernel:',ee.Kernel.sobel())# Output weights matrix# [-1, 0, 1]# [-2, 0, 2]# [-1, 0, 1]
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Last updated 2023-10-06 UTC.