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ee.Kernel.prewitt
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Generates a 3x3 Prewitt edge-detection kernel.
Usage | Returns | ee.Kernel.prewitt(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 Prewitt kernel', ee.Kernel.prewitt());
/**
* Output weights matrix
*
* [1, 0, -1]
* [1, 0, -1]
* [1, 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 Prewitt kernel:')
pprint(ee.Kernel.prewitt().getInfo())
# Output weights matrix
# [1, 0, -1]
# [1, 0, -1]
# [1, 0, -1]
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[[["\u003cp\u003eCreates a 3x3 Prewitt kernel for edge detection in images.\u003c/p\u003e\n"],["\u003cp\u003eAllows for scaling of kernel values using the \u003ccode\u003emagnitude\u003c/code\u003e argument.\u003c/p\u003e\n"],["\u003cp\u003eOffers kernel normalization with the \u003ccode\u003enormalize\u003c/code\u003e argument, ensuring values sum to 1.\u003c/p\u003e\n"],["\u003cp\u003eProvides examples in JavaScript, Python, and Colab for utilizing the kernel.\u003c/p\u003e\n"]]],["The `ee.Kernel.prewitt()` function generates a 3x3 Prewitt edge-detection kernel. It accepts two optional arguments: `magnitude`, which scales the kernel values (defaulting to 1), and `normalize`, which normalizes the values to sum to 1 (defaulting to false). The function returns the kernel. Without arguments, it produces a kernel with weights: [[1, 0, -1], [1, 0, -1], [1, 0, -1]].\n"],null,["# ee.Kernel.prewitt\n\nGenerates a 3x3 Prewitt edge-detection kernel.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|----------------------------------------------------|---------|\n| `ee.Kernel.prewitt(`*magnitude* `, `*normalize*`)` | Kernel |\n\n| Argument | Type | Details |\n|-------------|-------------------------|------------------------------------------|\n| `magnitude` | Float, default: 1 | Scale each value by this amount. |\n| `normalize` | Boolean, default: false | Normalize the kernel values to sum to 1. |\n\nExamples\n--------\n\n### Code Editor (JavaScript)\n\n```javascript\nprint('A Prewitt kernel', ee.Kernel.prewitt());\n\n/**\n * Output weights matrix\n *\n * [1, 0, -1]\n * [1, 0, -1]\n * [1, 0, -1]\n */\n```\nPython setup\n\nSee the [Python Environment](/earth-engine/guides/python_install) page for information on the Python API and using\n`geemap` for interactive development. \n\n```python\nimport ee\nimport geemap.core as geemap\n```\n\n### Colab (Python)\n\n```python\nfrom pprint import pprint\n\nprint('A Prewitt kernel:')\npprint(ee.Kernel.prewitt().getInfo())\n\n# Output weights matrix\n\n# [1, 0, -1]\n# [1, 0, -1]\n# [1, 0, -1]\n```"]]