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[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-10-06 UTC."],[[["\u003cp\u003eGenerates a 3x3 Sobel kernel for edge detection in images.\u003c/p\u003e\n"],["\u003cp\u003eThe kernel can be scaled using the \u003ccode\u003emagnitude\u003c/code\u003e argument.\u003c/p\u003e\n"],["\u003cp\u003eOptionally, the kernel values can be normalized to sum to 1 using the \u003ccode\u003enormalize\u003c/code\u003e argument.\u003c/p\u003e\n"],["\u003cp\u003eUsage examples are provided in JavaScript, Python, and Colab environments.\u003c/p\u003e\n"]]],["The `ee.Kernel.sobel()` function creates a 3x3 Sobel edge-detection kernel. It accepts two arguments: `magnitude`, which scales the kernel values (default is 1), and `normalize`, which normalizes the kernel to sum to 1 (default is false). The function returns a Kernel object with the weights matrix: `[-1, 0, 1]`, `[-2, 0, 2]`, `[-1, 0, 1]`. The kernel can be used in both Javascript and Python coding environments.\n"],null,[]]