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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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-10-06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\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,[]]