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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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-10-06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 kernel for edge detection using the Laplacian-8 algorithm.\u003c/p\u003e\n"],["\u003cp\u003eThe kernel has a center weight of -8 and surrounding weights of 1, enhancing edges in an image.\u003c/p\u003e\n"],["\u003cp\u003eUsers can adjust the \u003ccode\u003emagnitude\u003c/code\u003e to scale the kernel values and \u003ccode\u003enormalize\u003c/code\u003e them to sum to 1.\u003c/p\u003e\n"]]],["The `ee.Kernel.laplacian8()` function generates a 3x3 Laplacian-8 edge-detection kernel. It accepts two optional arguments: `magnitude` (float, default 1) to scale kernel values, and `normalize` (boolean, default false) to normalize values to sum to 1. The function returns a Kernel object. The default kernel matrix consists of ones around the perimeter and negative eight in the center: [[1, 1, 1], [1, -8, 1], [1, 1, 1]].\n"],null,[]]