[[["わかりやすい","easyToUnderstand","thumb-up"],["問題の解決に役立った","solvedMyProblem","thumb-up"],["その他","otherUp","thumb-up"]],[["必要な情報がない","missingTheInformationINeed","thumb-down"],["複雑すぎる / 手順が多すぎる","tooComplicatedTooManySteps","thumb-down"],["最新ではない","outOfDate","thumb-down"],["翻訳に関する問題","translationIssue","thumb-down"],["サンプル / コードに問題がある","samplesCodeIssue","thumb-down"],["その他","otherDown","thumb-down"]],["最終更新日 2025-02-18 UTC。"],[[["Earth Engine provides several specialized edge detection algorithms, including Canny edge detection, Hough transform, and zero-crossing algorithms, for image processing tasks."],["The Canny edge detection algorithm identifies edges by calculating gradient magnitude and suppressing those of smaller magnitudes, optionally using a Gaussian pre-filter to remove noise."],["The Hough transform can be used for line extraction from edge detector results, enabling the identification of linear features in images."],["The zero-crossing algorithm detects edges by identifying pixels where neighboring pixels have opposite signs, often applied to the second derivative of an image for enhanced edge detection."],["Earth Engine offers the flexibility to adjust parameters like thresholds and sigma values to fine-tune the performance of these algorithms for specific image analysis requirements."]]],["Earth Engine offers specialized edge detection algorithms, including Canny edge detection, which uses filters to identify edges and compute gradient magnitudes, suppressing smaller ones. The Hough transform extracts lines from Canny results. `zeroCrossing()` detects edges by identifying pixels with sign changes relative to neighboring pixels. This can be applied to an image's second derivative using Gaussian kernels. The provided code examples demonstrate these techniques, using `CannyEdgeDetector`, `HoughTransform`, and `zeroCrossing()`, respectively.\n"]]