Machine learningEdge detection
Canny边缘检测
Canny边缘检测器由John Canny于1986年提出，是一种用于识别数字图像中发生显著强度变化的边缘的多阶段算法。Canny方法对加性高斯噪声中的阶跃边缘最为优化，并且由于其数学上的优雅和实际的有效性，仍然是计算机视觉中边缘检测的黄金标准。
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来源
- Canny, J. (1986). A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 8(6), 679–698. DOI: 10.1109/TPAMI.1986.4767851 ↗
- Sobel, I., & Feldman, G. (1968). A 3x3 isotropic gradient operator for image processing. Pattern Recognition and Machine Intelligence, 271–272. link ↗
如何引用本页
ScholarGate. (2026, June 3). Canny Edge Detection Algorithm. ScholarGate. https://scholargate.app/zh/computer-vision/canny-edge-detection
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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- 图像形态学操作计算机视觉↔ compare
- 模板匹配计算机视觉↔ compare