Machine learningShape detection
霍夫变换
霍夫变换是一种用于在数字图像中检测直线、圆形和其他几何形状的技术。该技术由保罗·霍夫于1962年首次获得专利，并于1972年由杜达和哈特在计算机视觉领域推广。霍夫变换将图像空间中的边缘点转换为参数空间（累加器空间）中的曲线，其中共线或共圆的点会聚集并变得易于识别。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Hough, P. V. C. (1962). Method and means for recognizing complex patterns. U.S. Patent 3,069,654. link ↗
- Duda, R. O., & Hart, P. E. (1972). Use of the Hough transformation to detect lines and curves in pictures. Communications of the ACM, 15(1), 11–15. DOI: 10.1145/361237.361242 ↗
如何引用本页
ScholarGate. (2026, June 3). Hough Transform for Line and Shape Detection. ScholarGate. https://scholargate.app/zh/computer-vision/hough-transform
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.
- Canny边缘检测计算机视觉↔ compare
- 轮廓分析计算机视觉↔ compare
- Harris Corner Detection计算机视觉↔ compare
- 图像形态学操作计算机视觉↔ compare
- 模板匹配计算机视觉↔ compare