Machine learningBoundary detection
轮廓分析
轮廓分析是通过识别连接的边缘并提取形状信息来检测和分析图像中对象边界的过程。Suzuki-Abe算法提供了一种在二值图像中查找轮廓的高效方法，从而能够进行基于形状的对象分类和分割。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Suzuki, S., & Abe, K. (1985). Topological structural analysis of digitized binary images by border following. Computer Vision, Graphics, and Image Processing, 30(1), 32–46. DOI: 10.1016/0734-189X(85)90016-7 ↗
- Hu, M. K. (1962). Visual pattern recognition by moment invariants. IRE Transactions on Information Theory, 8(2), 179–187. DOI: 10.1109/TIT.1962.1057692 ↗
如何引用本页
ScholarGate. (2026, June 3). Contour Detection and Analysis. ScholarGate. https://scholargate.app/zh/computer-vision/contour-analysis
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.
- 斑点检测计算机视觉↔ compare
- Canny边缘检测计算机视觉↔ compare
- Harris Corner Detection计算机视觉↔ compare
- 图像形态学操作计算机视觉↔ compare
- 分水岭分割计算机视觉↔ compare