手法を比較
選択した手法を並べて確認できます。異なる行はハイライト表示されます。
| フーリエ変換× | イメージ形態学演算× | |
|---|---|---|
| 分野 | コンピュータビジョン | コンピュータビジョン |
| 系統 | Machine learning | Machine learning |
| 提唱年≠ | 1962 | 1982 |
| 提唱者≠ | Paul Hough | Jean Serra |
| 種類≠ | Feature extraction and pattern recognition | Set theory and topological image processing |
| 原典≠ | Hough, P. V. C. (1962). Method and means for recognizing complex patterns. U.S. Patent 3,069,654. link ↗ | Serra, J. (1982). Image Analysis and Mathematical Morphology. Academic Press. link ↗ |
| 別名 | Hough Line Detection, Generalized Hough Transform | Mathematical morphology, Morphological filtering |
| 関連 | 5 | 5 |
| 概要≠ | The Hough Transform is a technique for detecting lines, circles, and other geometric shapes in digital images. Originally patented by Paul Hough in 1962 and popularized in computer vision by Duda and Hart in 1972, the Hough Transform converts edge points in image space to curves in a parameter space (accumulator space), where collinear or co-circular points cluster and become easily identifiable. | Morphological image processing, introduced by Jean Serra in 1982, is a technique based on set theory that reshapes and analyzes image regions using geometric structuring elements. Core operations include erosion and dilation, which can be combined into more complex operations like opening and closing, enabling noise removal, edge detection, and object analysis. |
| ScholarGateデータセット ↗ |
|
|