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| 分水嶺セグメンテーション× | 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≠ | 1979 | 1982 |
| 提唱者≠ | Serge Beucher and Christian Lantuéjoul | Jean Serra |
| 種類≠ | Morphological image segmentation | Set theory and topological image processing |
| 原典≠ | Meyer, F. (1994). Topographic distance and watershed lines. Signal Processing, 38(1), 113–125. DOI ↗ | Serra, J. (1982). Image Analysis and Mathematical Morphology. Academic Press. link ↗ |
| 別名 | Watershed transform, Water shedding segmentation | Mathematical morphology, Morphological filtering |
| 関連 | 5 | 5 |
| 概要≠ | Watershed segmentation is a morphological image processing technique that automatically segments an image into distinct regions by treating image intensity as a topographic landscape where each object corresponds to a valley. Introduced by Beucher and Lantuéjoul in 1979 and refined by Meyer, the watershed algorithm is particularly effective for separating touching or overlapping objects. | 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. |
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