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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 learningMachine learning
提唱年19791982
提唱者Serge Beucher and Christian LantuéjoulJean Serra
種類Morphological image segmentationSet 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 segmentationMathematical morphology, Morphological filtering
関連55
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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ScholarGate手法を比較: Watershed Segmentation · Image Morphology Operations. 2026-06-17に以下より取得 https://scholargate.app/ja/compare