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تجزئة مستجمعات المياه×عمليات التشكل الصوري×
المجالالرؤية الحاسوبيةالرؤية الحاسوبية
العائلةMachine learningMachine learning
سنة النشأة19791982
صاحب الطريقةSerge Beucher and Christian LantuéjoulJean Serra
النوعMorphological image segmentationSet theory and topological image processing
المصدر التأسيسيMeyer, 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 ↗
الأسماء البديلةWatershed transform, Water shedding segmentationMathematical morphology, Morphological filtering
ذات صلة55
الملخصWatershed 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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  1. v1
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  3. PUBLISHED

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ScholarGateقارن الطرق: Watershed Segmentation · Image Morphology Operations. استُرجع بتاريخ 2026-06-17 من https://scholargate.app/ar/compare