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عمليات التشكل الصوري×تجزئة مستجمعات المياه×
المجالالرؤية الحاسوبيةالرؤية الحاسوبية
العائلةMachine learningMachine learning
سنة النشأة19821979
صاحب الطريقةJean SerraSerge Beucher and Christian Lantuéjoul
النوعSet theory and topological image processingMorphological image segmentation
المصدر التأسيسيSerra, J. (1982). Image Analysis and Mathematical Morphology. Academic Press. link ↗Meyer, F. (1994). Topographic distance and watershed lines. Signal Processing, 38(1), 113–125. DOI ↗
الأسماء البديلةMathematical morphology, Morphological filteringWatershed transform, Water shedding segmentation
ذات صلة55
الملخصMorphological 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.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.
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  3. PUBLISHED

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ScholarGateقارن الطرق: Image Morphology Operations · Watershed Segmentation. استُرجع بتاريخ 2026-06-18 من https://scholargate.app/ar/compare