Compara mètodes

	Segmentació Watershed	Operacions de Morfologia d'Imatge
Camp	Visió per computador	Visió per computador
Família	Machine learning	Machine learning
Any d'origen	1979	1982
Autor original	Serge Beucher and Christian Lantuéjoul	Jean Serra
Tipus	Morphological image segmentation	Set theory and topological image processing
Font seminal	Meyer, F. (1994). Topographic distance and watershed lines. Signal Processing, 38(1), 113–125.	Serra, J. (1982). Image Analysis and Mathematical Morphology. Academic Press.
Àlies	Watershed transform, Water shedding segmentation	Mathematical morphology, Morphological filtering
Relacionats	5	5
Resum	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.