Comparer des méthodes

	Opérations morphologiques d'image	Détection de blobs
Domaine	Vision par ordinateur	Vision par ordinateur
Famille	Machine learning	Machine learning
Année d'origine	1982	1998
Auteur d'origine	Jean Serra	Tony Lindeberg
Type	Set theory and topological image processing	Multi-scale feature detection
Source fondatrice	Serra, J. (1982). Image Analysis and Mathematical Morphology. Academic Press.	Lindeberg, T. (1998). Feature detection with automatic scale selection. International Journal of Computer Vision, 30(2), 79–116.
Alias	Mathematical morphology, Morphological filtering	Connected component analysis, Region-based detection
Apparentées	5	5
Résumé	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.	Blob detection is a technique for identifying regions of interest (blobs)—connected, homogeneous areas that differ from their surroundings—at multiple scales. Introduced by Lindeberg in the context of scale-space theory, blob detection automatically finds and characterizes circular or elliptical objects without requiring a priori knowledge of their size.