Comparer des méthodes

	Détection de coins de Harris	Opérations morphologiques d'image
Domaine	Vision par ordinateur	Vision par ordinateur
Famille	Machine learning	Machine learning
Année d'origine	1988	1982
Auteur d'origine	Chris Harris and Mike Stephens	Jean Serra
Type	Interest point detector	Set theory and topological image processing
Source fondatrice	Harris, C., & Stephens, M. (1988). A combined corner and edge detector. Alvey Vision Conference, 147–152.	Serra, J. (1982). Image Analysis and Mathematical Morphology. Academic Press.
Alias	Harris Corner Detector, Harris-Stephens Detector, Plessey Operator	Mathematical morphology, Morphological filtering
Apparentées	5	5
Résumé	The Harris corner detector, introduced by Chris Harris and Mike Stephens in 1988, is a foundational method for identifying corners and interest points in digital images. Harris corners are points where two edges meet at a significant angle, making them stable and repeatable features for image analysis, matching, and 3D reconstruction.	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.