Comparer des méthodes

	Détection de contours par Canny	Correspondance de modèle
Domaine	Vision par ordinateur	Vision par ordinateur
Famille	Machine learning	Machine learning
Année d'origine	1986	1980s
Auteur d'origine	John Canny	Computer vision community
Type	Image gradient analysis	Pattern matching and detection
Source fondatrice	Canny, J. (1986). A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 8(6), 679–698.	Lewis, J. P. (2004). Fast normalized cross-correlation. Vision Interface, 120–123.
Alias	Canny operator, Canny edge detector	Correlation-based matching, Similarity matching
Apparentées	5	5
Résumé	The Canny edge detector, introduced by John Canny in 1986, is a multi-stage algorithm for identifying edges in digital images where significant intensity changes occur. Canny's method is optimal for step edges in additive Gaussian noise and remains the gold standard for edge detection in computer vision due to its mathematical elegance and practical effectiveness.	Template matching is a straightforward technique for locating a known pattern (template) within a larger image. By sliding a template image across the target image and computing a similarity measure at each position, template matching identifies locations where the template appears. It is effective for simple object detection when templates are well-defined and appearance variation is limited.