Automatic generation of consensus ground truth for the comparison of edge detection techniques

Autor:	A. Carmona-Poyato, F. J. Madrid-Cuevas, N. L. Fernández-García, Rafael Medina-Carnicer
Rok vydání:	2008
Předmět:	Ground truth Computer science business.industry Detector Real image Minimax Edge detection Consensus method Signal Processing Computer vision Computer Vision and Pattern Recognition Artificial intelligence Enhanced Data Rates for GSM Evolution business
Zdroj:	Image and Vision Computing. 26:496-511
ISSN:	0262-8856
DOI:	10.1016/j.imavis.2007.06.009
Popis:	Two new methods are proposed to automatically generate consensus ground truth for real images: Minimean and Minimax methods. These methods and a version of the Yitzhaky and Peli method have been used to provide ground truth for the comparison of edge detection techniques. The developed experiments have revealed that the Minimean consensus method is suitable for the comparison of edge detectors because its results are equivalent to those obtained with artificial or manual ground truth.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::46312ed21966f915b0c8cd9baf35a531 https://doi.org/10.1016/j.imavis.2007.06.009 Zobrazit plný text záznamu Full Text from ScienceDirect