Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Lucero Verónica Lozano-Vázquez"'
Autor:
Armando Adrián Miranda-González, Alberto Jorge Rosales-Silva, Dante Mújica-Vargas, Ponciano Jorge Escamilla-Ambrosio, Francisco Javier Gallegos-Funes, Jean Marie Vianney-Kinani, Erick Velázquez-Lozada, Luis Manuel Pérez-Hernández, Lucero Verónica Lozano-Vázquez
Publikováno v:
Entropy, Vol 25, Iss 10, p 1467 (2023)
Noise suppression algorithms have been used in various tasks such as computer vision, industrial inspection, and video surveillance, among others. The robust image processing systems need to be fed with images closer to a real scene; however, sometim
Externí odkaz:
https://doaj.org/article/f8ac472021d64202a7e51077f13a6b85
Autor:
Lucero Verónica Lozano-Vázquez, Jun Miura, Alberto Jorge Rosales-Silva, Alberto Luviano-Juárez, Dante Mújica-Vargas
Publikováno v:
Mathematics, Vol 10, Iss 14, p 2407 (2022)
This paper describes an image enhancement method for reliable image feature matching. Image features such as SIFT and SURF have been widely used in various computer vision tasks such as image registration and object recognition. However, the reliable
Externí odkaz:
https://doaj.org/article/8de3f9bc5dc0447e8d03db6a232a6180