A study of observation scales based on felzenswalb-huttenlocher dissimilarity measure for hierarchical segmentation

• Autores: Cayllahua-Cahuina E., Cousty J., Guimarães S., Kenmochi Y., Cámara-Chávez G., de Albuquerque Araújo A.
• Formato: objeto de conferencia
• Fecha de Publicación: 2019
• Institución: Consejo Nacional de Ciencia Tecnología e Innovación
• Repositorio: CONCYTEC-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorio.concytec.gob.pe:20.500.12390/503
• Enlace del recurso: https://hdl.handle.net/20.500.12390/503; https://doi.org/10.1007/978-3-030-14085-4_14
• Nivel de acceso: acceso abierto
• Materia: Segmentation results; Geometry; Graphic methods; Dissimilarity measures; Hierarchical graphs; Hierarchical segmentation; Scale selection; Scale spaces; Image segmentation; https://purl.org/pe-repo/ocde/ford#2.02.00

The research leading to these results has received funding from the French Agence Nationale de la Recherche, grant ANR-15-CE40-0006 (CoMeDiC), the Brazilian Federal Agency of Support and Evaluation of Postgraduate Education (program CAPES/PVE: grant 064965/2014-01), Brazilian Federal Agency of Research (CNPq/Universal 421521/2016-3 and CNPq/PQ 307062/2016-3), Fundo de Amparo Pesquisa do Estado de Minas Gerais (FAPEMIG/PPM 00006-16), the Peruvian agency Consejo Nacional de Ciencia, Tecnológica CONCYTEC (contract N 101-2016-. FONDECYT-DE). The first author would like to thank Brazilian agencies CNPq and CAPES and Peruvian agency CONCYTEC for the financial support during his thesis.