A Biologically-Inspired Framework for Contour Detection Using Superpixel-Based Candidates and Hierarchical Visual Cues

Contour detection has been extensively investigated as a fundamental problem in computer vision. In this study, a biologically-inspired candidate weighting framework is proposed for the challenging task of detecting meaningful contours. In contrast to previous models that detect contours from pixels...

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Detalles Bibliográficos
Autores principales: Sun, Xiao, Shang, Ke, Ming, Delie, Tian, Jinwen, Ma, Jiayi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634520/
https://www.ncbi.nlm.nih.gov/pubmed/26492252
http://dx.doi.org/10.3390/s151026654

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634520/
https://www.ncbi.nlm.nih.gov/pubmed/26492252
http://dx.doi.org/10.3390/s151026654

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