Salient Region Detection Methods with Application to Traffic Sign Recognition from Street View Images
Doktorsavhandling, 2016
normalized cut
traffic sign recognition
saliency propagation
color distribution
continuous conditional random field
manifold
Salient region detection
adaptive graph edge weights
color contrast
geodesics
Författare
Keren Fu
Chalmers, Signaler och system, Signalbehandling och medicinsk teknik
Geodesic Distance Transform-based Salient Region Segmentation for Automatic Traffic Sign Recognition
Proceedings - 2016 IEEE Intelligent Vehicles Symposium, IV 2016, Gotenburg, Sweden, 19-22 June 2016,;(2016)p. 948-953
Paper i proceeding
Geodesic Saliency Propagation for Image Salient Region Detection
IEEE Int'l conf. on Image Processing (ICIP 2013), Sept.15-18, Melbourne, Australia,;(2013)p. 3278-3282
Paper i proceeding
Superpixel based Color Contrast and Color Distribution Driven Salient Object Detection
Signal Processing: Image Communication,;Vol. 28(2013)p. 1448-1463
Artikel i vetenskaplig tidskrift
Normalized Cut-based Saliency Detection by Adaptive Multi-Level Region Merging
IEEE Transactions on Image Processing,;Vol. 24(2015)p. 5671-5683
Artikel i vetenskaplig tidskrift
Robust manifold-preserving diffusion-based saliency detection by adaptive weight construction
Neurocomputing,;Vol. 175(2016)p. 336-347
Artikel i vetenskaplig tidskrift
Traffic Sign Recognition using Salient Region Features: A Novel Learning-based Coarse-to-Fine Scheme
IEEE Intelligent Vehicles Symposium, June 28-July 1, 2015, Seoul, Korea,;(2015)p. 443-448
Paper i proceeding
Keren Fu, Irene Yu-Hua Gu, Jie Yang. "Saliency Detection by Fully Learning A Continuous Conditional Random Field"
Styrkeområden
Informations- och kommunikationsteknik
Ämneskategorier
Signalbehandling
Datorseende och robotik (autonoma system)
Medicinsk bildbehandling
ISBN
978-91-7597-493-4
Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 4174
Utgivare
Chalmers
Room EC-salen, Hörsalsvägen 11, EDIT building, 5th floor, Chalmers University of Technology
Opponent: Volker Krüger, Department of Mechanical and Production Engineering, Aalborg University, Denmark