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Erratum to: A variant of the Hough Transform for the combined detection of corners, segments, and polylines (EURASIP Journal on Image and Video Processing, (2017), 1, 32, 10.1186/s13640-017-0180-7)

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ACCEDER A LA PUBLICACIÓN: Scopus Orcid

Bachiller-Burgos P., Manso L.J., Bustos P.

2017 EURASIP Journal on Image and Video Processing

Electrical and Electronic Engineering (Q2), Information Systems (Q2), Signal Processing (Q2)

JCR: 1.737

SJR: 0.409

CITAS

0

DOI

10.1186/s13640-017-0185-2

EID

2-s2.0-85019647019

ISSN

1687-5176

EISSN

1687-5281

BIBTEX

@article{Bachiller2017,title = {Erratum to: A variant of the Hough Transform for the combined detection of corners, segments, and polylines (EURASIP Journal on Image and Video Processing, (2017), 1, 32, 10.1186/s13640-017-0180-7)},journal = {Eurasip Journal on Image and Video Processing},year = {2017},volume = {2017},number = {1},author = {Bachiller-Burgos, P. and Manso, L.J. and Bustos, P.}}

AUTORES DE LA UEX

Pilar Bachiller Burgos
Pablo Bustos García De Castro

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Tecnologías De La Información Y Las Comunicaciones Aplicadas Al Teletrabajo Y La Innovación Docente (Ticatid)
A Simple Platform-Independent Web Application Development Process
Tecnologías De La Información Y Las Comunicaciones Aplicadas Al Teletrabajo Y La Innovación Docente (Ticatid)
Transparent Distribution In A Web Application Server
Tecnologías De La Información Y Las Comunicaciones Aplicadas Al Teletrabajo Y La Innovación Docente (Ticatid)
Transparent Distribution In A Web Application Server
Optimizing And Learning Algorithm For Feed-Forward Neural Networks
Transparent Distribution In A Web Application Server
Optimizing And Learning Algorithm For Feed-Forward Neural Networks
Optimal Hidden Structure For Feedforward Neural Networks
Optimizing And Learning Algorithm For Feed-Forward Neural Networks
Optimal Hidden Structure For Feedforward Neural Networks
Neural Network Quantifier For Solving The Mixture Problem And Its Implementation By Systolic Arrays
Optimal Hidden Structure For Feedforward Neural Networks
Neural Network Quantifier For Solving The Mixture Problem And Its Implementation By Systolic Arrays
Distributed Architecture For Active Perception In Autonomous Robots
Neural Network Quantifier For Solving The Mixture Problem And Its Implementation By Systolic Arrays
Distributed Architecture For Active Perception In Autonomous Robots
Complex Behaviour Generation On Autonomous Robots: A Case Study
Distributed Architecture For Active Perception In Autonomous Robots
Complex Behaviour Generation On Autonomous Robots: A Case Study
Building The Knowledge Base Of A Production System From The Raw Data Of A Multi-Sensor System
Complex Behaviour Generation On Autonomous Robots: A Case Study
Building The Knowledge Base Of A Production System From The Raw Data Of A Multi-Sensor System
Experimental Comparison Of Sensors For Tool-Wear Monitoring On Milling
Building The Knowledge Base Of A Production System From The Raw Data Of A Multi-Sensor System
Experimental Comparison Of Sensors For Tool-Wear Monitoring On Milling
Data Structures For Multi-Sensor Integration
Experimental Comparison Of Sensors For Tool-Wear Monitoring On Milling
Data Structures For Multi-Sensor Integration
An Efficient And Versatile Digital Twin Model Implementation For Autonomous Connected Vehicles Based On Distributed, Low-Latency Working Memory
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