Analysis of image transfer mechanisms in a RESTful API client-server architecture and its application to lane detection

Luis Moron-Rodriguez, Bryan Longa-Chevarria, Pedro Shiguihara-Juarez

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

This study investigates the effect of image rescaling and format changing hosted in a RESTful API architecture considering transfer time as a critical factor to apply lane detection on a external server. We employ Probabilistic Hough Transform to perform the detection because it is invariant to pixel position and robust to noise. Before being trasmitted to the external server, images are rescaled and their formats are changed, this way lane detection on the images can be performed faster than working with the original images. From the image formats used in the experiments, the JPG or JPEG yields the best results. When performing the rescaling and format change, transmission and processing time is halved.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 2017 IEEE International Conference on Aerospace and Signals, INCAS 2017
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas1-4
Número de páginas4
ISBN (versión digital)9781538632789
DOI
EstadoPublicada - 28 nov. 2017
Publicado de forma externa
Evento2017 IEEE International Conference on Aerospace and Signals, INCAS 2017 - Lima, Perú
Duración: 8 nov. 201710 nov. 2017

Serie de la publicación

NombreProceedings of the 2017 IEEE International Conference on Aerospace and Signals, INCAS 2017
Volumen2017-November

Conferencia

Conferencia2017 IEEE International Conference on Aerospace and Signals, INCAS 2017
País/TerritorioPerú
CiudadLima
Período8/11/1710/11/17

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