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Fusion of Different Sensors and Algorithms for Segmentation

  • In this article we present a system for coupling different base algorithms and sensors for segmentation. Three different solutions for image segmentation by fusion are described, compared and results are shown. The fusion of base algorithms with colorinformation and a sensor fusion process of an optical and a radar sensor including a feedback over time is realized. A feature-in decision-out fusion process is solved. For the fusion process a multi layer perceptron (MLP) with one hidden layer is used as a coupling net. The activity of the output neuron represents the membership of each pixel to an initial segment.

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Metadaten
Author:Uwe Handmann, Gesa Lorenz, Thomas Schnitger, Werner von Seelen
URN:urn:nbn:de:hbz:1393-opus4-5182
URL:http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=4A063A9C25E44B3FF2C8915D9FDE5718?doi=10.1.1.28.7282&rep=rep1&type=pdf
URL:http://www.handmann.net/pdf/IV-HanEtAl1998a.pdf
Parent Title (English):IEEE International Conference on Intelligent Vehicles
Place of publication:Stuttgart
Document Type:Conference Proceeding
Language:English
Year of Completion:1998
Contributing Corporation:IEEE
Release Date:2019/07/03
Tag:INTELLIGENT VEHICLES
Volume:1998
Pagenumber:6
First Page:499
Last Page:504
Institutes:Fachbereich 1 - Institut Informatik
DDC class:000 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik
Licence (German):License LogoNo Creative Commons