Contextual edge detection using a recurrent neural network

  • Armando J. Pinho
  • Luís B. Almeida
Poster Session C: Compression, Hardware & Software, Image Databases, Neural Network, Object Recognition & Reconstruction
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1311)

Abstract

If we consider edge detection as a classification problem, then it seems reasonable that context should play an important role in its study. In fact, it is frequent that neighboring pixels exhibit a strong inter-dependence. In this paper we propose a recurrent neural network for edge detection, which uses a special architecture intended to incorporate contextual information during operation. Some experimental results are presented, showing its effectiveness.

Keywords

Neural Network Feature Vector Contextual Information Edge Detection Recurrent Neural Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Armando J. Pinho
    • 1
  • Luís B. Almeida
    • 2
  1. 1.Dep. Electrónica e Telecomunicações / INESCUniversidade de AveiroAveiroPortugal
  2. 2.INESC / Inst. Superior TécnicoLisboaPortugal

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