An application of neural networks to natural scene segmentation

  • Marcelino Vicens
  • Jesús Albert
  • Vicente Arnau
Part of the Lecture Notes in Computer Science book series (LNCS, volume 540)


This paper introduces a method for low level image segmentation. Pixels of the image are classified corresponding to their chromatic features.

The classifier is implemented by means of a neural network trained using a manual clasification of the coloured images. The back-propagation algorithm is applied to one image which works as training set, and the results applied to the rest of them.

Because of the large amount of data contained in one image, a random selection of the points is made before training.

Finally, the paper shows the results of applying the method to fruits detection in natural scenes taken from the open field.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • Marcelino Vicens
    • 1
  • Jesús Albert
    • 2
  • Vicente Arnau
    • 2
  1. 1.Institut de RobòticaUniversidad de ValènciaBurjassot (València)
  2. 2.Dept. Informàtica i ElectrònicaUniversidad de ValènciaBurjassot (València)

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