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The Importance of Features and Primitives for Multi-dimensional/Multi-channel Image Processing

  • Silvana G. Dellepiane
Part of the Perspectives in Neural Computing book series (PERSPECT.NEURAL)

Abstract

In the context of image processing, a major role is played by the features and primitives that describe the data under examination and on which the processing operation is performed. Images acquired by different sensors, for different parameter values tunings, and multi-dimensional and multi-temporal data are becoming easily available, thus increasing the dimensionality of the classification space, then the need for feature-selection techniques.

Keywords

Artifical Neural Network Feature Selection Feature Space Image Segmentation Segmentation Result 
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 London 2000

Authors and Affiliations

  • Silvana G. Dellepiane
    • 1
  1. 1.Department of Biophysical and Electronic EngineeringUniversity of GenoaGenovaItaly

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