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Optimization and Algebraic Techniques for Image Analysis

  • Luciano Nieddu
  • Giacomo Patrizi

Abstract

Image Analysis consists of a series of decision problems concerning pixel images, which are resolved by heuristic procedures. The pixel image representation can be formalized through an image algebra, defined as a heterogeneous algebra over a suitable structure. This allows the development of formal transformations and operations on the structure. The decision problems however remain to be solved. Thus the aim of this paper is to show how these decision problems can be solved by a suitable optimization algorithm and through this optimization theory image analysis can be rendered as a formal deductive theory. Attention will be focused on recognition and classification problems which are a central issue in many Image Analysis problems.

Keywords

Feature Vector Feature Element Pattern Recognition Problem Algebraic Technique Pima Indian Diabetes 
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 2001

Authors and Affiliations

  • Luciano Nieddu
    • 1
  • Giacomo Patrizi
    • 1
  1. 1.Dipartimento di Statistica, Probabilità e Statistiche ApplicateUniversità di Roma “La Sapienza”Italy

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