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On a Spatial Clustering Algorithm for Image Analysis

  • C. H. Chen
Conference paper
Part of the NATO ASI Series book series (volume 1)

Abstract

A computationally efficient spatial clustering algorithm is presented for image segmentation and compression. The algorithm can automatically determine the minimum number of clusters and can also work on a specified number of clusters. Examples are given on the processing of Seasat images using the algorithm.

Keywords

Synthetic Aperture Radar Spatial Cluster Synthetic Aperture Radar Image Ocean Environment Image Analysis Algorithm 
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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References

  1. [1]
    R.M. Haralick and I. Dinstein, “A spatial clustering procedure for multi-image data”, IEEE Trans. on Circuits and Systems, Vol. C-22, pp. 440-450, 1975.CrossRefGoogle Scholar
  2. [2]
    Y. Fukada, “Spatial clustering procedures for region analysis”, Pattern Recognition, Vol. 12, no. 6, pp. 395-403, 1980.CrossRefGoogle Scholar
  3. [3]
    J.S. Lee, “The Sigma filter and its application to speckle smoothing of synthetic aperture radar image”, presented at the ONR Signal Processing in the Ocean Environment Workshop held at U.S. Naval Academy, May 1982.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1983

Authors and Affiliations

  • C. H. Chen
    • 1
  1. 1.Electrical Engineering DepartmentSoutheastern Massachusetts UniversityNorth DartmouthUSA

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