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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
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.
Y. Fukada, “Spatial clustering procedures for region analysis”, Pattern Recognition, Vol. 12, no. 6, pp. 395-403, 1980.
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.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1983 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chen, C.H. (1983). On a Spatial Clustering Algorithm for Image Analysis. In: Chen, C.H. (eds) Issues in Acoustic Signal — Image Processing and Recognition. NATO ASI Series, vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-82002-1_16
Download citation
DOI: https://doi.org/10.1007/978-3-642-82002-1_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-82004-5
Online ISBN: 978-3-642-82002-1
eBook Packages: Springer Book Archive