Fuzzy logic image-clustering algorithm

Rustom Mamlook; Wiley E. Thompson

doi:10.1117/12.280837

28 July 1997 Fuzzy logic image-clustering algorithm

Rustom Mamlook, Wiley E. Thompson

Proceedings Volume 3068, Signal Processing, Sensor Fusion, and Target Recognition VI; (1997) https://doi.org/10.1117/12.280837
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

A fuzzy logic clustering algorithm to classify a given image into targets and backgrounds is presented. The algorithm forms clusters and is trained without supervision. The clustering is done on the basis of the statistical properties of the set of inputs. The algorithm features an adaptive mechanism for selecting the number of clusters, and it features an adaptive threshold. The problem of threshold selection is considered and the convergence of the algorithm is shown. The algorithm also does not require the number of clusters been known a priori. An example is given to illustrate the application of the algorithm.

Citation Download Citation

Rustom Mamlook and Wiley E. Thompson "Fuzzy logic image-clustering algorithm", Proc. SPIE 3068, Signal Processing, Sensor Fusion, and Target Recognition VI, (28 July 1997); https://doi.org/10.1117/12.280837

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