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A Fuzzy View on k-Means Based Signal Quantization with Application in Iris Segmentation

Domenii publicaţii > Ştiinţe informatice + Tipuri publicaţii > Articol în volumul unei conferinţe

Autori: N. Popescu-Bodorin

Editorial: The 17th Telecommunications Forum (TELFOR 2009, 24-26 November 2009, Belgrade, SERBIA), 2009.

Rezumat:

This paper shows that the k-means quantization of a signal can be interpreted both as a crisp indicator function and as a fuzzy membership assignment describing fuzzy clusters and fuzzy boundaries. Combined crisp and fuzzy indicator functions are defined here as natural generalizations of the ordinary crisp and fuzzy indicator functions, respectively. An application to iris segmentation is presented together with a demo program.

Cuvinte cheie: generalizari ale functiilor indicator crisp/fuzzy in afara intervalului [0,1], generalizarea functiilor indicator la functii etajate, functia indicator fuzzy combinat ca reconstructie neteda a unei functii etajate, k-means, clustere fuzzy, frontiere fuzzy, segmentarea fuzzy circulara a irisului // crisp and fuzzy indicators outside [0,1] interval, combined crisp indicators as step functions, combined fuzzy indicator as a smooth reconstruction of a step function, k-means, fuzzy clusters, fuzzy boundaries, circular fuzzy iris segmentation

URL: http://fmi.spiruharet.ro/bodorin/articles/telfor09.pdf