Co-occurrence matrix and self-organizing map-based query from spectral image database

Kohonen, Oili; Hauta-Kasari, Markku; Parkkinen, Jussi; Jääskeläinen, Timo

doi:10.1117/12.668059

Cited by 1 publication

(1 citation statement)

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“…Co-occurrence matrices, introduced by Haralick in [17], is a commonly applied statistical approach for texture features extraction that takes into account relative distances and orientation of pixels with co-occurring values [9,15,18]. The MATLAB's Image Processing Toolbox is used for the computation of the co-occurrence matrices of the normalized images.…”

Section: Desert 19%mentioning

confidence: 99%

Self-organizing maps for texture classification

Petrov

Georgieva

Jordanov

2012

Neural Comput & Applic

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