Advanced statistical matrices for texture characterization: Application to cell classification

Guillaume Thibault, Jesús Angulo, Fernand Meyer

Research output: Contribution to journalArticle

67 Scopus citations

Abstract

This paper presents new structural statistical matrices which are gray level size zone matrix (SZM) texture descriptor variants. The SZM is based on the cooccurrences of size/intensity of each flat zone (connected pixels with the same gray level). The first improvement increases the information processed by merging multiple gray-level quantizations and reduces the required parameter numbers. New improved descriptors were especially designed for supervised cell texture classification. They are illustrated thanks to two different databases built from quantitative cell biology. The second alternative characterizes the DNA organization during the mitosis, according to zone intensities radial distribution. The third variant is a matrix structure generalization for the fibrous texture analysis, by changing the intensity/size pair into the length/orientation pair of each region.

Original languageEnglish (US)
Article number6621011
Pages (from-to)630-637
Number of pages8
JournalIEEE Transactions on Biomedical Engineering
Volume61
Issue number3
DOIs
StatePublished - Mar 1 2014

Keywords

  • Gray-level size zone matrix (SZM)
  • quantitative cytology
  • structural statistical matrices
  • texture characterization and classification

ASJC Scopus subject areas

  • Biomedical Engineering

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