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Conference papers
Advanced statistical matrices for texture characterization: Application to DNA chromatin and microtubule network classification
Abstract : This paper presents significant improvements of Gray Level Size Zone Matrix (GLSZM) which is a bivariate statistical representation of texture, based on the co-occurrences of size/intensity of each flat zone (connected pixels of the same gray level). The first improvement is a multi-scale extension of the matrix which merges various quantizations of gray levels. A second alternative is proposed to take into account radial distribution of zone intensities. The third variant is a generalization of the matrix structure which allows to analyze fibrous textures, by changing the pair intensity/size for the pair length/orientation of each region. The interest of these improved descriptors is illustrated by texture classification problems arising from quantitative cell biology.
https://hal-mines-paristech.archives-ouvertes.fr/hal-00833529
Contributor : Bibliothèque Mines Paristech <>
Submitted on : Thursday, June 13, 2013 - 12:16:39 AM
Last modification on : Thursday, September 24, 2020 - 4:38:03 PM
Contributor : Bibliothèque Mines Paristech <>
Submitted on : Thursday, June 13, 2013 - 12:16:39 AM
Last modification on : Thursday, September 24, 2020 - 4:38:03 PM