TY - GEN
T1 - Advanced statistical matrices for texture characterization
T2 - 2011 18th IEEE International Conference on Image Processing, ICIP 2011
AU - Thibault, Guillaume
AU - Angulo, Jesús
AU - Meyer, Fernand
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - Gray Level Size Zone Matrix (GLSZM)
KW - Structural Statistical Matrices
KW - Texture Characterization
UR - http://www.scopus.com/inward/record.url?scp=84856243899&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84856243899&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2011.6116401
DO - 10.1109/ICIP.2011.6116401
M3 - Conference contribution
AN - SCOPUS:84856243899
SN - 9781457713033
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 53
EP - 56
BT - ICIP 2011
Y2 - 11 September 2011 through 14 September 2011
ER -