The use of nuclear texture parameters in the automatic analysis of leukocytes

作者: G.H. Landeweerd , E.S. Gelsema

DOI: 10.1016/0031-3203(78)90013-4

关键词: Image processingComputer scienceArtificial intelligenceTexture (geology)Set (abstract data type)Computer vision

摘要: Abstract The use of texture parameters in the differentiation white blood cells is presented. Four different methods analysis were applied to a set 160 from 3 classes.

参考文章(6)
P. W. Neurath, D. H. Brand, E. D. Schreiner, MAN-MACHINE INTERACTION FOR IMAGE PROCESSING Annals of the New York Academy of Sciences. ,vol. 157, pp. 324- 338 ,(1969) , 10.1111/J.1749-6632.1969.TB12669.X
Mary M. Galloway, Texture analysis using gray level run lengths Computer Graphics and Image Processing. ,vol. 4, pp. 172- 179 ,(1975) , 10.1016/S0146-664X(75)80008-6
James W. Bacusmber, Earl E. Gose, Leukocyte Pattern Recognition systems man and cybernetics. ,vol. 2, pp. 513- 526 ,(1972) , 10.1109/TSMC.1972.4309161
J. F. BRENNER, P. W. NEURATH, W. D. SELLES, T. F. NECHELES, E. S. GELSEMA, E. VASTOLA, Automated classification of normal and abnormal leukocytes. Journal of Histochemistry and Cytochemistry. ,vol. 22, pp. 697- 706 ,(1974) , 10.1177/22.7.697
M. M. Galloway, Texture analysis using grey level run lengths NASA STI/Recon Technical Report N. ,vol. 75, pp. 18555- ,(1974)
Paul R. Lohnes, William W. Cooley, Multivariate data analysis ,(1971)