共 10 条
[1]
Grey level co-occurrence integrated algorithm(GLCIA):a superior computational method to rapidly determine co-occurrence probability texture features. David A Clausi,Zhao Yongping. Computers and Geosciences . 2003
[2]
Image retrieval based on color and texture. WU Cheng-yu,TAI Xiao-ying. Proc of the4th International Conference on Fuzzy Sys-tems and Knowledge Discovery . 2007
[3]
Deriving texture feature set for content-based retrieval of satellite image database. SGENG L,CLASTELLI V. Proc of International Conference on Image Processing . 1997
[4]
Rapid extraction of image texture by co-occurrence using a hybrid data structure. Clausi DA,Zhao YP. Computers and Geosciences . 2002
[5]
Texture features for image classification. Haralick R M,Shanmugam K,Dinstein I. IEEE Transactions on Systems Man and Cybernetics . 1973
[6]
An Investigation of the Textural Characteristics Associated with Gray level Cooccurrence Matrix Statistical Parameters. Baraldi A,Parmiggiani F. IEEE Transactions on Geoscience and Remote Sensing . 1995
[7]
Texture Segmentation on SAR Ice Imagery. Clausi D A. . 1996
[8]
A fast method to determine co-occurrence texture features. Clausi, D.A,Jernigan, M.E. IEEE Trans. Geosci. Remote Sensing . 1998
[9]
Texture-based classification of hysteroscopy images of the endometrium. NEOFYTOUMS,TANOS V,PATTICHIS MS,et al. Proc of EMBS Annual International Conference . 2006
[10]
Sumand Difference Histograms for Texture Classification. UNSER M. IEEE Transactions on Pattern Analysis and Machine Intelligence . 1986