A Comparative Study of Texture Measures for Terrain Classification
- 1 April 1976
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Systems, Man, and Cybernetics
- Vol. SMC-6 (4) , 269-285
- https://doi.org/10.1109/tsmc.1976.5408777
Abstract
Three standard approaches to automatic texture classification make use of features based on the Fourier power spectrum, on second-order gray level statistics, and on first-order statistics of gray level differences, respectively. Feature sets of these types, all designed analogously, were used to classify two sets of terrain samples. It was found that the Fourier features generally performed more poorly, while the other feature sets all performned comparably.Keywords
This publication has 2 references indexed in Scilit:
- Texture analysis using gray level run lengthsComputer Graphics and Image Processing, 1975
- Textural Features for Image ClassificationIEEE Transactions on Systems, Man, and Cybernetics, 1973