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Comparative study of noise-tolerant texture classification

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1 Author(s)
Ejell, B. ; Dept. of Comput. Sci., Central Connecticut State Univ., New Britain, CT

The effectiveness of four types of texture features are compared in performing noise-tolerant texture classification. The four types of texture features investigated are: edge separation texture features; standard cooccurrence matrix features; cooccurrence matrix features of directionally-smoothed texture samples; and the Fourier power and phase spectrum features of Liu and Jernigan (1990). All methods, except standard cooccurrence matrix features, performed well

Published in:

Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on  (Volume:3 )

Date of Conference:

2-5 Oct 1994