Comparative Study of Noise-tolerant Texture Classification
Bradley P. Kjell · 1994
Tlic effectiveness of four types of texture features arc compared in performing noise-tolerant texture classification. The four types of texture features investigated arc cdgc separation texture features [7] [8] standard cooccurrence matrix features [4]. cooccurrcncc matrix features of directionallysniootlicd texture samples, and the Fourier power and phase spectrum features of Liu and Jernigan [9]. All methods except standard cooccurrence matrix features performed well.