Research Article

Texture Classification Using Scattering Statistical and Cooccurrence Features

Table 4

Results of texture classification using scattering transform, ridgelet transform, and wavelet transform for 129 VisTex images (with 2580 image regions, Dataset-4).

Dataset-4Feature vectors
F1 F2 F3 R1 [8] R2 [8] R3 [8] W1 W2 W3

Mean success rate (%) 85.81 73.99 85.23 72.79 71.40 86.16 81.40 76.36 81.43
Number of image regions correctly classified 2214 1909 2199 1878 1842 2223 2100 1969 2101

F1 = SSFs (mean and standard deviation); F2 = SCFs (cluster prominence, cluster shade, contrast, and local homogeneity); F3 = F1 + F2; R1 = RSFs (mean and standard deviation); R2 = RCFs (cluster prominence, cluster shade, contrast, and local homogeneity); R3 = R1 + R2; W1 = WSFs (mean and standard deviation); W2 = WCFs (cluster prominence, cluster shade, contrast, and local homogeneity); W3 = W1 + W2.