Texture Classification Using Scattering Statistical and Cooccurrence Features

Table 2

Results of texture classification using scattering transform, ridgelet transform, and wavelet transform for 30 VisTex images (with 2520 image regions, Dataset-2).

Dataset-2	Feature vectors
	F1	F2	F3	R1 [8]	R2 [8]	R3 [8]	W1	W2	W3 [8]
Mean success rate (%)	94.96	74.84	94.01	90.87	76.43	96.79	92.34	71.43	96.47
Number of image regions correctly classified	2393	1886	2369	2290	1926	1439	2327	1800	2431

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.