Texture Classification Using Scattering Statistical and Cooccurrence Features

Table 1

Results of texture classification using scattering transform, ridgelet transform, and wavelet transform for 20 VisTex images (with 1680 image regions, Dataset-1).

Dataset-1	Feature vectors
	F1	F2	F3	R1 [8]	R2 [8]	R3 [8]	W1 [9]	W2 [9]	W3 [8]
Mean success rate (%)	96.07	78.99	95.60	95.48	77.56	98.69	92.02	87.86	97.80
Number of image regions correctly classified	1614	1327	1606	1604	1303	1658	1546	1476	1643

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.