A Color Texture Image Segmentation Method Based on Fuzzy c-Means Clustering and Region-Level Markov Random Field Model

Table 3

Comparison accuracies of four different algorithms on the synthetic color texture images in Figure 2 (acc/kc).

	The 1st image	The 2nd image	The 3rd image	The 4th image	Average
FLICM	0.4819/0.2282	0.6681/0.4849	0.6501/0.5470	0.4556/0.3036	0.5639/0.3909
HMRF-FCM	0.8941/0.8408	0.8093/0.7136	0.9090/0.8774	0.8732/0.8123	0.8714/0.8110
RICM	0.9998/0.9901	0.9596/0.9387	0.8520/0.7926	0.9506/0.9262	0.9405/0.9119
RFLICM	0.9998/0.9901	0.9894/0.9838	0.9887/0.9849	0.9723/0.9583	0.9876/0.9793