Research Article

KmsGC: An Unsupervised Color Image Segmentation Algorithm Based on -Means Clustering and Graph Cut

Figure 3

(a) An original image, (b) segmented image, and (c) the cluster number determination. In (c), -axis represents the cluster number, whereas -axis shows the values of the compactness criterion, and . The compactness criterion reaches the minimum value at 4 clusters. (b) is the segmented image with this optimal cluster number.
464875.fig.003a
(a)
464875.fig.003b
(b)
464875.fig.003c
(c)