First, through the wavelet transform of the thermopaint color image, the wavelet moduli are acquired and are used as eigenvalues together with color characteristics. Next, the image is segmented through a fuzzy C-means clustering of these eigenvalues. Experimental results show that this algorithm has a good effect on thermopaint color image segmentation compared to the conventional algorithms that uses sole wavelet transform and fuzzy clustering.