Tongue Image Segmentation Based on Fuzzy Rough Sets

The paper studied a new theory of fuzzy rough sets, and presented a method to segment tongue image. It presented an algorithm of fuzzy rough clustering based on grid by the theory. The algorithm extracts condensation points by the theory of fuzzy rough sets, and quarters the data space layer by layer, and softens the edge of the dense block by drawing condensation points in the borders. The algorithm has been put into use in tongue image segmentation of Traditional Chinese Medicine (TCM). The application result indicated: The algorithm avoided segmenting image excessively and speeded up segmentation velocity by fuzzy grid dividing.