Abstract—Tongue diagnosis is one of the important area in diagnosing most of the diseases, thus tongue diagnosing has received more significance among the experts. Tongue diagnosing is usually carried out by processing the tongue images, but the processing of tongue image is not easy task to carry out. The difficulty strikes because of the irregular shape of the tongue, interference of lip with the tongue, the different shape of the tong etc. In this paper, we proposed a sequential method for processing the tongue image. The method consists of mainly three phases, first, shape detection phase, an edge detector with the aid of region growing algorithm is used for extracting the shape of the tongue. Second, color extraction, pimple detection and crack detection are done with help of color intensity extraction method. Finally, the texture extraction of the tongue is done using the LGXP method, which is efficient in finding texture from an image. The aim of our method is to reduce the complexity in tongue segmentation. The experimental results revealed that our methods produced significant result for the tongue image segmentation. the result produced showed that, the boundary detection , texture of the tongue and shape are done correctly.
Index Terms—Tongue segmentation, image processing, edge detector, region growing, color intensity, LGXP.
M. Dhanalakshmi is with the Department of Computer Science and Information Technology, Jawaharlal Nehru Technological University, Hyderabad, India (e-mail: mdhanalakshmiphd@gmail.com).
P. Premchand is with the Department of Computer Science Engineering, Osmania University.
A. Govardhan is with the Department of Computer Science Engineering, Jntuh, Hyderabad, India.
[PDF]
Cite: M. Dhanalakshmi, P. Premchand, and A. Govardhan, "An Approach for Tongue Diagnosing with Sequential Image Processing Method,"
International Journal of Computer Theory and Engineering vol. 4, no. 3, pp. 322-328, 2012.
