Tongue Diagnosing With Sequential Image Enhancement Methods
M. Dhanalakshmi1, P. Premchand2, A. Govardhan3
1M.Dhanalakshmi, the Department of Computer Science and Information Technology, Jawaharlal Nehru Technological University, Hyderabad, India.
2P. Premchand, the Department of Computer Science Engineering, Osmania University, India.
3A. Goverdhan the Department of Computer Science and Information Technology, Jawaharlal Nehru Technological University, Hyderabad, India.
Manuscript received on March 25, 2013. | Revised Manuscript received on April 10, 2013. | Manuscript published on April 30, 2013. | PP: 831-835 | Volume-2, Issue-4, April 2013. | Retrieval Number: D1503042413/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Tongue diagnosis is one of the important area in traditional diagnosing techniques and it has more significance among the experts. Tongue diagnosing is usually carried out by visually understanding the tongue, but the processing of tongue image is not an easy task to carry out. The difficulty strikes because of the irregular shape of the tongue, overlapping of colours, dominance of saliva on cracks and buds etc. In this paper, we proposed image enhancement methods for processing the tongue image to get the required features of the tongue. The method mainly consists of two techniques; first, contrast enhancement with edge detection in grey scale for highlighting the shape, cracks, buds and pimples,; second, colour enhancement for identifying the true nature of colours and coating on different parts of the tongue. The aim of our method is to reduce the complexity in tongue understanding. The experimental results revealed that our methods produced significant result for the tongue diagnosis.
Keywords: Tongue diagnosis, Image Processing, Image enhancement.