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Analysis of Facial Paralysis Disease using Image Processing Technique
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 54 - Number 11 |
| Year of Publication: 2012 |
| Authors: K. Anguraj, S. Padma |
10.5120/8607-2455
|
K. Anguraj, S. Padma . Analysis of Facial Paralysis Disease using Image Processing Technique. International Journal of Computer Applications. 54, 11 ( September 2012), 1-4. DOI=10.5120/8607-2455
Abstract
Facial paralysis is a disease that occurs due to the disorder of neuromuscular system. It may affect on one or both sides of the face. Facial paralysis will lead to significant physical and functional hurt to patients. To diagnose the disease, degree of facial paralysis has to be evaluated. The proposed method is to evaluate the degree of facial paralysis by using IECM algorithm. The initial stages of diseases are detected by analyzing the various facial expressions. The proposed method includes preprocessing of images and estimation of level of diseases. The proposed algorithm measures the distance between the eye brows to infra orbital. It also measures the distance between the edges of mouth and lateral canthus. Diseases levels are identified as Normal, mild and severe by using the estimated parameters.
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