The week's pick
Reseach Article
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.
References
- Chan EH, Tan HM and Tan TY, May 2005, "Facial palsy from temporal bone lesions", Annals Academy of Medicine Singapore, Vol. 34, No. 4, pp. 322-329.
- Anguraj. K, Kandiban. R and Jayakumar. K. S, "Facial Paralysis Diseases Level Detection using CEMAlgorithm for Clinical Applications", European Journal of Scientific Research, Vol. 77, No. 4, pp. 543-548.
- Elisabet Cederwall, Monika Fagevik Olsen, Per Hannerand Ingemar Fogdestam, 2006,"Evaluation of a physiotherapeutic treatment intervention in ''Bell's'' facial palsy", Physiotherapy Theory and Practice, Vol. 22, No. 1, pp. 43-52.
- Balliet, Shinn and Bach-Y-Rita, 1982, "Facial paralysis rehabilitation: retraining selective muscle control", International Rehabilitation Medicine, Vol. 4, No. 2, pp. 67-74.
- William W. Qiu, Shengguang S. Yin, Fred J. Stucker and Denis K. Hoasjoe, 1997, "Neurophysiological evaluation of acute facial paralysis in children", International Journal of Pediatric Otorhinolaryngology, Vol. 39, pp. 223-236.
- Jessie M VanSwearingen and Jennifer S Brach, December 1996, "The Facial Disability Index: Reliability and Validity of a Disability Assessment Instrument for Disorders of the Facial Neuromuscular System, Physical Therapy, Vol. 76, No. 12, pp. 1288-1298.
- Jessie VanSwearingen, 2008, "Facial Rehabilitation: A Neuromuscular Reeducation, Patient-Centered Approach", 2001, Facial Plastic Surgery, Vol. 24, No. 2, pp. 250-259.
- Josephine Clark Weeden, Carroll-Ann Trotman and Julian J. Faraway, "Three Dimensional Analysis of Facial Movement in Normal Adults: Influence of Sex and Facial Shape", Angle Orthodontists, Vol. 71, No. 2, pp. 132-140.
- Thiyaneswaran B, Kandiban R, Jayakumar K. S. 2012. Localization of iris region using MLRP algorithm intended for biometric applications, European journal of scientific research(EJSR), Vol. 74, Issue 1, pp. 126-133.
- Mervi Kanerva, 2008, "Peripheral facial palsy, grading, etiology, and Melkersson-Rosenthal syndrome", Department of Otorhinolaryng, University of Helsinki Finland.
- Peter Eisert, 2003, "MPEG-4 Facial animation in video analysis and synthesis", International Journal of Imaging Systems and Technology, Vol. 20, pp. 100- 110.
- Hontanilla and Auba, January 2008, "Automic three-dimensional quantitative analysis for evaluation of facial movement", Journal of Plastic, Reconstructive & Aesthetic Surgery, Vol. 61, No. 1, pp. 18–30.
- Thiyaneswaran. B and Padma. S, July 2012, "Iris recognition using left and right iris feature of the human eye for Bio-metric security system", International Journal of Computer Applications, Vol. 50, No. 12, pp 37-41.
- Junyu Dong, Lijing Ma, Qingqiang Li, Shengke Wang, Li-an Liu, Yang Lin and Muwei Jian, 2008, "An approach for quantitative Evaluation of the degree of Facial Paralysis based on salient point detection", International Symposium on Intelligent Information Technology Application Workshop, pp 483-486.
- Y. Liu, K. L. Schmidt, J. F. Cohn and S. Mitra, 2003, "Facial asymmetry quantification for expression invariant human identification", Computer Vision and Image Understanding, Vol. 91, no. 1-2, pp 138-159.
- M. H. Yang, 2004, "Recent advances in Face Detection", 17th International Conference on Pattern Recognition, Cambridge, UK.
- Yaoyao Cui, Mingxi Wan and Junbo Li, 1998, "A new quantitative assessment method of facial paralysis based on motion estimation", Annual International Conference of the IEEE Engineering in Medicine and Biology Biology Society, Vol. 20, No. 3, pp 1412-1413.
Index Terms
Keywords