The week's pick
Reseach Article
Detection of Oral Tumor based on Marker – Controlled Watershed Algorithm
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 52 - Number 2 |
| Year of Publication: 2012 |
| Authors: K. Anuradha, K. Sankaranarayanan |
10.5120/8173-1486
|
K. Anuradha, K. Sankaranarayanan . Detection of Oral Tumor based on Marker – Controlled Watershed Algorithm. International Journal of Computer Applications. 52, 2 ( August 2012), 15-18. DOI=10.5120/8173-1486
Abstract
Oral cancer is a significant health problem throughout the world. It is very important to detect such types of cancer at an earlier stage than the later stage where the treatment becomes unsuccessful. Early detection helps surgeons to provide necessary therapeutic measures which also benefit the patients. In this paper, a technique is proposed to detect cancers present in mouth provided by an Orthopantomogram. A novel mathematical morphological watershed algorithm is proposed to preserve these edge details as well as prominent ones to identify tumors in dental radiographs. Applying watershed on images leads to oversegmentation even though it is preprocessed. To avoid this, Marker Controlled Watershed segmentation is used to segment tumors. The results obtained are quite good and were tested.
References
- James J. Sciubba, "Improving detection of precancerous and cancerous oral lesions", American Dental Association, Vol. 130, October 1999, pp 1445 – 1457.
- A. Banumathi, J. Praylin Mallika, S. Raju, V. Abhai Kumar, "Automated Diagnosis and Severity Measurement of cyst in dental X – ray images using Neural Network", International Journal of Biomedical Soft Computing and Human Sciences, Vol. 14, No. 2, 2009, pp 103 – 107.
- Woonggyu Jung, Jun Zhang, Jungrae Chung, Petra Wilder – Smith, Matt Brenner, J. Stuart Nelson and Zhongping Chen, (2005) "Advances in Oral Cancer Detection using Optical Coherence Tomography", IEEE Journal of Selected Topics in Quantum Electronics, Vol. 11, No. 4. pp 811 – 817.
- Ranjan Rashmi Paul, Anirban Mukherjee, Pranab K. Dutta, Swapna Banerjee, Mousumi, Pal, Jyotirmoy Chatterjee and Keya Chaudhuri, "A novel wavelet neural network based pathological stage detection technique for an oral precancerous condition" , Journal of Clinical Pathology, Vol. 58, Issue. 9, 2005, pp 932 – 938.
- Ghassan Hamarneh, Artur Chodorowski, Tomas Gustavsson, "Active Contour models: Application to oral Lesion detection in color images", IEEE Conference on Systems, Man, and Cybernetics.
- K. V. Kulhalli, V. T. Patil, V. R. Udupi, "Image Processing Application for Computer Aided Diagnosis of Cancer", Proceedings of the International Conference on Advances in Computing and Management, 2012, pp 297 – 301,
- Tathagata Ray, D. Shivashankar Reddy, Anirban Mukerjee, Jyotimoj Chatterjee, Ranjan R. Paul, Pranab. K. Dutta, "Detection of constituent layers of histological oral sub – mucous fibrosis: Images using the Hybrid segmentation algorithm", Journal of Oral Oncology, (2008), pp 1167 – 1171.
- Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins, "Digital Image Processing using MATLAB', Pearson Education, 2003.
- Soille, L. V. P. , "Watersheds in digital spaces: An efficient algorithm based on immersion simulations" IEEE Transactions on Pattern Analysis and Machine Intelligence, 1991. 13(6): p. 583–598.
- H. S. Sheshadri, A. Kandasamy, "Detection of Breast cancer Tumor based Morphological Watershed Transformation" , International Journal on Graphics, Vision and Image Processing, Vol. 5, Issue. 5, 2005.
- Poonam Bhayan, Gagandeep Jindal, "A Segmented Morphological Approach to Detect Tumor in Lung Images", International Journal of Computer Science and Technology, Vol. 2, Issue. 3, September 2011.
Index Terms
Keywords