Breast Cancer Detection In Mammogram Images Using Region-Growing And Contour-Based Segmentation Techniques
 |
International Journal of Computer & Organization Trends (IJCOT) | 
|
| © 2013 by IJCOT Journal | ||
| Volume-3 Issue-4 |
||
| Year of Publication : 2013 | ||
| Authors : D. Sujitha Priya , Dr. B. Sarojini |
Citation
D. Sujitha Priya , Dr. B. Sarojini . "Breast Cancer Detection In Mammogram Images Using Region-Growing And Contour-Based Segmentation Techniques" . International Journal of Computer & organization Trends (IJCOT), V3(4):55-58 Jul - Aug 2013, ISSN 2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.
Abstract
An increase in the use of computers to improve human-to-human and human-to-computer interaction has necessitated automated methods that extract information on human behavior in an efficient manner. Technology has highly involved in medical science and the serious problem in the medical field is that the death rate is highly increased due to cancer. The main focus is to detect breast cancer related information from the x-ray images. The system can be used to study about the detection process and segmentation process. Mammogram images are used for detecting cancer, since the images occupy very low levels of radiation. Test images are subjected to a Region-growing segmentation and contour based segmentation algorithms and results are compared. The tumor cells are further enhanced with watershed segmentation and the morphological operations are applied to enhance the images.
References
[1] R. Ramani, Dr. N.SuthanthiraVanitha, S. Valarmathy, “ The Pre-Processing Techniques for Breast Cancer Detection in Mammography Images”, Image, Graphics and Signal Processing,Vol. 5, 2013, pp: 47-54.
[2] Tobias Christian Cahoon, Melanie A.Sutton, James C.Bezdek, “Breast Cancer Detection using Image Segmentation Techniques”, IEEE ,2000, pp:973-976.
[3] BasimAlhadidi, Mohammad H.Zu’bi and hussam N. Suleiman “Mammogram Breast Cancer Detection Using Image Processing Functions,” Information Technology Journal, Vol.6, Issue: 2, ISSN no: 1812-5638, 2007, pp: 217-221.
[4] R.Ramani, Dr.S.Suthanthiravanitha, S.Valarmathy “ A Survey Of Current Image Segmentation Techniques For Detection Of Breast Cancer”, International Journal of Engineering Research and Applications (IJERA) Vol. 2, Issue 5, ISSN: 2248-9622, September- October 2012, pp.1124-1129.
[5] Dr. S. V. Kasmir Raja, A. Shaik Abdul Khadir, Dr.S.S.RiazAhamed, “Moving Toward Region-Based Image Segmentation Techniques: A Study”, Journal of Theoretical and Applied Information Technology, 2005-2009, pp.no: 81-87.
[6] ShilpaKamdi, R.K.Krishna, “Image Segmentation and Region Growing Algorithm”, International Journal of Computer Technology and Electronics Engineering (IJCTEE) Volume 2, Issue no: 1, ISSN 2249-6343, pp: 103-107.
[7] B. Senthilkumar and G. Umamaheswari, “A New Region Growing Segmentation Algorithm For The Detection Of Breast Cancer”, International Journal of Computer Science and Communication, Vol. 3, No. 1, January-June 2012, pp. 17-20
[8] Hum Yan Chai, EkoSupriyant, Lai KhinWee,“MRI Brain Tumor Image Segmentation Using Region-Based Active Contour Model”, Latest Trends in Applied Computational Science, ISBN no: 978-1-61804-171-5, pp :3 6-41.
[9] SatishPawar and V. K. Banga, “Morphology Approach in Image Processing”, International Conference on Intelligent Computational Systems (ICICS`2012), 2012, pp. 7-8.
[10] Vishnukumar K. Patel, Syed Uvaid, A. C. Suthar, “ Mammogram of Breast Cancer Detection Based using Image Enhancement Algorithm”, International Journal of Emerging Technology and Advanced Engineering, Vol. 2, Issue no: 8, ISSN no: 2250-2459,August 2012, pp. 143-147.
Keywords
Breast Cancer, Mammogram Images, Region-growing Segmentation, Contour- Based Segmentation, Watershed Segmentation.