Contrast Enhancement of Masses in Mammograms Using Multiscale Morphology
Mammography is widely used technique for breast cancer
screening. There are various other techniques for breast cancer screening
but mammography is the most reliable and effective technique. The
images obtained through mammography are of low contrast which
causes problem for the radiologists to interpret. Hence, a high quality
image is mandatory for the processing of the image for extracting any
kind of information from it. Many contrast enhancement algorithms have
been developed over the years. In the present work, an efficient
morphology based technique is proposed for contrast enhancement of
masses in mammographic images. The proposed method is based on
Multiscale Morphology and it takes into consideration the scale of the
structuring element. The proposed method is compared with other stateof-
the-art techniques. The experimental results show that the proposed
method is better both qualitatively and quantitatively than the other
standard contrast enhancement techniques.
[1] Breast Cancer India (Online). Available:
http://www.Breastcancerindia.net. Accessed 10 Jan 2014.
[2] Ali l, Wani A.W, Saleem K. 2011. Cancer scenario in India with future
perspectives. Cancer Ther.8:56-70.
[3] Rangayyan, R. M. 2005.The nature of Biomedical Images: Biomedical
Image Analysis. CRC Press, Florida, USA. pp 26.
[4] American College of Radiology. 2003. (Online). Available: www.
Acr.org. Accessed on 25 Dec, 2009.
[5] Soille, P. 1997. A note on morphological contrast enhancement. Ecole
des Mines dAles-EERIE, Tech. Rep
[6] Stojic, T., Reljin, I., and Reljin, B. (2005), Local contrast enhancement
in digital mammography by using mathematical morphology,
International Symposium on Signals Circuits and Systems, IEEE, Vol. 2,
Issue 1, pp.609-612.
[7] Kamra A, Jain VK. (2013). Enhancement of subtle signs using
multiscale morphological approach. Proceedings of IEEE Conference on
Point of Health Care Technologies, Engineering in Medicine and
Biology, Bangalore, India. 16-18 Jan, 2013, pp: 54-57.
[8] Mohanta, K., and Khanaa, V. (2013), An Efficient Contrast
Enhancement of Medical X-Ray Images –Adaptive Region Growing
Approach, International Journal of Engineering And Computer Science,
Vol. 2, Issue 2, pp. 386-390.
[9] Kimori, Y. (2011), Mathematical morphology-based approach to the
enhancement of morphological features in medical images, Journal of
clinical bioinformatics, Vol. 1, Issue 1, pp.33-40.
[10] Bai, X. and Zhou, F. (2010), Multi Scale Top-hat Transform Based
Algorithm for Image Enhancement, International Conference on Image
and Signal Processing, Beijing, IEEE, pp.797-800.
[11] Mukhopadhyay, S., and Chanda, B. (2000), A multiscale morphological
approach to local contrast enhancement, Elsevier, Signal Processing,
Vol. 80, Issue 4, pp.685-696.
[12] Kumar, N. H., Amutha, S., Babu, R. (2012), Enhancement of
Mammographic Images using Morphology and Wavelet Transform,
International Journal of Computer Technology& Applications, Vol. 3,
Issue 1, pp.192-198.
[13] Suckling J, Boggis C.R.M, Hutt, I. 1994. MIAS Proc. of the 2nd Int.
Workshop on Mammography, York, England, 10-12July.1069:375-378.
[1] Breast Cancer India (Online). Available:
http://www.Breastcancerindia.net. Accessed 10 Jan 2014.
[2] Ali l, Wani A.W, Saleem K. 2011. Cancer scenario in India with future
perspectives. Cancer Ther.8:56-70.
[3] Rangayyan, R. M. 2005.The nature of Biomedical Images: Biomedical
Image Analysis. CRC Press, Florida, USA. pp 26.
[4] American College of Radiology. 2003. (Online). Available: www.
Acr.org. Accessed on 25 Dec, 2009.
[5] Soille, P. 1997. A note on morphological contrast enhancement. Ecole
des Mines dAles-EERIE, Tech. Rep
[6] Stojic, T., Reljin, I., and Reljin, B. (2005), Local contrast enhancement
in digital mammography by using mathematical morphology,
International Symposium on Signals Circuits and Systems, IEEE, Vol. 2,
Issue 1, pp.609-612.
[7] Kamra A, Jain VK. (2013). Enhancement of subtle signs using
multiscale morphological approach. Proceedings of IEEE Conference on
Point of Health Care Technologies, Engineering in Medicine and
Biology, Bangalore, India. 16-18 Jan, 2013, pp: 54-57.
[8] Mohanta, K., and Khanaa, V. (2013), An Efficient Contrast
Enhancement of Medical X-Ray Images –Adaptive Region Growing
Approach, International Journal of Engineering And Computer Science,
Vol. 2, Issue 2, pp. 386-390.
[9] Kimori, Y. (2011), Mathematical morphology-based approach to the
enhancement of morphological features in medical images, Journal of
clinical bioinformatics, Vol. 1, Issue 1, pp.33-40.
[10] Bai, X. and Zhou, F. (2010), Multi Scale Top-hat Transform Based
Algorithm for Image Enhancement, International Conference on Image
and Signal Processing, Beijing, IEEE, pp.797-800.
[11] Mukhopadhyay, S., and Chanda, B. (2000), A multiscale morphological
approach to local contrast enhancement, Elsevier, Signal Processing,
Vol. 80, Issue 4, pp.685-696.
[12] Kumar, N. H., Amutha, S., Babu, R. (2012), Enhancement of
Mammographic Images using Morphology and Wavelet Transform,
International Journal of Computer Technology& Applications, Vol. 3,
Issue 1, pp.192-198.
[13] Suckling J, Boggis C.R.M, Hutt, I. 1994. MIAS Proc. of the 2nd Int.
Workshop on Mammography, York, England, 10-12July.1069:375-378.
@article{"International Journal of Medical, Medicine and Health Sciences:70154", author = "Amit Kamra and V. K. Jain and Pragya", title = "Contrast Enhancement of Masses in Mammograms Using Multiscale Morphology", abstract = "Mammography is widely used technique for breast cancer
screening. There are various other techniques for breast cancer screening
but mammography is the most reliable and effective technique. The
images obtained through mammography are of low contrast which
causes problem for the radiologists to interpret. Hence, a high quality
image is mandatory for the processing of the image for extracting any
kind of information from it. Many contrast enhancement algorithms have
been developed over the years. In the present work, an efficient
morphology based technique is proposed for contrast enhancement of
masses in mammographic images. The proposed method is based on
Multiscale Morphology and it takes into consideration the scale of the
structuring element. The proposed method is compared with other stateof-
the-art techniques. The experimental results show that the proposed
method is better both qualitatively and quantitatively than the other
standard contrast enhancement techniques.", keywords = "Enhancement, mammography, multi-scale,
mathematical morphology.", volume = "9", number = "7", pages = "546-4", }