Abstract
This paper presents a comparative study between wavelet and steerable pyramid transform for microcalcification clusters. Using multiresolution analysis, mammogram images are decomposed into different resolution levels, which are sensitive to different frequency bands, it is important to extract the features in all possible orientations to capture most of the distinguishing information for classification. The experimental results suggest that S-P shows a clear improvement in the classification performance when compared to wavelet (DWT). These multiresolution analysis methods were tested with the referents mammography Base data MIAS Experimental results show that the steerable pyramid method provides a better.
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References
Errihani, H.: Caractéristiques psychosociales des patients cancéreux marocains: étude de 1 000 cas recrutés à l’Institut national d’oncologie de Rabat. Rev Francoph Psycho Oncologie Numéro. 2, 80–85 (2005)
Fondation Lalla Salma Prévention et traitement “Axe Epidemiologie Situation et Actions” Vol. 2
Balakumaran, T., Vennila, ILA., Shankar, C.G.: Detection of microcalcification in mammograms using wavelet transform and fuzzy(IJCSIS). Int. J. Comput. Sci. Inf. Secur. 7(1) (2010)
Huddin, A.B., Ng, B.W.H., Abbott, D.: Investigation of multiorientation and multiresolution features for microcalcifications classification in mammograms. In: 7th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, pp. 52–57 (2011)
Eltoukhy, M.M., Faye, I., Samir, B.B.: Breast cancer diagnosis in digital mammogram using multiscale curvelet transform. Comput. Med. Imag. Graph. 34, 269–276 (2010). doi:10.1016/j.compmedimag.2009.11.002
Eltoukhy, M.M., Faye, I., Samir, B.B.: A comparison of wavelet and curvelet for breast cancer diagnosis in digital mammogram. Comput. Biol. Med. 40, pp. 384–391 (2010)
Jasmine, J.S.L., Baskaran, S., Govardhan, A.: A robust approach to classify microcalcification in digital mammograms using contourlet transform and support vector machine. Am. J. Eng. Appl. Sci. 6(1), 57–68, ISSN: 1941-7020 (2013)
Delac, K., Grgic, M., Kos, T.: Sub-Image homomorphic filtering technique for improving facial identification under difficult illumination conditions. In: International Conference on Systems, Signals and Image Processing (IWSSIP-06), 21–23 Sept 2006
Mallat, S.G.: A theory for multiresolution signal decomposition: The wavelet representation. IEEE Trans. Pattern Anal. Mach. Intell. 11, pp. 674–693 (1989)
Vetterli, M., Herley, C.: Wavelets and filter banks: Theory and design. IEEE Trans. Sig. Process. 40, pp. 2207–2232 (1992)
Freeman, W.T., Adelson, E.H.: The design and use of steerable. IEEE Trans. Pattern Anal. Mach. Intell. 13(9) (1991)
El Aroussi, M., El Hassouni, M., Ghouzali, S., Rziza, M., Aboutajdine, D.: Local appearance based face recognition method using block based steerable pyramid transform. Sig. Process. 91, 38–50 (2011)
Boiman, O., Shechtman, E., Irani, M.: In defense of nearest neighbor based image classification. In: IEEE Conference on Computer Vision and Pattern Recognition (VPR) (2008)
Li, S.T., Li, Y., Wang, Y.N.: Comparison and fusion of multi resolution features for texture classification. In: Internationa lConference on Machine Learning and Cybernetics. 6, 3684–3684 (2004)
Nithya, R., Santhi, B.: Comparative study on feature extraction method for breast cancer classification. J. Theor. Appl. Inf. Technol. 33(2) (2011)
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Taifi, K., Safi, S., Fakir, M., Ahdid, R. (2016). A Comparison of Wavelet and Steerable Pyramid for Classification of Microcalcification in Digital Mammogram. In: El Oualkadi, A., Choubani, F., El Moussati, A. (eds) Proceedings of the Mediterranean Conference on Information & Communication Technologies 2015. Lecture Notes in Electrical Engineering, vol 380. Springer, Cham. https://doi.org/10.1007/978-3-319-30301-7_45
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DOI: https://doi.org/10.1007/978-3-319-30301-7_45
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