International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

Research Paper | Electronics & Communication Engineering | India | Volume 3 Issue 6, June 2014

Texture Feature Extraction for Mammogram Images Using Biorthogonal Wavelet Filter via Lifting Scheme

Shobha Jose

Feature extraction is an important part in Content-based image retrieval (CBIR).It is an active research area over the past few decades. In this paper texture feature extraction of mammogram images are done. Biorthogonal wavelet filter via lifting scheme is used for the extraction of texture features. Maximum likelihood estimator (MLE) is used for texture feature estimation. Here Digital Database for Screening Mammography (DDSM) is used as the database. Here biorthogonal wavelets are used in the lifting scheme to get texture feature vectors of mammogram images. By using lifting scheme in all biorthogonal wavelets; predict and update filter coefficients are also got. These coefficients will be adapted later and thus we can find the optimal wavelet filter bank for increasing the retrieval performance of the retrieval system. By using lifting scheme methodology decomposition of images are done and thus got approximation and detail coefficients of image.

Keywords: Texture feature extraction, biorthogonal wavelets, lifatabase, mammogram

Edition: Volume 3 Issue 6, June 2014

Pages: 1252 - 1256

How to Cite this Article?

Shobha Jose, "Texture Feature Extraction for Mammogram Images Using Biorthogonal Wavelet Filter via Lifting Scheme ", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=2014449, Volume 3 Issue 6, June 2014, 1252 - 1256

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