A novel image enhancement method for mammogram images

WCU Author/Contributor (non-WCU co-authors, if there are any, appear on document)
Hongda Shen (Creator)
Western Carolina University (WCU )
Web Site: http://library.wcu.edu/
Peter Tay

Abstract: Breast cancer has been reported by American Cancer Society as the second leading cause of death among all the cancers of women. It is also reported that the early detection of breast cancer can improve survival rate by allowing a wider range of treatment options. Mammography is believed to be an effective tool to help radiologists to detect the malignant breast cancer at the early stage. Image enhancement techniques can improve the quality of mammogram images with enhancing the details of key features, like the shape of microcalcifications. This thesis proposed a novel method to enhance mammogram images. The proposed method uses a three level Laplacian Pyramid (LP) scheme that applies the Squeeze Box Filter (SBF) instead of conventional low pass filtering. A previously proposed nonlinear local enhancement technique is applied to the difference image produced in the Laplacian Pyramid to contrast enhance the structural details of mammogram images. The enhanced mammogram image is reconstructed by adding all the enhanced difference images to the origianl SBF filtered image. Experimentation and quantitative results reported in this thesis provide empirical evidence on the robustness of the proposed image enhancement method on mammographic images.

Additional Information

Language: English
Date: 2013
Breast Cancer, Contrast Enhancement, Laplacian Pyramid, Mammogram, Squeeze Box Filter
Breast -- Radiography -- Technological innovations
Breast -- Radiography -- Data processing
Breast -- Imaging -- Technological innovations
Breast -- Imaging -- Data processing
Breast -- Cancer -- Diagnosis -- Technological innovations
Breast -- Cancer -- Diagnosis -- Data processing

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