EFFICIENT EDGE EMPHASIZED MAMMOGRAM IMAGE ENHANCEMENT FOR DETECTION OF MICROCALCIFICATION
| Autor: | Natarajan Arumugam, G. Prabin, M. Sundaram, K. Ramar |
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| Rok vydání: | 2014 |
| Předmět: |
Discrete wavelet transform
business.industry Physics::Medical Physics Biomedical Engineering Biophysics Bioengineering Pattern recognition Edge enhancement Image enhancement Image (mathematics) Wavelet Computer Science::Computer Vision and Pattern Recognition medicine Computer vision Artificial intelligence Enhanced Data Rates for GSM Evolution Microcalcification medicine.symptom business Energy (signal processing) Mathematics |
| Zdroj: | Biomedical Engineering: Applications, Basis and Communications. 26:1450056 |
| ISSN: | 1793-7132 1016-2372 |
| Popis: | An efficient detection of microcalcification based on edge enhancement using discrete wavelet transform (DWT) is presented in this paper. The proposed method is implemented by separating the wavelet coefficients into weak and strong edge coefficients for effective detection of microcalcification. Identification of strong and weak edge locations corresponding to microcalcification is obtained by allowing the input image through appropriate filters before wavelet decomposition. Before reconstructing the output image, the strong and weak edge coefficients are modified based on the energy of the coefficients. The reconstructed image exhibits a better enhancement with the fine detail components of microcalcification than the original mammogram image. Standard Mias mammogram database images and clinical mammograms are used for testing and comparing subjective and objective measures of the mammogram images. A comparative study is made with the existing state-of-the-art edge enhancement and contrast enhancement methods and results are encouraging. The edge emphasizing ability of the proposed method is highly proficient in detection of microcalcification from the mammogram. |
| Databáze: | OpenAIRE |
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