A Novel Fuzzy Enhancement of Mammograms
A Novel Fuzzy Enhancement of Mammograms
- Author(s): He Deng ; Caohui Duan ; Xin Zhou
- DOI: 10.1049/cp.2015.0759
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- Author(s): He Deng ; Caohui Duan ; Xin Zhou Source: 2015 IET International Conference on Biomedical Image and Signal Processing (ICBISP 2015), 2015 page ()
- Conference: 2015 IET International Conference on Biomedical Image and Signal Processing (ICBISP 2015)
- DOI: 10.1049/cp.2015.0759
- ISBN: 978-1-78561-044-8
- Location: Beijing, China
- Conference date: 19 Nov. 2015
- Format: PDF
Mammograms enhancement is very essential for detecting and diagnosing breast cancer at the early stage. In this paper, we propose a new enhancement method of mammograms based on intuitionistic fuzzy sets and type-2 fuzzy sets. Sugeno type intuitionistic fuzzy generator is used to construct a intuitionistic fuzzy set and a new membership function is defined using the Hamacher T co norm, and the final enhanced image is obtained using the arithmetic fusion operators. Experiments are performed on the cropped region of interest of real mammograms, and the comparison and evaluation of enhancement performance demonstrate that the proposed method improve the diagnostic efficiency by improving the contrast of the abnormal regions and fine details in mammograms.
Inspec keywords: cancer; mammography; fuzzy set theory; image enhancement; medical image processing
Subjects: Optical, image and video signal processing; X-ray techniques: radiography and computed tomography (biomedical imaging/measurement); Biology and medical computing; Computer vision and image processing techniques; Patient diagnostic methods and instrumentation; X-rays and particle beams (medical uses)
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