The application of the edge sharpening operator to the breast near-infrared imaging |
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| Authors: | Xiang Yan Li Kai-yang Yang Xuan-dong Wang Xiao-fang Zhang Xian-lin Zhu Yi-jun |
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| Institution: | (1) School of Physics and Technology, Wuhan University, 430072 Wuhan, Hubei, China;(2) Tumor Research Institute of Hubei Province, 430072 Wuhan, Hubei, China;(3) E-Sea Digital Engineering Limited Company, 430072 Wuhan, Hubei, China |
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| Abstract: | The principles of Gradient operator, Laplacian operator, LOG operator and Sobel operator are discussed. Certain features of
breast can be extracted in different degrees and aspects from original images by applying four edge sharpening operators to
the breast near-infrared imaging. A great number of cases prove that compared with the other three operators, the improved
Sobel operator can effectively extract the structural features of the breast from an original image. It can be concluded that
the improved Sobel operator can assist in diagnosing breast diseases.
Foundation item: Supported by the Enterprise Innovation Foundation of Wuhan
Biography: Xiang Yan (1979-), female, Master candidate, research direction: biomedical engineering and biophysics. |
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| Keywords: | edge sharpening operator near-infrared light breast diagnoses |
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