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Nature of Computation and Communication. Second International Conference, ICTCC 2016, Rach Gia, Vietnam, March 17-18, 2016, Revised Selected Papers

Research Article

Edge Detection in Low Quality Medical Images

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  • @INPROCEEDINGS{10.1007/978-3-319-46909-6_32,
        author={Vo Hong Tuyet and Nguyen Thanh Binh},
        title={Edge Detection in Low Quality Medical Images},
        proceedings={Nature of Computation and Communication. Second International Conference, ICTCC 2016, Rach Gia, Vietnam, March 17-18, 2016, Revised Selected Papers},
        proceedings_a={ICTCC},
        year={2017},
        month={1},
        keywords={Edge detection Canny B-spline Bayesian thresholding},
        doi={10.1007/978-3-319-46909-6_32}
    }
    
  • Vo Hong Tuyet
    Nguyen Thanh Binh
    Year: 2017
    Edge Detection in Low Quality Medical Images
    ICTCC
    Springer
    DOI: 10.1007/978-3-319-46909-6_32
Vo Hong Tuyet,*, Nguyen Thanh Binh1,*
  • 1: Ho Chi Minh City University of Technology, VNU-HCM
*Contact email: vothihongtuyet.dhbk@gmail.com, ntbinh@hcmut.edu.vn

Abstract

The edge detection is very useful for contour and segmentation. But with weak objects, this is very difficult, especially for medical images which store the information of patients. In this paper, we propose an algorithm to detect the edges of object in medical images. Our method uses Bayesian thresholding for medical images denoising and B-spline curve for smoothing. The proposed method is compared with the recent methods. The results of our method are better than the other methods.

Keywords
Edge detection Canny B-spline Bayesian thresholding
Published
2017-01-04
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-319-46909-6_32
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