Edge Detection in Low Quality Medical Images

Vo Hong Tuyet; Nguyen Thanh Binh

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