Active Contour Based on Curvelet Domain in Medical Images

Vo Tuyet

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

Research Article

Active Contour Based on Curvelet Domain in Medical Images

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@INPROCEEDINGS{10.1007/978-3-319-46909-6_29,
    author={Vo Tuyet},
    title={Active Contour Based on Curvelet Domain in 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={Active contour Curvelet transform Snake B-spline Smoothing},
    doi={10.1007/978-3-319-46909-6_29}
}

Vo Tuyet
Year: 2017
Active Contour Based on Curvelet Domain in Medical Images
ICTCC
Springer
DOI: 10.1007/978-3-319-46909-6_29

Vo Tuyet¹^,*

1: Ho Chi Minh City Open University

*Contact email: vothihongtuyet.dhbk@gmail.com

Abstract

Contours are important in computer vision. Among many algorithms proposed to describe the contours, snake is one of them. In snakes, the energy is minimized by the set of replacements. In natural images, Snake is easy for finding the traditional boundaries by the spline smoothness term. However, medical images are of a difficult problem. In this paper, we propose a method for active contour in medical images by combining the curvelet transform and B-spline. Our algorithm is to increase the ability for smoothing before reducing energy between boundaries which detects in curvelet domain. Compared with other recent methods, the proposed method is better.

Keywords: Active contour Curvelet transform Snake B-spline Smoothing

Published: 2017-01-04
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-46909-6_29