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Disease Edge Detection of Medical CT Image Using Digital Wavelet Filter

Authors
Cho, WoonChung, DaewonWu, YuhanJeon, Joonhyeon
Issue Date
2018
Publisher
ATLANTIS PRESS
Keywords
medical images; edge detection; image processing; digital filter
Citation
PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON ADVANCED CONTROL, AUTOMATION AND ARTIFICIAL INTELLIGENCE (ACAAI 2018), v.155, pp 77 - 79
Pages
3
Journal Title
PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON ADVANCED CONTROL, AUTOMATION AND ARTIFICIAL INTELLIGENCE (ACAAI 2018)
Volume
155
Start Page
77
End Page
79
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/9988
ISSN
1951-6851
1951-6851
Abstract
The aim of this study is detecting disease edge of the medical CT (Computed Tomography) image. This paper describes the method by using 3-Tap bandpass filter signal and two high frequency sub-band CT images in wavelet domain for detecting part of disease. Simulation result show that the proposed method has high accuracy in detecting the disease edge area as is compared to existing methods. It provide a useful and efficient solution for detecting disease of medical CT image, and this method should be applicable to various medical images.
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College of Engineering (Department of Electronics and Electrical Engineering)
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