Disease Edge Detection of Medical CT Image Using Digital Wavelet Filter

DOI

10.2991/acaai-18.2018.19How to use a DOI?

Keywords

medical images; edge detection; image processing; digital filter

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.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Woon Cho
AU  - Daewon Chung
AU  - Yuhan Wu
AU  - Joonhyeon Jeon
PY  - 2018/03
DA  - 2018/03
TI  - Disease Edge Detection of Medical CT Image Using Digital Wavelet Filter
BT  - Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018)
PB  - Atlantis Press
SP  - 77
EP  - 79
SN  - 1951-6851
UR  - https://doi.org/10.2991/acaai-18.2018.19
DO  - 10.2991/acaai-18.2018.19
ID  - Cho2018/03
ER  -