Disease Edge Detection of Medical CT Image Using Digital Wavelet Filter
- https://doi.org/10.2991/acaai-18.2018.19How to use a DOI?
- medical images; edge detection; image processing; digital filter
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/acaai-18.2018.19 ID - Cho2018/03 ER -