@inproceedings{e595bef8aa6940a78e6050bab59e4997,
title = "Design of Wavelet Digital Filter for Edge Detection of Medical MRI image",
abstract = "The aim of this study is detecting the edge of the medical MRI (Magnetic Resonance Imaging) images. This paper describes as efficient and accurate enhancement and detection method by designing 5-Tap bandpass filter signal and two high frequency sub-band MRI images in digital wavelet domain. Simulation results shows that the proposed method has high accuracy and enhancement in detecting the edge images as is compared to existing method. It provide a helpful and efficient solution for detecting disease lots of medical MRI image, and this method provide new insights in overcoming the scale sensitivity and noises in edge detection.",
keywords = "Design digital filter, Edge detection, Enhancement, Image processing, MRI (Magnetic Resonance Image)",
author = "Woon Cho and Daewon Chung and Gyungmin Hwang and Joonhyeon Jeon",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 1st International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2019 ; Conference date: 11-02-2019 Through 13-02-2019",
year = "2019",
month = mar,
day = "18",
doi = "10.1109/ICAIIC.2019.8668966",
language = "English",
series = "1st International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "185--188",
booktitle = "1st International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2019",
address = "United States",
}