KUO, CHIH WEI,郭志暐,郭志暐,HUANG, KER JER,黄科志,黃科志,WANG, RUEI TENG,王瑞腾,王瑞騰,CHEN, JYH CHENG,陈志成,陳志成
申请号：
TW107139778
公开号：
TW202018658A
申请日:
2018.11.07
申请国别(地区):
TW
年份:
2020
代理人:
摘要：
A method of using neural network to remove dental image noise, the steps include: (A) reading a dental image, and preprocessing the dental image to obtain an input image information； (B) inputting the input image information A learned convolutional neural network； (C) the learned convolutional neural network filters noise to obtain a noise-removed tooth image； wherein, the learned convolutional neural network includes a noise Feature and an effective feature. In this way, the problem of low-dose X-ray image noise can be effectively improved, and high-quality dental images can be produced.一種利用神經網路去除牙齒影像雜訊之方法，步驟包括：(A)讀取一牙齒影像，將該牙齒影像經一影像預處理後獲得一輸入影像資訊；(B)將該輸入影像資訊輸入一已學習之卷積神經網路；(C)該已學習之卷積神經網路過濾雜訊後獲得一去除雜訊之牙齒影像；其中，該已學習之卷積神經網路包含一雜訊特徵及一有效特徵。藉此，可有效改善低劑量X光影像雜訊的問題，產出高品質的牙齒影像。
