Title

一種基於神經網絡的X光圖像畸變校正方法

Translated Titles

An X-ray Image Distortion Correction Method Based on Neural Network

Authors

張劍(Jian Zhang);杜志江(Zhi-Jiang Du);富历新(Li-Xin Fu);孫立寧(Li-Ning Sun)

Key Words

X光圖像 ; 畸變校正 ; 神經網絡 ; X-ray image ; distortion correction ; neural network

PublicationName

機械與電子

Volume or Term/Year and Month of Publication

2005卷3期(2005 / 03 / 24)

Page #

38 - 41

Content Language

簡體中文

Chinese Abstract

通過對X光圖像所產生畸變的分析,提出了一種基於泛化能力的神經網絡系統整體校正方法。該方法只需確定網絡輸入輸出和約束條件,無需考慮中間過多的不確定因素,即可建立空間點與圖像點的映射關係,然後採用雙線性變換進行灰度插值。實驗表明,該方法校正效果好,能夠滿足對圖像進行分析處理的要求。

English Abstract

By the analysis of X-ray image distortion, this paper presents a neural network system correction method based on global optimization. This method requires the input, output and restriction conditions without considering the over-many uncertain factors, and can set up the mapping relations between space points and image points, then adopts a bilinear interpolation method for gray-level determination. Experimental results indicate that this method has good correction effect, and can meet the demands of image analysis and processing.

Topic Category 基礎與應用科學 > 資訊科學
工程學 > 機械工程
工程學 > 電機工程