哈尔滨工业大学自动化测试与控制系,哈尔滨,150001
纸质出版:2000
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张兆礼, 孙圣和. 基于一维自组织神经网络的图像数据融合算法研究[J]. 电子学报, 2000,28(9):74-77.
ZHANG Zhao-li, SUN Sheng-he. Image Data Fusion Algorithm Based on the One-dimensional Self-organizing Neural Network[J]. Acta Electronica Sinica, 2000, 28(9): 74-77.
多传感器数据融合技术最近在图像处理领域得到广泛的重视和应用.传统图像处理是典型的二维信号处理
图像数据融合也属此范畴.为了融合来自同一景物的多幅带有不同噪声的图像
本文提出了一种基于一维自组织特征映射神经网络的图像融合算法
利用等灰度图法来确定自组织映射神经网络的聚类数
并用一维的像素特征量直接进行二维图像信号处理. 仿真试验给出的详细结果表明了该图像融合算法的有效性.
Multisensor data fusion has played an important role in image processing recently.Traditional image processing is a typical two-dimensional signal processing.The image data fusion belongs to this area as well.For some images from the same scene with different kinds of noise
this paper presents a new kind of image data fusion algorithm based on the one-dimensional self-organizing feature map neural network.This method uses equal gray density figure to determine the number of clusters
and utilizes one-dimensional pixel value to perform two-dimensional image processing.Simulation results demonstrate the effectiveness of the proposed image data fusion method.
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