湖北农业科学
二维卡尔曼滤波的多源信息序贯式融合去噪方法作者：陶平平 冯肖亮来源：《科技创新与应用》2018年第30期 摘 要：图像去噪方法主要是基于单传感器进行研究的，单传感器的信息已不能满足图像处理的需求。因此文章首先建立了多传感器下的二维线性离散系统的状态空间模型，然后对图像进行湖南卫视谁是英雄
2DKF去噪，最后采用多传感器的序贯式融合方法取得结果来满足图像处理的需求。开心网001
关键词：2DKF；序贯式融合；图像去噪
地球物理学会中图分类号：TP212 文献标志码：A 甲型血友病文章编号：2095-2945（2018）30-0121-03
Abstract： The main method of image denoising is addressed on the basis the single sensor image information. However， the single algorithm of a single sensor cannot meet the high accuracy need of image recognition tasks. In this paper州大学， a two dimensional linear discrete state space model of multi-sensor image system is established， firstly. And then t
he 2D Kalman filtering algorithm is utilized to complete the image denoising for each sensor. Finally， the multi-sensor information fusion in sequential fusion is utilized to fusion the results of each sensor to meet the needs of image processing.
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