一种用于图像滤噪的Kalman滤波器设计【毕业论文】.doc

- PAGE I - 本科毕业设计 （20 届） 一种用于图像滤噪的Kalman滤波器设计 所在学院 专业班级 电气工程及其自动化 学生姓名 学号 指导教师 职称 完成日期 年 月 PAGE I 摘　要 【摘要】数字图像处理是采用一定的算法，用计算机对图像进行处理和分析，以满足人眼视觉需求或者其他设备的需求。目前，数字图像处理技术已经在众多应用领域得到了广泛的研究和应用，并取得巨大的成就。 在1960年，卡尔曼出版了他最著名的论文，描述了一个对离散数据线性滤波问题的递归的解决方法。从那时起，由于数字计算的研究进步，卡尔曼滤波器已经得到广泛研究和应用，特别在自动化或协助导航领域。卡尔曼滤波器是一系列数学方程式，提供了一种有效的计算（递归）方法去估计过程的状态，是一种以平方误差的均值达到最小的方式。滤波器在很多方面都很强大：它支持过去，现在，甚至将来状态的估计，而且当精确建模系统的确切性质未知时也可以做。 MATLAB是矩阵实验室的简称，由美国的MathWorks公司出品。其强大的科学运算、灵活的程序设计流程、高质量的图形可视化与界面设计、便捷的与其他程序和语言接口的功能，使得MATLAB在图像处理方面得到了广泛的应用。 【关键词】数字图像处理；图像滤噪；Kalman滤波；MATLAB。 Abstract 【ABSTRACT】Digital image processing is using computer to do image processing and analysis with certain algorithm,in order to satisfy human visionremains or other equipment demand.At present, the digital image processing technology has received extensive research and application, and achieved great success in many applications. In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discrete-data linear filtering problem. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in the area of autonomous or assisted navigation.The Kalman filter is a set of mathematical equations that provides an efficient computational (recursive) means to estimate the state of a process, in a way that minimizes the mean of the squared error. The filter is very powerful in several aspects：It supports estimations of past, present, and even future states, and it can do so even when the precise nature of the modeled system is unknown. MATLAB is the abbreviation of matrix lab, produced by the company of MathWorks in the United States.Its strong scientific operation, flexible program design process, high quality graphics visualization and interface design, convenient and other procedures and langua