数字图像处理是计算机和电子学科的重要组成部分，是模式识别和人工智能理论的的中心研究内容。本课程的目的是使学生掌握数字图像处理的基本概念，熟练使用分析数字图像处理编程的基本工具，了解数字图像处理及其工程应用前景。主要教学内容包括：（1）数字图像处理的基本概念，包括数字图像格式，数字图像显示，数字图像处理软件，灰度直方图，点运算，代数运算和几何运算等概念。（2）介绍线性系统理论。（3）重点介绍二维富氏变换和滤波器设计。（4）介绍离散图像变换和小波变换的基本原理与方法。（5）介绍图像恢复和图像压缩的基本原理与方法。（6）介绍图像分割和目标测量的基本原理与方法。（7）介绍彩色图像处理，多谱图像处理以及三维图像处理的理论与方法。

Digital image processing is the important part of the computer science and electric engineering subjects. It is the central research content of pattern recognition and artificial intelligence. The intension of this course is to help the students to understand the basic concepts of digital image processing, to use the basic tools of digital image processing programming proficiently, and to understand the foregrounds of the projects related to the digital image processing.The primary teaching contents are as follows:(1)introduction to the basic concepts of digital image processing, including digital image format, digital image display, digital image processing tools, gray level histogram, point operation, algebraic operation, geometric operation and so on(2)introduction to the linear system theory(3)introduction to the fundamental principles and methods of the two-dimension Fourier transform and filter design.(4)introduction to the fundamental principles and methods of discrete image transformation and wavelet transform(5)introduction to the fundamental principles and methods of image restoration and image compression(6)introduction to the fundamental principles and methods of image segmentation and target measure.introduction to the theories and methods of color image processing, spectrum image processing(多谱图像) and three-dimensional image processing