郑爱华《数字图像处理双语》教案-2017

安徽大学本科教学课程教案

课程代码：ZX36225

课程名称：数字图像处理（双语）

授课专业：计算机科学与技术/网络工程

授课教师：郑爱华

职称/学位：讲师/博士

开课时间：二○一六至二○一七学年第2学期

第4次课程教学方案

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Single sensor

Inexpensive but slow

Rotation

1.3.2Image Acquisition Using Sensor Strips

≥ 4000 sensors

CAT, MRI

Flat bed

Linear motion

Sensor ring, 3D

≥4000*4000 sensors

no motion

typical example: CCD (Charge Coupled Device)

2.3.4 A Simple Image Formation Model

Most of the images in which we are interested in this book are monochromatic images, whose values are said to span the gray scale, as discussed in Section 2.2. When an image is generated from a physical process, its values are proportional to energy radiated by a physical

source(e.g., electromagnetic waves).As a consequence, f(x, y)

本次课主要介绍图像感知和获取的过程，包括：单个传感器、带状传感器、传感器阵列以及简单的图像形成模型，接着，介绍了图像取样和量化的过程，讲述了相关概念和表示方法。

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3.2.4 Piecewise-Linear Transformation Functions

Advantage: the form of piecewise functions can be arbitrarily complex. Disadvantage: their specification requires considerably more user input.

Local Enhancement

第8次课程教学方案

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本次课主要介绍了锐化空间滤波器的基础以及拉普拉斯算子和梯度法同时也介绍了梯度法。

第10次课程教学方案

Consider the images shown. The image on the right was obtained

第10次教学活动设计inverse Fourier transform:

inverse Fourier transform:

Correspondence between Filtering in the Spatial and Frequency Domains

第11次课程教学方案

Can you think of a way to use the Fourier transform to compute (or partially compute) the magnitude of t h e gradient for use in image differentiation (see Section 3.7.3)? If your answer is yes, give a method to do it. If your answers is no, explain why.

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is the original image,η(x, y) is the noise term and g(x,y) is the resulting noisy pixel Noise Models

第13次课程教学方案

Obtain equations for the bandpass fil ters corresponding to in Eqs.(5.4-1) through (5.4-3).