matlab红外图像边缘检测方法研究
关键词 ： 图像处理 边缘检测 matlab仿真 微分算子
毕业论文设计外文摘要
Title Infrared Image Edge Detection Methods
Abstract
In the infrared image analysis and target identification system ,it is very important to determine the edge of the target ,because the result of the edge detection directly affects the subsequent image analysis . edge detection of the image can exclude the unimportant relatively information ,and greatly reduce the amount of data ,leaving only the important structural properties of the image.
Based on differential operator for edge detection is still the more common methods of edge detection . The paper intruduces Roberts operator, Sobel operator, Prewitt operator, Log operator, Canny operator, Laplacian operator and other classic edge detection operators and some improved algorithm .By algorithm simulation in matlab software , the simulation results of comparison and research, come to their own characteristics and scope of different algorithms.
Keywords:image processing ;edge detection;Matlab simulation ;differential algorithm
目 录
1 引言 1
1.1 研究背景 1
1.2 研究现状 2
2 红外成像的基本原理 3
2.1 红外热成像的机理 3
2.2 红外成像的特点 4
3 经典边缘检测算法 5
3.1 边缘检测的原理 5
3.2 经典的边缘检测算法 6
3.2.1 Roberts边缘检测算子 6
3.2.2 Sobel边缘检测算子 8
3.2.3 Prewitt边缘检测算子 9
3.2.4 Canny边缘检测算子 11
3.2. 5 Log边缘检测算子 13
3.3 经典边缘检测算子的比较 17
4 基于Susan算法的边缘检测 20
4.1 Susan算法的基本原理 20
4.2 Susan边缘检测算法 21
4.2.1 Susan算法描述 21
4.2.2 模板的选取和阈值g、t的确定 21
4.2.3 matlab编程 22
5 基于阈值分割和数学形态学的边缘检测算法 25
5.1 阈值分割 25