采用纹理特征方法的视频图像分析

摘要海面粗糙度是用来描述海洋表面特征的物理量，因为海面粗糙度的变化可以间接体现海洋与大气的能量转换过程，这对于海洋能源的开发与利用意义重大，所以对于海面粗糙度的测量在物理海洋研究领域也十分重要。目前对海面粗糙度的测量主要是采用基于卫星高度计、微波散射仪等仪器的海洋微波遥感技术。69359

本文从数字图像处理的分形角度，通过计算和研究图像的分形维数与海面粗糙度的关系，提出并验证了求海面粗糙度的方法，为从图像领域求取海洋特征参数提供了方法参考。

毕业论文关键词海面粗糙度微波遥感技术数字图像处理分形维数

毕业设计说明书外文摘要

Title Video image analysis by using the method of texture features

Abstract

Sea surface roughness is a parameter which is used to describe the characteristics of sea surface , because the change of the surface roughness can indirectly reflect the energy conversion process of ocean and atmosphere, this is very importent for the development and utilization of ocean energy, the measurement of the sea surface roughness is also important in the field of physical ocean research. At present, the measurement of sea surface roughness mainly uses remote sensing technology which is based on satellite altimeter, microwave scatterometer instrument.

In this paper, from the view of the fractal of digital image processing, through calculating and researching the relationship between fractal dimension and sea surface roughness to propose and validate the method of seeking sea surface roughness, to provide a reference method to calculate the ocean characteristic parameters in the image field.

Keywords sea surface roughness remote sensing technology digital image processing fractal dimension

1 引言 1

1.1 研究背景 1

1.2 海面粗糙度 1

1.3 论文研究内容 3

2 分形理论概述 4

2.1 分形理论的发展 4

2.2 分形的定义 4

2.3 本章小结 5

3 图像的分形维求取方法 6

3.1 基于分形布朗运动的分形维提取 6

3.2 六种常用的图像的分形维求取方法 7

3.3 本章小结 14

4 噪声对分形维数的影响 15

4.1 高斯噪声 15

4.2 椒盐噪声 16

4.3 随机噪声 16

4.4 乘性噪声 17

4.5 本章小结 18

5 实验数据回归分析 19

5.1 数据采集与实验方法概述 19

5.2 LSSVM回归模型 20

5.3 六种方法的实验结果的回归分析采用纹理特征方法的视频图像分析:http://www.youerw.com/tongxin/lunwen_78176.html