基于图像处理的森林火灾识别方法研究

 2022-01-18 12:01

论文总字数:20288字

目 录

目 录 2

第一章 绪论 1

1.1选题的目的和意义 1

1.2 国内外森林火灾监测预警技术概况 1

1.2.1 国外发展概况 2

1.2.2 国内发展概况 2

1.3 本文主要研究内容 3

第二章 森林火灾图像识别研究的理论概述 4

2.1森林火灾的基本特性 4

2.1.1 森林火灾的种类 4

2.1.2 火焰的燃烧现象 4

2.1.3火焰的热物理特征 5

2.2图像处理识别的主要内容 5

2.2.1图像预处理的原理 6

2.2.2图像分割技术 6

2.2.3森林火灾图像的特征 6

3.1图像预处理的原理 7

3.2图像增强 7

3.2.1直方图灰度变换 7

3.3图像滤波 9

3.3.1 中值滤波增强 9

3.3.2 matlab中值滤波程序示例 10

第四章 火焰图像区域分割 12

4.1基于普通阈值法的火焰区域分割 12

4.2迭代法阈值分割 12

4.2.1迭代算法原理 13

4.3 otsu法阈值分割 14

4.3.1 otsu算法原理 14

4.4数学形态学处理 15

4.3.1腐蚀 15

4.4.2 膨胀 16

4.4.3 开运算 17

第五章 火焰特征提取 19

5.1特征提取的原则 19

5.2火焰的静态特征 19

5.2.1森林火灾视频图像的颜色特征 19

5.2.2在HSV空间下的颜色特征提取 20

5.2.3 HSV分量图及H-S直方图示例 20

5.2.4 基于matlab的火焰识别实验 21

5.3 HOG特征提取方法 23

5.3.1颜色空间归一化 23

第六章 火焰识别 25

6.1 支持向量机在火焰识别中的应用 25

6.1.1支持向量机(svm)工作原理 25

6.1.2 SVM 分类器设计 26

6.3 GUI界面设计 27

6.4 运行效果 31

结论 34

参考文献 35

致谢 36

基于图像处理的森林火灾识别方法研究

王一凡

, China

Abstract: The role of forest resources in the earth's ecology is self-evident, but every year tens of thousands of square kilometers of forest are dissipated in the ravages of forest fires.However, the harm caused by forest fires to the forest environment cannot be estimated. Almost every year, hundreds of thousands of large and small forest fires have been reported in the world. The losses caused by them have reached tens of billions of U.S. dollars and the damage caused to natural ecology is inestimable. Therefore, the research on the identification and monitoring technologies for forest fires has been stepped up. , is one of the most urgent issues in the countries of today's society. For forest fire protection against such a wide range of fire monitoring, this paper presents a forest fire identification research program based on image processing. This forest fire monitoring method integrates computer vision, digital image processing, pattern recognition and signal processing technologies. Without the limitations of the environment and distance, the flame can be automatically identified and can act as a fire alarm early in the fire. Experiments show that the preprocessing, flame threshold and flame feature extraction of sample images are progressive, Through the first few steps to clearly identify the contents of the final realization of the identification of forest fire analysis.

Keywords: image processing, image preprocessing, region segmentation, feature extraction, flame recognition

第一章 绪论

1.1选题的目的和意义

剩余内容已隐藏,请支付后下载全文,论文总字数:20288字

您需要先支付 80元 才能查看全部内容!立即支付

该课题毕业论文、开题报告、外文翻译、程序设计、图纸设计等资料可联系客服协助查找;