基于Canny算法的图像天气状况识别

基于Canny算法的图像天气状况识别(论文14000字)
摘要：图像识别是指计算机处理已经存在的图像，以便于能够分辨出各个不相同的对象与目标的技术。处理的进程如下，首先进行图像预处理，其次进行分割图像分割，然后进行特征提取，最后进行判断匹配。简而言之，图像识别就是让计算机可以像人一样看明白图片中的内容。运用图像识别技术，人们不仅能够通过图片更快的得到所需要的资料，还能够形成一条新的和外界交互的途径，以至于能够让信息世界更加快速的运行。
如今，天气状况已经成为人们所关注的问题。在许多情况下，人们需要根据天气状况进行选择和判断。随着越来越多的天气软件的出现，人们已经可以上传图片了解实时实地的天气状况。因此，识别图片中的天气状况具有现实意义。本文针对用户们提交的天气图片，进行边缘检测，使用的是Canny算法。检测出图像边界线之后，能够继续进行识别简易的天气状况。能够分辨出晴天和雨天，方便人们出行。本论文由MATLAB进行实现。
关键字：Canny算法，边缘检测，图像处理，天气识别

Image weather condition recognition based on Canny algorithm
Abstract：Image recognition refers to the technology that is used to identify a variety of different objects and targets by computer processing an existing image. The process of recognition is as follows, first image preprocessing, followed by segmentation image segmentation, post-feature extraction, and finally to determine the match. In short, the image recognition is to let the computer can grasp the information of the image as we can do. Using the technology of picture recognition, people can not only through the picture faster access to the required information, but also to form a new and external interaction way, so that the information world can make more rapid operation.
Today, the weather condition has become a concern which people care about. In many cases, people need to choose and judge according to weather conditions.With the advent of more and more weather software, people have been able to upload pictures to understand real-time weather conditions.Therefore, it is of practical significance to identify the weather conditions in the picture.In this paper, for the weather picture which people upload, through the Canny algorithm for edge detection, we can detect the edge, and then continue to identify the simple weather conditions. We are able to distinguish between sunny and rainy days, to facilitate us to go outside. This paper is implemented by MATLAB.
Keywords:Canny algorithm,Edge detection,Image processing,Weather identification
 

目 录
一、绪论    1
1.1研究背景和研究意义    1
1.2国内外研究现状和发展趋势    1
1.3论文主要研究内容和研究成果    1
二、数字图像处理    2
2.1数字图像处理介绍    2
2.1.1数字图像处理概念    2
2.1.2数字图像处理目的    2
2.1.3数字图像处理常用方法    2
2.2数字图像处理系统    4
2.2.1数字图像处理系统的组成    4
2.2.2运用方面：数字图像处理    4
三、图像边缘检测    6
3.1图像边缘检测    6
3.1.1图像边缘检测概念    6
3.1.2图像边缘检查的顺序    6
3.2图像边缘的检测算法    6
3.2.1基于微分算子的边缘检测方法    6
3.2.2拟合法：曲线、边界曲线    7
3.2.3基于数学形态的边缘检测    7
3.2.4 基于小波变换的多尺度的边缘检测方法    7
3.2.5 串行边界查找法    7
3.3边缘检测算子    8
3.3.1Roberts算子    8
3.3.2Sobel算子    9
3.3.3Prewitt算子    9
3.3.4LoG算子    10
3.3.5Canny算子    11
3.4各个算子的比较    13
四、基于Canny算法的图片天气状况识别系统的实现    15
4.1系统可行性    15
4.2系统框架图    16
4.3系统的实现    16
4.4系统测试    17
4.4.1雨天识别    17
4.4.2晴天识别    20
五、总结与展望    22
5.1总结    22
5.2展望    22
参考文献：    23
致谢    24