摘要啤酒销量的日益增加使得确保啤酒瓶的安全显得极为重要。本课题意在研发自动检验啤酒瓶口裂纹以及瓶内残余液的系统。可以快速，高准确率的达到对酒瓶检测的目的。以及可以在生产当中实际应用。61625

    本文通过查阅书籍，以及了解啤酒行业的现状，指定出了一套研究方案。本方案主要是通过图像处理技术，对获得的进行处理，如：灰度化，阈值分割，膨胀腐蚀等常用的手段，使得图像达到满意的标准最后进行判别。程序方面主要是通过C++程序处理，来编写程序。

    通过研究和实际的操作，本课题完成了从获得图像，到图像经过系统处理，最后得出判别结果的整个过程，也完成了每一个程序的和编写和调试。经过实验分析准确率能达到60%以上，系统当中的一些部分还需要改进和调试，用更好的办法处理，其中最重要的是在获得图像时，光照不均匀，使得判断会出现很大的错误，误认为亮光为缺陷，使得准确率下降。

毕业论文关键词：缺陷，图像处理，图像分割，C++

毕业设计（论文）外文摘要

Title   Beer bottle crack detection   technology automatically                                     

Abstract  Increasing sales of beer beer bottle makes sure the safety is extremely important. This topic is intended to develop cracks and automatic     inspection beer bottle bottle raffinate system. Can quickly achieve a high accuracy of the bottle detection purposes. As well as practical applications in the production of which.

  In this paper, inspection of books, as well as to understand the status of the beer industry, specifying a set of research programs. The program is mainly through image processing technology, the obtained processing, such as: gray, threshold segmentation, corrosion and other commonly used means of expansion, making the final image to achieve a satisfactory standard to discriminate. Procedures mainly through the C + + program processing to write programs.

  Through research and practical operation, the subject completed from the obtained image to the image processing through the system, the conclusion that discrimination results of the whole process, and also completed a program and each write and debug. After experimental analysis accuracy rate can reach 60% or more, in which some parts of the system needs to be improved and debugging process in a better way, the most important thing is to obtain an image, uneven illumination, so that there will be a lot of judgment errors, mistaken light of defects, making accurate rate.

Keywords : Defect, image processing, image segmentation, C + + 

 目次

1引言 3

1．1 课题的意义与目的 3

1．2 检验啤酒瓶系统在国内外的研究情况 4

1．3 图像处理与识别发展 4

2  系统的硬件设计 5

2．1  成像装置组成 5

2．2 CCD摄像头 6

2．3  LED优点 7

2．4 图像采集卡 7

3 图像处理软件C++及图像文件格式 8

3.1 软件C++ 8

3.2 BMP图像文件的格式 8

3.3  位图有关数据 9

4 图像处理