文件名称:multimediaLED
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [Windows] [Visual C] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 11kb
- 下载次数：
- 0次
- 提 供 者：
- yin***
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
LED字符分割和识别，
在此项目中我们主要完成了对拍摄到的6位LED数字进行分割和识别的课题。识别的数字范围在0~9。由于拍摄环境比较复杂，需要解决复杂背景下对LED字符的分割问题。我们利用了图像的色彩信息，先进行基于色彩的分割，然后对分割结果进行了固定阈值的二值化，并利用投影修正完成了对LED数码管图像的分割，并使用基于模板匹配的算法进行了识别，在匹配过程中对图像进行了尺寸归一化处理。最终得到了较好的识别效果，对10幅样图的识别率达到100％-LED character segmentation and recognition, in this major project, we completed the shooting of the six LED figures for the segmentation and identification issues. Recognition of the range between 0 and 9. As the filming environment more complex, the need to address complex background of the character LED division. We took advantage of the color image information, the first color-based segmentation, and then divided the results of a fixed threshold value of the two values, and to use the projector that completed a pair of LED digital image segmentation possession, and use based on template matching algorithm for the identification, in the process of matching the right image In one size treatment. Finally a better identification effect of 10 samples the recognition rate of 100%
在此项目中我们主要完成了对拍摄到的6位LED数字进行分割和识别的课题。识别的数字范围在0~9。由于拍摄环境比较复杂，需要解决复杂背景下对LED字符的分割问题。我们利用了图像的色彩信息，先进行基于色彩的分割，然后对分割结果进行了固定阈值的二值化，并利用投影修正完成了对LED数码管图像的分割，并使用基于模板匹配的算法进行了识别，在匹配过程中对图像进行了尺寸归一化处理。最终得到了较好的识别效果，对10幅样图的识别率达到100％-LED character segmentation and recognition, in this major project, we completed the shooting of the six LED figures for the segmentation and identification issues. Recognition of the range between 0 and 9. As the filming environment more complex, the need to address complex background of the character LED division. We took advantage of the color image information, the first color-based segmentation, and then divided the results of a fixed threshold value of the two values, and to use the projector that completed a pair of LED digital image segmentation possession, and use based on template matching algorithm for the identification, in the process of matching the right image In one size treatment. Finally a better identification effect of 10 samples the recognition rate of 100%
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下载文件列表
multimedia
..........\main.cpp
..........\main.dsp
..........\main.dsw
..........\main.ncb
..........\main.opt
..........\main.plg
..........\mystack.cpp
..........\mystack.h
..........\main.cpp
..........\main.dsp
..........\main.dsw
..........\main.ncb
..........\main.opt
..........\main.plg
..........\mystack.cpp
..........\mystack.h