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[Special Effects] multimediaLED DL : 0: 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%
Date : 2008-10-13 Size : 11.4kb User : yinxun
[Special Effects] multimediaLED DL : 0: 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%
Date : 2026-01-09 Size : 11kb User : yinxun
[Special Effects] nsct DL : 0: Contourlet 变换的平移不变性在奇异性方面导致了伪Gibbs 效应。而NSCT是一种平移不变、多尺度和多分辨率的冗余变换，它对滤波器上采样再进行分析和综合滤波，这种滤波器的设计及重构易于实现，能更好地采集频率且具规律性，在图像去噪中得到了广泛的应用。-Contourlet transform translation invariance in singularity aspects led to the pseudo Gibbs effect. And NSCT is a kind of translation invariant, multi-scale and multi-resolution redundant transform, it to filter on sampling and analysis and comprehensive filtering, this kind of filter design and reconstruction is easy to realize, and can better acquisition frequency and with regularity, in image denoising has been widely used in the field.
Date : 2026-01-09 Size : 430kb User : chen
[Special Effects] ScreenDetect DL : 0: 根据图像中能量的局部分布效应，检测LCD,LED等屏幕的缺陷等问题；-According to the local distribution effect, the image energy detection of LCD, LED and other screen problem
Date : 2026-01-09 Size : 5kb User : lee
[Special Effects] S3C2410_interrupt DL : 0: 适用于S3C2410开发板的实现中断的裸板程序，用LED显示来反映效果。-Bare board S3C2410 development board suitable for the realization of interrupt program, with LED display to reflect the effect.
Date : 2026-01-09 Size : 5kb User : zd8899233kuibu