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paizhaoshibie1
- 提出了一种汽车牌照的自动识别算法:先对汽车图象进行直方图均衡、平滑去噪、二值化 预处理,再根据车牌上文字变化特点快速、准确地从复杂背景中分割车牌,最后采用投影-变换系 数法提取汉字、英文和阿拉伯数字的不同维数的特征,送到相应的BP神经网络中进行识别,较好 地解决了汽车牌照的自动识别问题。
Bp_license_character_recog
- 采用bp神经网络的车牌字符识别方法研究。特征提取采用投影-变换系数法。-Bp neural network using license plate character recognition method. Feature extraction using projection- transform coefficient method.
Eye-location-
- 首先对图像进行非线性灰度变换滤除噪声，然后利用最大类间方差阈值技术对处理后的图像进行二值化处理，最后利用积分投影定位人眼-First to utilize non-linear gray-scale transformation to filter out noises, then adopts the between-cluster variance threshold segmentation method for image binarization processing, finally
halcon-regulate-light
- halcon中我亲手写的一个使用工业相机并等待鼠标做出反应后，自动投影变换图片的实例，附详细的注解-it s my manual codes, not a copy.it handle one camera then waite user s next mouse act.finally it correct image.
halcon--correct-a-rectangle
- 我在学习halcon11的过程中，买不起教程，于是自己狂啃example。这个投影变换的例子简单高效，普适性强。所以毫无保留地贡献出来，与君共享！-When I was studying Halcon software,I was too poor to buy some tutorials.So,here is one of my best explanation of one wonderful example, which is universal for many circumstanc
RAGA_PPC投影程序
- 基于小波分析变换提取特征，然后神经网络进行识别(The image recognition is realized, the image feature extraction is realized based on wavelet transform, and then the neural network is trained.)