资源列表
A_New_Algorithm_for_Character_Segmentation_of_Lice
- 这是一篇讲车牌识别系统的理论文档，可以指导程序员编写车牌识别的系统，文档的为英文格式。-This is a theory about the document license plate recognition system can guide the programmer to write license plate recognition system, the document is in English format.
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- 很强大的车牌识别系统。是做车牌识别系统的很好参考。-License plate recognition system is very powerful. License plate recognition system is doing a good reference.
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- 基于语料库的中文姓名识别方法研究 本文在大规模语料基础上提取和分析了中文姓氏和名字用字的使用频率，研究了 中文姓名识别的评价函数，动态地建立了姓名识别统计数据表和姓名阅值-Corpus-based Study of Chinese Names Recognition Based on the large-scale extraction and analysis of corpus based on the first and last name in Chinese character
Reinforcement--Transfer-Learning
- 采用迁移的方法来处理强化学习中策略空间的搜索问题-Migration method is adopted to deal with reinforcement learning strategy in the space of the search problem
Face-recognition
- 与数字图像处理相关，基于VC++实现人脸识别的的程序。-Associated with the digital image processing, based on vc++ realize face recognition program
positioning_a_pen
- 该程序逐步进行，非常详细，是图像识别定位的学习好例子。-The program gradually, very detailed, is a good example of learning image recognition positioning.
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- 提出了一种基于垂直字符边界点特征的车牌定位方法，该方法能有效定位车牌，定位精度 高达98％，定位时间不超过2 S，并能有效地克服光线和无气条件等影响。-Presents a character based on the vertical plate location feature boundary point method can effectively locate license plate, positioning accuracy of up to 98 , positioning
Canny
- 本实例程序实现了 用Canny算子提取边缘的算法而且包含了示例图片。-This example program implements Wiener filtering algorithms and contains sample image.
Target_Tracking
- 上传一片做红外图像处理的好方法，使用的是纹理特征，一种基于纹理特征的红外成像目标跟踪方法.pdf-From an infrared image processing to do the good way, using texture features, texture features based on target tracking in infrared imaging methods. Pdf
neural-network
- 指出了传统边缘检测算子算法的不足,提出了一种利用基于BP神经网络的数字图像边缘检 测算法,即利用传统边缘检测算子检测出来的图像中像素的灰度的不同比例作为学习训练图像,进行神经网络的学习训练,改变神经网络的结构参数得到神经网络的模型参数,最后给出了BP神经网络实现图像边缘检测的实验研究结果。从实现中可发现,将人们关于边缘特征的先验知识包含在内进行数字图像的边缘检测,能够取得比较好的效果-The paper points out the limitation of the traditional
jsMath-3.4c
- 网页数学公式编辑器
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- 基于一种新的二值化优化方法 与 实现：综合全局二值化与边缘检测的图像分割方法-Based on a new binarization method and the realization of optimization: an integrated global binarization and edge detection for image segmentation method