资源列表
main
- 车牌识别程序 利用模板匹配 有模板 图片请自行载入-License plate recognition program using a template matching template
AlexNet
- 基于AlexNet模型的手写数字识别，用Tensorflow实现，可直接运行，准确率达到98 以上-Model based AlexNet handwritten digit recognition, implemented Tensorflow, can be run directly, the accuracy rate of more than 98
ann
- 用简单神经网络(CNN)实现的手写数字识别(minst),可直接运行，用的是Tensorflow框架，通过该例程可以掌握Tensorflow基本用法-With a simple neural network (CNN) to achieve the handwritten numeral recognition (minst), can be run directly, using the Tensorflow framework, through the routine can master
FaceRecognition
- openCv下隐马尔可夫模型(hidden Markov model)的人脸识别- face recognition
License-Plate-Recognition
- 利用MATLAB进行图像处理、识别。实现对车牌的识别。提供了图片和编写好的一个.m函数。-Image processing and recognition using MATLAB. To achieve the identification of the license plate. Provide a picture and write a good .m function.
facedetction
- 对彩色图片的人脸识别，这里是基于肤色来编辑程序的。另外，附了一篇相关论文。-Face recognition of color pictures, here is based on skin color to edit the program. In addition, attached a related paper.
PCA_SVM
- 附有人脸数据库，实现PCA降维，用PCA特征进行SVM训练，得到精确度-With face , to achieve PCA dimensionality reduction, with PCA features SVM training, get the accuracy
Based-on-matlab-vehicle-detection
- 基于matlab的车辆检测，Based on matlab vehicle detection。-Based on matlab vehicle detection
maingaelit
- 将最大类间方差和遗传算法相结合实现较好的图像分割效果-The maximum interclass variance and genetic algorithm are combined to achieve better image segmentation
V4
- 施工现场的缺陷分类自动识别系统，main_ICT2是特征提取，main_ST2是训练，main_IC2是识别-Construction site defect classification automatic identification system, main_ICT2 is feature extraction, main_ST2 is training, main_IC2 is identification
image_alignment
- 基于opencv的图像拼接代码，在opencv 3.2下测试成功-Based on opencv image stitching code, in opencv 3.2 under the test success
edge
- 基于opencv的图像边缘检测程序，非常好用，值得借鉴-Based on opencv image edge detection procedures, very easy to use, worth learning