资源列表
deep-belief-network
- 训练一个深度网络，并应用于MNIST库上进行字体识别-Training a deep autoencoder or a classifier on MNIST digits
LUT
- 查找表法，把数据事先写入RAM后，每当输入一个信号就等于输入一个地址进行查表，找出地址对应的内容，然后输出-Look-up table method, after prior written to RAM, the data input when a signal is input an address look-up table, find out the address corresponding to the content, and then output
opencv
- 基于vc和opencv的车牌识别,实现车牌自动跟踪，检测，并拍照，定位，识别-Based on VC and opencv license plate recognition, automatic license plate tracking, detection, and take pictures, positioning, recognition
local-image-recognition
- 通过微软计算机视觉的API接口实现本地图片的识别-By Microsoft Computer Vision API interface identify the local picture
image-recognition
- 通过微软认知服务的API接口，实现图像识别-API interface through Microsoft cognitive services, to achieve the image recognition
PlateIdentify
- 车牌识别，主要通过对车拍照片进行二值化、灰度处理、车牌定位、字符分割、字符识别-License plate recognition, primarily through the car pictures binarized gradation processing, license plate location, character segmentation, character recognition
shangchuan
- 模式识别中图像识别分类MATLAB源代码，可直接运行，对图片中的不同水果进行有效区分 -Pattern recognition image recognition classification MATLAB source code, can be run directly on the image of the different fruits to effectively distinguish
Face-recognition
- 人脸性别识别，主要使用Opencv编制而成，可以主动对图像中人脸进行跟踪识别，并识别人脸性别。-Face recognition, the main use of Opencv prepared, can take the initiative in the image of the face to track identification and identification of gender face.
ImageRetrieval
- ImageRetri （C++_毕业设计） sift,颜色直方图，灰度矩阵，HU不变矩，边缘方向直方图，检索方法使用K-means和K-D树两种，需要OPENCV支持-ImageRetri Color histogram, gray matrix, HU invariant moment, edge direction histogram, retri method using K-means and K-D tree two, need OPENCV support (C++ _ gradu
ANN
- OpenCV的ANN神经网络实现图像数字识别，可运行，能够达到99.9的准确率-ANN OpenCV neural network to achieve digital image recognition, can run, to achieve the accuracy rate of 99.9
FaceRec
- 人脸表情识别matlab程序PCA+SVM算法，SVM分类-orL人脸数据库有数据有图片-Facial expression recognition matlab program PCA+SVM algorithm, SVM classification-orL face
EdgeDetection
- 程序分成两个部分，第一个部分是将原始的彩色图像转化成灰度图，第二个部分是对灰度图进行边缘检测。经过大量的图像测试，检测效果极佳。-The program is divided into two parts, the first part is the original color image into a gray-scale image, the second part of the gray-scale image edge detection. After a lot of image t