资源列表
Blue-Screen
- 蓝屏幕技术（Blue Screen）是提取通道最主要的手段。它是在拍摄人物或其他前景内容，然后利用色度的区别，把单色背景去掉。所以蓝屏幕技术有个学名叫色度键（Chroma Keying）-Blue screen technology (Blue Screen) is a means of extracting the main channel. It is the prospect of shooting people or other content, and then use the dif
QUARTZ-EPIC-master
- 眼底图像的识别与分割 眼底为血管瘤的识别与分割-retinal vessel recgonition and segmentation
PYaleB
- yaleB人脸数据库，可用与人脸识别的数据集，包含数据集和实现代码-YaleB face , and the face recognition data sets are available, and contains data sets and the implementation code
HUju
- 提取图像的7个hu不变矩特征，基于matlab，用来进行图像识别 -7 hu extracted image moment invariants, based on matlab, used for image recognition.
Target-detection
- 本文选用了背景减法、帧间差分法和光流法。背景减法是通过将当前帧与背景帧相减得出灰度差值并将此差值与阈值比较判断是否有运动目标。-This paper chose the background subtraction and frame difference method and optical flow method.Background subtraction is through to the current frame and background frame subtraction gr
matlab
- 利用MATLAB实现的提取卫星图像的纹理特征，包括直线曲线等，效果是可以有三种提取处理方式-The satellite image texture feature extraction using MATLAB to achieve, including linear curve, the effect is can have three kinds of extraction process
遗传算法
- 用于实现图像分割，获得最佳的特殊区域，目标区域。
Krawtchouk_Moments
- 包含Krawtchouk_Moments的文章以及计算的matlab程序，输入参数可直接运行-Article and matlab calculation procedures, the input parameter contains Krawtchouk_Moments can be directly run
PlateCode
- MATLAB车牌识别系统，拥有良好的界面，能够对不同尺寸图片输入进行识别，并进行数据库连接，实现多地点车牌识别与记录。生成车辆迁徙图。-MATLAB license plate recognition system, has a good interface, it is possible to identify different size image input, and connectivity, multi-site license plate recognition and reco
shouxieshuzishibie
- 用于手写数字的识别，用Matlab编程，里面有数字样本和程序，用神经网络进行训练，已经运行成功。-For recognition of handwritten digits, Matlab programming, which has digital samples and procedures for training the neural network, has been run successfully.
pool_config_multi
- sum pooling, max pooling, average pooling,三种 Feature Coding pooling方法-sum pooling, max pooling, average pooling, three kinds of " Feature Coding" pooling method
mycnn
- 卷积神经网络识别字符的Matlab程序，包含所需的所有素材和自己改进的一部分代码-Convolutional neural network for handwriten digits recognition: training and simulation. This program implements the convolutional neural network for MNIST handwriten digits recognition, created by Yan