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multimediaLED
- LED字符分割和识别， 在此项目中我们主要完成了对拍摄到的6位LED数字进行分割和识别的课题。识别的数字范围在0~9。由于拍摄环境比较复杂，需要解决复杂背景下对LED字符的分割问题。我们利用了图像的色彩信息，先进行基于色彩的分割，然后对分割结果进行了固定阈值的二值化，并利用投影修正完成了对LED数码管图像的分割，并使用基于模板匹配的算法进行了识别，在匹配过程中对图像进行了尺寸归一化处理。最终得到了较好的识别效果，对10幅样图的识别率达到100％-LED character segmentat
DistCal
- 包含一种新的相对距离、欧式聚立等的距离计算方法，计算每个训练样本到所有测试样本的距离。-includes a new relative distance, Continental and others Poly distance calculation method calculated for each sample to test all samples distance.
shipinjiankong
- 视频监控中运动目标检测与背景更新方法,不仅给出了怎么样检测目标,而且运用更新的方法实现了更好的检测.-Video Surveillance moving target detection and background updating, not only given how the samples, and update the methods used to achieve better detection.
person1_256
- 超分辨率复原（分块处理） 将样本库中的高分辨率图象和低分辨率图象分别做分块处理，当新输入一幅低分辨率图象时，分成小块到样本库中寻找最匹配的高分辨率块，然后复原出高分辨率图象。-Superresolution recovery (block processing) for a sample of high-resolution images and low-resolution images respectively block , when the new importation of a
ContourBitmapSrc
- ContourBitmapSrc.zip CContourBitmap - A Region Creator Introduction A few weeks ago I was looking for a way to create irregularly shaped windows from a bitmap with a user defined transparent color. The MFC samples, that I found so far, have the
4-6
- /* generate random sample from multigaussian distribution */ /* shuffle samples */
DecklinkFilters
- There a few sample filters that have been written to support the other DeckLink DirectShow samples.
DecklinkHistogram
- DecklinkHistogram is a simple dialog based Microsoft Windows video capture and preview application. It uses the Sample Grabber Filter and the ISampleGrabber interface to extract samples from a capture graph and into an application for in order to per
OpenCV.rar
- 使用OPENCV进行图像编程的实例代码，覆盖了OPENCV的所有基本操作，是学习和修改的好代码。,OPENCV SAMPLES
w_ipp-samples_p_6.0.0.127.zip
- 这是Intel官方提供的在windows环境下使用英特尔集成性能原件(Intel IPP)的程序实例，包括音视频编解码、计算机视觉、数据压缩、图像编解码、图像处理、信号处理、语音识别、字符串处理等。,This is the official Intel in windows environment using the Intel Integrated Performance Original (Intel IPP) for instance, including audio and video
KL
- 基于KL变换的特征提取的方法。 选取数据库中的部分样本（每个人的前5张图片）作为训练样本，其余作为未知的测试样本。从训练样本中得到KL变换矩阵，然后对训练样本和测试样本都进行变换，用变换后的数据作最近邻识别，距离可以为对应灰度值之差的平方和，统计识别率。-KL transform based feature extraction method. Select the database part of the sample (each person' s top 5 pictures)
Matlab_Classification_based_on_BP
- 基于BP神经网络的遥感图像分类代码。从样本中提取崇明岛东滩十种地物的光谱特征，并训练BP网络，再利用网络进行分类-BP neural network-based remote sensing image classification code. Extracted from samples of 10 kinds of Chongming Island, Dongtan features of the spectral characteristics and to train BP networ
45353453
- 非常好的人脸以及人眼检测的例子。OpenCV支持的目标检测的方法是利用样本的Haar特征进行的分类器训练，得到的级联boosted分类器（Cascade Classification）。注意，新版本的C++接口除了Haar特征以外也可以使用LBP特征。-Very good example of the human face and the human eye to detect. OpenCV supported target detection method is carried out us
gabor
- Gabor小波变换代码用于局部特征提取使用，又相当好的效果-Gabor texture descr iptor have gained much attention for different aspects of computer vision and pattern recognition. Recently, on the rayleigh nature of Gabor filter outputs Rayleigh model Gabor texture descr ipt
CellCheck
- 系统可以以病人的血液样本为原始数据，通过一系列图像处理和分析，识别出血液中的红细胞，根据红细胞的个数测出血液中的红细胞密度，可方便用于临床诊断中，大大提高诊断速度和效率。-System can be the patient s blood samples for the raw data, through a series of image processing and analysis, identification of red blood cells in the blood, accor
Skeletontriplepoints
- 本程序可以检测出抽取骨架后的二值图像中的三叉点和端点，可以设定选项 "bwmorph" 或"thin"。-This procedure can be detected in samples after skeleton binary image of the trigeminal point and end point, you can set the option bwmorph or thin .
CellRecognitionStatisticalSystem
- 本系统是医院中血液红细胞计数的实用系统。它主要以病人的血液样本为原始数据，通过一系列的图像处理和分析，最后识别出血液中的红细胞，同时给出红细胞的个数。-Hospital in the system are blood red blood cell count of practical systems. It is mainly the patient' s blood samples for the original data, through a series of image proc
EM_for_classify
- 混合高斯模型EM算法,对数据样本进行归类-EM algorithm by mixture gaussian model, calssify the data samples
contourlet_toolbox
- contourlet工具箱，包括五株采样、方向滤波器、塔型滤波器及SNR等函数，可直接对图像进行基于contourlet的分解和重构-contourlet toolbox, including the five samples, the direction of filters, tower-type filter and the SNR, such as function, can be directly based on image decomposition and reconstruct
kmean
- 基于OpenCV的二元吗，实现了划分随机分布点集的K-均值算法。按照类别分组的输入样本顺序输出包含样本类别索引的数组labels(i)，存储在样本矩阵的第i行中。-Based on the binary OpenCV吗, implementation of the demarcation point set of randomly distributed K-means algorithm. Input in accordance with the type of packet contains