包括边缘二值图像形态学梯度的检测…

该类封装好了图像处理的功能，可以直接使用该类读取和显示DIB位图。是图像处理前期工作中非常重要的部分。-Such a good package of image processing functions, such direct access to read and display bitmap DIB. Image processing the preliminary work is a very important part.

图像的二值化转变，将灰度图像转变成二值图像-Image binarization transformation, the gray-scale image into binary image

（1）应用9×9的窗口对上述图象进行随机抽样，共抽样200块子图象； （2）将所有子图象按列相接变成一个81维的行向量； （3）对所有200个行向量进行KL变换，求出其对应的协方差矩阵的特征向量和特征值，按降序排列特征值以及所对应的特征向量； （4）选择前40个最大特征值所对应的特征向量作为主元，将原图象块向这40个特征向量上投影，所获得的投影系数就是这个子块的特征向量。 （5）求出所有子块的特征向量。 -(1) the application of 9 × 9 window of these images at random, a total sample of 200 sub-image (2) all sub-images according to out-phase into a 81-dimensional row vector (3) all 200 lines for KL transform vector, derived its corresponding covariance matrix of eigenvectors and eigenvalues, in descending order by eigenvalue and the corresponding eigenvector (4) a choice to 40 corresponding to the largest eigenvalue eigenvector as the PCA, the original image block to the 40 feature vectors on the projection, the projection coefficients obtained by this sub-block eigenvector. (5) calculated for all sub-block eigenvector.

里面是各种图像处理的算法，包括边缘算法等-There is a variety of image processing algorithms, including algorithms such as edge

机器视觉的开发包，包括摄像机的标定，图像分割，等。-Machine vision development kit, including camera calibration, image segmentation, and so on.

收集的一些有关色彩图像中值滤波的文章 希望对大家有帮助-Collected some of the color filter image of the article would like to have everyone help

本文针对多光谱图像配准中不同光谱图像间存在较大的灰度差异、同一景 物在不同波段表现的特征也各不相同等问题，提出了基于互信息相似性测度的 多光谱图像配准算法。-In this paper, multi-spectral image registration between images in different spectral gray there is a big difference, the same scene in different performance characteristics of band varies and so on, based on mutual information similarity measure for multi-spectral image registration algorithm .

通用的DIB类库，能实现bmp文件的显示，适合图象处理初学者-DIB generic class libraries, can achieve the display bmp file, suitable for image processing for beginners

用高帽变换来对图像灰度进行处理 希望大家有用-praising used to transform the image processing gray hope it may be useful

算法特点： 1）可检测正面正负15度人脸； 2）支持多人脸检测； 3）经过优化后对尺寸为320×240的视频图像检测速度达15帧/秒； 4）支持灰度图像人脸检测、低照度视频图像人脸检测。 测试条件：要求计算机安装USB CMOS视频摄像头及驱动程序。 运行要求：可执行程序exe与配置文件FPD.ini在同一个目录下。 -Algorithm characteristics: 1) to deliver people testing positive face of plus or minus 15 2) support for more than face detection 3) after the optimized size of 320 × 240 video image detection rate of 15/s 4) to support the gray Image Face Detection, illumination video face detection. Test conditions: installation requires a computer USB CMOS video camera and driver. Operation requirements: exe executable files and configuration FPD.ini in the same directory.