real-pictures-imaging

fcm医学图像分割算法，适应于不规则医学图像的分割，已经调试成功，可以运行，很好。相信会对您有帮助。(fcm medical image segmentation algorithm, adapted to irregular medical image segmentation, has been successful debugging, you can run, very good. Believe will help you.)

OCR之Tesseract

detect face and recognition with lpd and pca

压缩文件里有四种图像分割的算法源代码，即阈值法、区域增长法、分裂合并法和K均值法。图片可用于检验。(The rar folder includes four source code of image segmentation,ie.thresholding, region growing, splitting and merging, kmeans. The images are able to be used for evaluation and verification. )

说明：  使用pca方法对图像进行特征提取，对训练集的20个人的共一百张人脸进行训练，使用adaboost算法生成强分类器，可以对测试集的人脸图片进行识别，且识别率较高(The PCA method is used to extract the features of the image, and the training is carried out for a total of 100 faces of 20 people in the training set. The AdaBoost algorithm is used to generate a strong classifier, which can recognize the face images in the test set with a high recognition rate)

基于半色调图像的数据隐藏即加数字水印，针对半色调图像，所以使用的是DHSPT算法，算法较容易理解，简单，嵌入效果相对较好(Hidden based on the halftone image data plus digital watermark for halftone images, use DHSPT algorithm, the algorithm is easy to understand, simple, embedded effect is relatively good)

深度学习相关代码实现，可以用来做去噪，去模糊，回归，识别等( Initialize and train an RBM energy-based model. Supports binary, Gaussian, and multinomial inputs (still in development). Supports binary and noisy rectified linear units (NReLU) in the hidden layer. Supports joint modeling of binary and multinomial variables for classification.)

这是我根据别人的算法写的模拟停车场问题的c程序,原有算法有一些指针调用的错误！,现已改正()

利用极大似然估计进行盲反卷积复原，通过多帧图像约束，效果较好(Use of maximum likelihood estimates for blind deconvolution restoration by the multi-frame image constraint, the better)

并行磁共振成算法GRAPPA，希望对大家有帮助，内有K空间数据。(Generalized Autocalibrating Partially Parallel Acquisitions (GRAPPA))