fuliye

通过阈值去噪，最关键的就是要确定最佳阈值T 的大小.如果阈值太小，可以保留更多的小波系数，但同时噪声也被保留；相反，阈值太大，可以消除更多的噪声，但重要图像特征又将被滤掉，引起偏差.目前使用的阈值分为全局阈值和局部阈值.全局阈值对各层所有的小波系数或同一层内的小波系数都是统一的；局部阈值则是根据当前系数周围的局部情况来确定合适的阈值，具有灵活性.(Threshold denoising, the most critical is to determine the optimal threshold T s size. If the threshold is too small, you can retain more of the wavelet coefficients, but the noise was retained the contrary, the threshold is too large, can be eliminatedmore noise, but the important image features in turn be filtered out, causing bias current threshold is divided into a global threshold and local threshold. global Threshold the wavelet coefficients of all the wavelet coefficients of the layers or on the same floorare unity local threshold is based on the local situation of the current coefficient around to determine the appropriate threshold, with flexibility.)

说明：  张正友相机参数标定matlab程序，压缩包中包括一份张正友标定的原文论文，一个附带实验数据和图像的matlab程序。(Zhang Zhengyou matlab camera calibration procedures, compressed package includes a calibration Zhang Zhengyou original papers, 1 with experimental data and image matlab program.)

批量的将图像转为tif格式，界面方面操作，放在ENVI的安装路径下即可(convert different format of image to .tiff)

模糊聚类图像分割，还包括spectral clustering及其改进版（按照pr2010某paper）(image segmentation using fuzzy c means & spectral clustering)

在人脸数据库中应用PCA，以及重建误差分析(Applying PCA in human face dataset and doing analysis on reconstruction differences )

说明：  在MATLAB中实现画无向网络图，可用于社群聚类分析中(In MATLAB,the drawing is not directed to network graph,which can be used in social cluster analysis.)

Abstract—Noninvasive ultrasound imaging of carotid plaques allows for the development of plaque-image analysis methods associated with the risk of stroke. This paper presents several plaqueimage analysis methods that have been developed over the past years. The paper begins with a review of clinical methods for visual classification that have led to standardized methods for image acquisition, describes methods for image segmentation and denoizing, and provides an overview of the several texture-feature extraction and classification methods that have been applied. We provide a summary of emerging trends in 3-D imaging methods and plaque-motion analysis. Finally, we provide a discussion of the emerging trends and future directions in our concluding remarks.

contourlet对LENA512灰度图的LP,DEF分解与系数重构代码,经过调试.(Contourlet LENA512 grayscale of the LP, DEF coefficient decomposition and reconstruction of the code after debugging.)

利用卷积神经网络进行特征提取，并将卷积特征可视化(Feature extraction using convolutional neural networks and visualization of convolution features)

matlab平台实现平移的亚像素配准，精度0.03像素(matlab platform translation sub pixel registration accuracy of 0.03 pixels)