GradientMI

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.

使用光流法对运动目标进行估计，要使用opencv一起实现。效果还不错(Using optical flow method to estimate the moving target, to use opencv implemented together. Results were pretty good)

运用相位相关法对图像进行匹配，并通过图形形象地显示相关系数位置。对图像的亮度变换不敏感，相关峰尖突出，有较高的配准精度。(fft、ifft、phase correlation)

SEEDS超像素分割算法的源码，C++实现，可运行(The source code of SEEDS Superpixel picture segmentation)

用于SAR图像识别与分类的官方MSTAR图像集，百度云链接，永久有效，2GB。(Official MSTAR image set for SAR image recognition and classification, Baidu cloud link, permanently valid, 2GB.)

高光谱遥感影像数据降维处理 包括线性降维和非线性降维处理(Hyperspectral remote sensing image data to reduce the dimension of linear dimensionality reduction and nonlinear dimensionality reduction processing)

当前流行的机器学习算法之一：boosting的变体——Gentleboost(The current popular one of machine learning algorithms: boosting variants- Gentleboost)

基于图象小波变换的图象编码的经典算法．程序中包括压缩和解压缩的过程，有可执行的示例．(Image-Based Wavelet Transform Image Coding Algorithm classic. Procedures, including compression and decompression process, the sample has executable.)

用VC编写的一个图像处理的程序：它可以实现图像的增强，包括：图像的平滑、中值滤波、梯度锐化、拉普拉斯锐化和伪彩色编码(VC prepared by an image processing procedures : it can enhance the images, including : image smoothing, Median filtering, sharpening gradient, Laplacian sharpening and pseudo-color coding)

这是DBSCAN超像素分割的代码，可以发表个很好的论文，(This is a DBSCAN hyperpixel segmentation code that can publish a very good paper,)