caffe-ssd.tar

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一种简单高效地基于压缩感知的跟踪算法。首先利用符合压缩感知RIP条件的随机感知矩对多尺度图像特征进行降维，然后在降维后的特征上采用简单的朴素贝叶斯分类器进行分类。该跟踪算法非常简单，但是实验结果很鲁棒，速度大概能到达40帧/秒(A simple and efficient tracking algorithm based on compressed sensing. Firstly, with the random sensing matrix compressed sensing RIP conditions for multi-scale image feature dimension reduction, and then use the naive Bias classifier simple classification in the feature reduction after the. The tracking algorithm is very simple, but the results are robust, speed can reach 40 frames per second)

matlab环境下的基于形态学的分水岭算法,进行图象分割.(Matlab environment based on the morphology of the watershed algorithm for image segmentation.)

实现dicom图像的窗宽窗位调节和边缘提取(Window width adjustment and edge extraction of DICOM image)

说明：  提取图像的hu矩 使用matlab编写 相当稳定 计算速度较快(image hu moment steadily run fast very good worth trying)

非精确ALM解决PCA算法的例子，用后效果不错，发上来分享。(This matlab code implements the inexact augmented Lagrange multiplier method for Robust PCA.)

三维人脸数据库FRGC V1. 0,2.0包括图像的深度数据和纹理，格式分别保存为：abs和ppm 读取abs数据中的深度z轴数据，保存为480*640的矩阵，进而进行数据处理研究。并且贴ppm纹理，便于观察。 (Three-dimensional face database FRGC V1. 0,2.0 depth data including images and textures, formats were saved as: abs abs data and ppm reads depth z-axis data, save it as a 480* 640 matrix, and then studied for data processing . And paste ppm texture, easy to observe.)

相关图像算法包括大律法分割，梯度分割，分水岭分割，活动轮廓，最小生成树，相关基因算法(Great Law Segmentation, Gradient Segmentation, Watershed Segmentation, Active Contour, Minimum Spanning Tree, Related Gene Algorithms)

该代码采用IDL语言实现了从光谱库读取高光谱曲线，并且去除其包络。这是高光谱图像处理时一个重要的预处理技术。(The code using IDL language library to read from the spectrum of high spectral curve, and the removal of the envelope. It is time hyperspectral image processing is an important pre-processing techniques.)

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