bss.doc

该代码实现序列图像配准和重建过程，包含多种算法，配准算法有keren,marcal等，重建算法包含了POCS凸集投影算法(The code sequence of image registration and renewal process, including a variety of algorithms, registration algorithms are keren, marcal etc. reconstruction algorithm contains POCS POCS algorithm)

通过背景差获取目标，提取车辆的不变矩，外加矩形度，圆形度，体态比等特征构成特征向量组，通过欧式距离识别出车辆。(through poor background, target acquisition, unchanged from the moment vehicles, plus rectangular, circular, Body composition characteristics than the eigenvector group, by the Continental distance identify vehicles.)

说明：  图像去模糊，各种传统滤波算法，逆滤波、维纳滤波、LR算法等等。。。针对图像运动模糊领域(Image to blur, a variety of traditional filtering algorithms, inverse filtering, Wiener filtering, LR algorithm and so on...Aimed at the field of image motion blur)

医学图像大部分都是dicom图像，这里提供dicom图像读取、显示和保存的matlab代码，以为医学图像处理初学者提供学习。 (Dicom medical images are mostly images, here to read dicom image, display, and save the matlab code, provided that the medical image processing for beginners to learn.)

图像分割方法中有关感兴趣区域处理的程序代码(Image segmentation method for region of interest processing code)

小波脊线提取crazy climber算法的文献出处(The wavelet ridge extract crazy climber algorithm literature source)

基于PCA主成分分析算法和Yale人脸数据库，采用Matlab语言实现的人脸识别程序，整个程序分为预处理、训练、识别、GUI界面控制等几个模块，注释清晰，通俗易懂。(Based on PCA principal component analysis algorithm and Yale face database, the face recognition program is implemented in Matlab language. The whole program is divided into several modules, including pretreatment, training, recognition, GUI interface control and so on. The annotation is clear and easy to understand.)

读取envi的img格式的高光谱文件，是matlab对其进行处理高光谱图像，是env和matlab相同(Read envi img format hyperspectral file, is matlab to deal with hyperspectral images, is the same as env and matlab)

Tsai标定算法，用用于图像标定的，可以使用 (Tsai calibration algorithm used for image calibration, you can use)

图割（GC)和主动轮廓模型（ACM)相结合的一种图像分割方法，既可以进行局部图像的分割，也可进行全局图像的分割，简单实用。(A combination of graph cuts (GC) and the active contour model (ACM) image segmentation method, either local image segmentation, global image segmentation, simple and practical.)