labview

说明：  均值漂移聚类的源程序,用mean shift 进行聚类，以及绘图显示，很有价值(mean shift based clustering code, using matlab)

北斗二代接收机中的跟踪程序，模块有载波环（二阶FLL，三阶PLL），FLL辅助PLL,码环是用二阶DLL，再用载波环辅助码环(Compass II receiver tracking program, module carrier ring (second-order FLL, the third-order PLL), FLL auxiliary PLL, code ring is by Second DLL, then the carrier ring auxiliary code ring)

注意：本程序中，每点击一次“增加亮度”，图像灰度提升16；每点击一次“降低亮度”，图像灰度降低16。(Note : This procedure, every click an "increase in brightness," gray upgrade 16; Click on each of a "lower brightness," gray lower 16.)

图像重采样，根据新旧图像像元大小的比例进行图像的重采样，(This function resamples the images at the new grid points defined by the new pixel sizes. It assumes that intensities are defined at the pixel centers)

超分辨率图像处理从几幅图象中提取像素合成新的比较清晰的图像(Super-resolution image processing to extract images from a number of new synthetic pixel images clearer)

基于MRI的脑组织分割。首先从给定的MRI图像中得到脑区域，而后计算脑容积；再得到脑白质灰质区域，并计算百分比。(Given an MRI scan, first segment the brain mass from the rest of the head, then determine the brain volume. Also compare portions of gray and white matter present. )

说明：  一种基于粒子滤波的测向定位跟踪算法，一种基于粒子滤波的测向定位跟踪算法。(A particle filter based on the finding and location tracking algorithm, a particle filter based on the finding and location tracking algorithm.)

基于OPENCV的SIFT特征提取与匹配算法。包含完整的从图像高斯金字塔、DOG、空间极值点提取、关键点描述、KDtree匹配等关键步骤的全部函数实现，对全面深入理解Lowe的SIFT算法有莫大帮助。程序运行前须安装（1）OpenCV: http://opencvlibrary.sourceforge.net （2）SIFT: http://web.engr.oregonstate.edu/~hess/index.html，并配置其环境参数。(OPENCV the SIFT-based feature extraction and matching algorithm. Contains a complete Gaussian pyramid from the image, DOG, space extremum point extraction, description of key points, KDtree matching key step in the realization of the full function of the comprehensive and in-depth understanding of Lowe s SIFT algorithm of tremendous help. Program to run before the installation of (1) OpenCV: http://opencvlibrary.sourceforge.net (2) SIFT: http://web.engr.oregonstate.edu/ ~ hess/index.html, and configure the parameters of their environment.)

本案例采用基于块匹配的图像拼接流程来执行拼接操作，载入图片文件夹来作为待拼接对象，通过进行图片序列的匹配、融合来得到拼接效果，并分别对灰度图像、彩色图像进行处理。(This case is based on block matching process to perform image stitching splicing operation, load images folder as an object to be spliced, by matching the fusion image sequence to get the mosaic effect, respectively, on the gray image, color image processing .)

说明：  一种改进的快速模糊边缘检测算法 能够快速有效地提取二维图像数据边缘(An Improved Fast fuzzy edge detection algorithm to quickly and effectively extract the edge of two-dimensional image data)