GPEXPAND-and-GPREDUCE

基于radon的图像运动模糊参数估计程序，估计了模糊角度与模糊尺度，但过大的图片需先处理后才能使用(Radon-based image motion blur parameter estimation procedure, estimates of the fuzzy point and fuzzy scale, but the picture is too large to be treated before use)

ROS CODE TO PUBLISH A LOCAL IMAGE

说明：  在图像分割中，利用Hough变换进行直线提取的matlab源程序。提取方法不同于一般的边缘检测算法。(In image segmentation using Hough transform for straight line extraction matlab source. Extraction method is different from the general edge detection algorithm.)

简化数据模型、减少数据处理时间、提高成型效率。算法无需建立三角面片之间的拓扑关系，可直接进行切片分层，切平面与网格面片所得的交线段也无需排序，节省了生成轮廓线时对交线段重新排序所需的时间，提高了分层处理的效率。(Simplify the data model, and to reduce the data processing time and improve the molding efficiency. Algorithm without establishing the topological relationships between the triangular dough piece, can be directly slice layered tangential plane with the grid cross-segment of the dough piece obtained without sorting, save when the contour line is generated on the cross segment reordering the time required, improve the efficiency of the hierarchical processing.)

c# bmp图片转 jpg格式实例 附源码

说明：  包括canny，sobel，log等边缘检测的改进算法，使用效果良好(Including improved edge detection algorithms such as canny, sobel, log and so on, the application effect is good.)

多基线干涉合成孔径雷达干涉条纹的获取，通过两幅单视复图像进行配准，获取干涉相位(Multi-baseline interferometric synthetic aperture radar interferometry fringes of the acquisition, through two single look complex image registration, access to intervention phase)

研华PCI-1711数据采集卡 AD转换VC++例程(Advantech PCI-1711 data acquisition card AD conversion VC++ Routines)

两个l1准则下的噪声干扰信号压缩感知重构举例，两个例子的稀疏矩阵均为DCT矩阵，而观测矩阵分别采用单位阵和随机矩阵，有详细的步骤和使用方法，适用于初步的学习压缩感知方法。(This programme supply two examples by Compressed sensing with l1 norm. The sparse matrix of two examples are all DCT matrix and the obsever matrix are unit matrix and random matrix respectively. We give the detailed usage and steps for the programme which is useful to the beginner.)

离散分数阶傅立叶变换，算法参考 C. Candan, M.A. Kutay, and H.M. Ozaktas. The discrete Fractional Fourier Transform. IEEE Trans. Sig. Proc., 48:1329--1337, 2000 (Discrete fractional Fourier transform algorithm reference C. Candan, MA Kutay, and HM Ozaktas. The discrete Fractional Fourier Transform. IEEE Trans. Sig. Proc., 48:1329- 1337, 2000)