anisodiffusion

SCPI语言及微机控制测量仪器编程,主要介绍scpi一些具体命令，说明及其实现。(SCPI language programming and computer controlled measuring instruments)

图像处理技术边缘检测源码Source image processing edge detection(Image processing edge detection source Source image processing edge detection)

克里金插值的3D算法，forrtran源代码。 可直接使用。 (Kriging 3D algorithm, forrtran the source code. Can be used directly.)

对矩形件的排样过程进行编码实现，通过visual c++(layout problem)

说明：  该gui函数基本上包括图像处理里面的最基本处理，相当于一个小型photoshop。比如读取文件，几何变换中的垂直镜像，平移，旋转，缩放；正交变换的DFT，FFT，DCT，DST，DHT，DWashT；灰度处理中的反色，直方图均衡，全局线性变换，分段线性变换，指数非线性变换，对数非线性变换；图像增强里面的加噪声，平滑，锐化，伪彩色增强；图像分割里面的灰度阈值法，Robert，Laplace，sobel，prewitt，canny算子边缘检测法；图像恢复里面的直接逆滤波，维纳滤波；图像编码里面的霍夫曼编码，行程编码等等(Basically, the gui functions including the most basic image processing inside the handle, which is equivalent to a small photoshop. For example, read the document, the geometric transformation of the vertical mirroring, shifting, rotating, zooming orthogonal transformation of the DFT, FFT, DCT, DST, DHT, DWashT anti-gray color processing, histogram equalization, global linear transformation , piecewise linear transformation, index of non-linear transform of the number of non-linear transformation image enhancement which increases the noise, smoothing, sharpening, pseudo-color enhancement the gray-scale image segmentation inside the threshold, Robert, Laplace, sobel, prewitt, canny edge detection operator method image restoration inside direct inverse filtering, Wiener filtering image coding inside the Huffman code, and so on Run-Length Coding)

说明：  图像的灰度图，和计算梯度的matlab代码实现(Grayscale image, and computing gradient)

此程序为用于jpeg2000中的小波零树压缩编码，它采用了小波零树编码原理，利用了小波系数之间的关系(this procedure for the jpeg2000 EZW coding, It uses wavelet zerotree coding theory, the use of wavelet coefficients of the relationship between)

说明：  对于双基地SAR，使用BP算法进行成像，展示场景、回波信号、距离压缩后以及最后成像的图像。(For Bistatic SAR, BP algorithm is used to image the scene, echo signal, range compression and the final image.)

CIE色度图, CIE 1931 RGB, CIE 1931 XYZ, CIE 1931 xyY(CIE chromaticity diagram, CIE 1931 RGB, CIE 1931 XYZ, CIE 1931 xyY)

：近距离目标超高分辨率微波成像技术在安全检测、非破坏性控制、生物医学等领域中有着非常重要的应用 价值和广阔的应用前景。该文利用基于窄脉冲形式的超宽带时域雷达系统研究近距离目标的高分辨率ISAR成像， 给出了仿真和实测结果。利用转台旋转目标，基于超宽带脉冲源和超宽带收发天线以及高性能取样示波器，配以同 步触发脉冲和自行研发的数据采集软件，搭建了该时域雷达实验系统，提出了准确获取目标回波信息的实验条件， 和实现回波延时精确校正的误差补偿方法。并针对采样时间窗内的杂波干扰，讨论了时域后向投影算法(Back Projection，BP)与背景对消技术相结合的成像算法，实现了分辨率为 8 mm 的近距离目标的成像，准确地反映了 目标的位置、形状和大小等信息。( The high resolution imaging of near field targets are interesting for security, non-destructive control and biomedical application. In this paper, high resolution near field ISAR imaging is implemented using Ultra Wide Band (UWB) time domain radar system. Simulation and experiment are both conducted. The target is rotated by turntable. The system is built based on the UWB pulse source, UWB antennas, high performance sampling oscillograph, synchronous trigger pulse and proper motion study data acquisition software. Experiment condition and delay errors compensation method are presented to obtain accurate echo information of the target. And Back Projection (BP) combined with background cancel algorithm is discussed considering the clutter interference in time window. )