calibration

几种插值方法，双线性，三次，最邻近，sinc(Several interpolation, bilinear, cubic, nearest neighbor, sinc)

一个C#使用WebService调用海康SDK实现抓图与录像实时下载的小例子

说明：  雷达模拟LFM脉冲信号，模拟目标回波（目标距离50km，速度100m/s）和噪声信号（信噪比）(Radar simulated LFM pulse signal, simulated target echo (target distance 50km, speed 100M / s) and noise signal (signal-to-noise ratio))

一种快速图像阈值分割法，不是otsu或迭代法，Wellner 1993快速自适应的图像二值化方法，有具体使用方法，很详细(A fast image thresholding segmentation method, not otsu or iterative methods, Wellner 1993 fast adaptive image binarization method)

基于蚁群算法的图像边缘检测，亲测可用，包含四种图像。(Ant colony algorithm based image edge detection, pro test available.It contains four kinds of images.)

说明：  实现多视两幅图像的surf特征点提取与匹配(Achieve surf feature point extraction and matching of two multi-view images)

说明：  SIFT特征点的提取和匹配，SIFT算法首先在尺度空间上进行关键点检测，确定关键点的位置和关键点所处的尺度，然后使用关键点邻域梯度的主方向作为该点的方向特征，最后由关键点邻域梯度信息生成关键点的特征向量(SIFT algorithm firstly detects the key points in the scale space, determines the location of the key points and the scale of the key points, then uses the main direction of the key point neighborhood gradient as the direction feature of the point, and finally generates the feature vector of the key points from the key point neighborhood gradient information)

高斯曲线的拟合可对照学习使用程序比较全面适合电磁波类的人员参考学习(Gaussian curve fitting may be learning to use the control procedures for a more comprehensive type of electromagnetic wave reference study)

首先通过多分辨率分解法提取高频边缘，然后分别对每层的高频边缘进行非线性插值得到新的高频边缘，接着对高频边缘进行高通滤波得到等强后的高频边缘，最后对增强后的高频边缘进行修正。再在对增强的图像进行对比度拉伸，从而达到增强的目的！(First of all, through the extraction of multi-resolution decomposition of high-frequency edge, and then were on the edge of each high-frequency non-linear interpolation to be the new high-frequency edge, and then the edge of the high-frequency high-pass filter to be strong, such as after the high-frequency edge, and finally on the brink of enhanced high-frequency be amended. Again in contrast enhanced image stretching, so as to achieve the purpose of enhancing!)

图像处理中的图像分割grabcut算法，经试验可以达到很高的精确度，比较难，值得研究(Image Processing Image Segmentation grabcut algorithm, the test may be achieving a high degree of accuracy, more difficult, is worth studying)