kalmanV

用C语言实现最优化算法中的黄金分割法！！(optimization algorithm using c)

说明：  MATLAB转化大地坐标与球坐标之间的转化，，其中包含了空间直角坐标系与大地坐标系的转化(Matlab transformation of geodetic and spherical coordinates)

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)

用C++编写的实现GVF的活动轮廓模型的提取，值得你参考(Extracted with implementations written in C++ GVF active contour models, it is worth your reference)

说明：  基于DCT域的图像数字水印技术，水印嵌入过程，提取过程，以及嵌入水印的抗干扰性等。(Based on the DCT domain image digital watermark technology, watermark embedding process, extraction process, as well as embedded watermark anti-interference and so on.)

图像增强利用直方图均衡来达到增强图像对比度的目的，从而来实现增强图像的效果(Image enhancement using histogram equalization to achieve the purpose of enhancing image contrast and thus to realize the effect of enhanced images)

说明：  通过利用“Otsu”方法对图像进行全局阈值分割处理。然后，将灰度图转化成二值图，为获得大豆颗粒计数和大小做准备。调用函数获得图像连通图的数量，并测量标注矩阵中每个标注区域的属性，获得每个标注区域的长度。最后通过寻找每个区域的重心数，即可统计出大豆的个数(The Otsu method is used to segment the image. Then, the gray-scale image is transformed into a binary image to prepare for the soybean particle count and size. Call the function to get the number of connected graphs, measure the attributes of each annotation region in the annotation matrix, and get the length of each annotation region. Finally, the number of soybean can be calculated by finding the number of barycenters in each region)

文献 "Deblurring Text Images via L0-Regularized Intensity and Gradient Prior" 的参考代码 用Lp正则化方法做盲复原的代码 demo_text_deblurring 是主函数(refer to "Deblurring Text Images via L0-Regularized Intensity and Gradient Prior" main function: demo_text_deblurring)

数字图像处理第三版，中文版，PDF文档，还算清晰(Chinese version of digital image processing)

比较好的东西，留着待用，可用于水质检测的测量参考~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~(Good stuff, keep aside ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~)