Lab7_1

计算机视觉与应用，详细介绍图像，计算机视觉理论(application of computer vision, detailed image, computer vision theory)

孔径雷达图像固有的相干斑噪声严重降低了图像的可解译程度，影响了后续目标检测、分类和识别 等应用。因此，SAR图像的相干斑抑制问题一直是SAR图像应用的重要课题之一。一个理想的去斑算法应该在平 滑的同时保持图像的边缘等细节不受损失，目前存在各种各样的算法，但没有一种方法能够完美的满足这一要求。 本文对SAR图像的相干斑抑制问题进行了全面系统的研究，分析了相干斑的形成原因，总结了目前存在的相干斑 抑制算法的主要思路，介绍了具有代表性的算法，并对各种算法的性能进行了定性分析和比较，给出了去斑算法定 量评估方法(The inherent speckle noise of the aperture radar image seriously reduces the degree of interpretation of the image, and affects the detection, classification and recognition of the subsequent targets. And other applications. Therefore, the problem of speckle suppression in SAR images has been one of the most important topics in the application of SAR images. An ideal speckle algorithm should be flat At the same time, the details such as edges of images are not lost. There are various algorithms at present, but none of them can satisfy this requirement perfectly.)

说明：  求图像峰值信噪比PSNR代码，相信对你很有用(PSNR PSNR for the image code, I believe that is useful to you)

说明：  计算图像对应的各阶原点矩，中心矩，以及Hu不变量,输入是图像和矩的阶数。(Image raw，Central，and Hu s moments computation)

visual c++ 工具 c语言 实现的灰度共生矩阵。(visual c++ tool c language GLCM.)

最小二乘匹配，图像匹配算法，需要初始匹配坐标，可以达到亚像素精度(least squares matching, image matching algorithm, the initial need to match coordinates, can reach sub-pixel accuracy)

大牛人的图象恢复代码．全变分离散化的方法．经典中的经典．(Daniudi people to restore the image code. BCH-wide variable separation method. Classic classic.)

三维重构的程序，包括角点检测，匹配，F矩阵的计算等(Three-dimensional reconstruction procedures, including corner detection, matching, F matrix calculation)

visualc++6.0 实现图像中圆的检测(circle detection)

二维码扶正,对不同光照图片都有较好结果，涉及几种不同的二值化方法，采用霍夫检测直线和双线性变换扶正二维码，内含的7张图片都能扶正(Two-dimensional code righting, have a better picture of the different light result, involving several different binarization method using Hough transform to detect linear and bilinear righting two-dimensional code, embedded image 7 can be righting)