noise

小波处理，滤波，复原，融合等VC源代码.(Wavelet processing, filtering, recovery, integration VC source code.)

自己用python复现的NL-mean去噪，备注比较详细，便于理解原理； 之后会尝试复现更多图像领域的经典论文(The NL-mean reproduced by Python is used to denoise the noise. The notes are detailed and easy to understand the principle. We will try to reproduce more classical papers in the field of image.)

对图像进行平滑去噪，提高图像的质量，为后期的图像处理打基础(very good)

说明：  基于灰度矩的亚像素边缘检测，零件边缘提取(Subpixel edge contour extraction)

这个是图像处理中的hough变换的C++源代码，工需要的同学参考学习。(This is the image processing hough transform C++ source code, engineering students need to learn.)

卡尔曼滤波是一种高效率的递归滤波器(自回归滤波器), 它能够从一系列的不完全及包含噪声的测量中，估计动态系统的状态。(Calman filtering is an efficient recursive filter (autoregressive filter). It can estimate the state of dynamic system from a series of incomplete and noisy measurements.)

对立体视觉的双目图像进行极线校正，以实现双目致密匹配(Of three-dimensional visual image of the binocular epipolar rectification to realize dense binocular matching)

对lagrange函数公式进行代码化，可以对一组数进行插值算法，可以输出最后的y值(The lagrange function formula code, a number of groups interpolation algorithm, you can output the final value of y)

该源程序可以实现BMP图片的压缩(BMP pictures)

使用经典边缘检测算子进行边缘检测，加入噪声的图像边缘检测结果和未加噪声的图像检测结果进行对比分析，默认阈值设置的图像检测结果和手动设置阈值的图像检测结果进行对比(Edge detection using classical edge detection operator)