accord-kmeans-demo

cholesky算法信号稀疏解 对于数据压缩有很大帮助(we are the world we are the children we are the ones)

一套使用全变分方法进行图像去噪处理的图像源代码(MATLAB),算法结果性能优良,适用范围广泛.(Use a variational method for image denoising images deal with the source code (MATLAB), the results of algorithm performance, the broad scope of application.)

极坐标和平面坐标的转换，在图像处理中可以很好解决在一个坐标下不能解决的问题。(Polar coordinates and plane coordinates conversion, in image processing can be solved in a coordinate system can not solve the problem.)

mean shift功能演示，实现图像分割，具体请看效果(the demonstration of the mean shift algorithm)

移动窗口算法平滑光谱矩阵，用于近红外等光谱数据的预处理(Moving window spectral matrix smoothing algorithm for near-infrared spectral data, such as the pretreatment)

线性非局部均值滤波器用于图像处理中的去除噪声平滑图像，能够较好的保持图像的边缘(Linear non-local mean filter for image processing to remove noise smoothing of images, to better maintain the image edge)

图片压缩机源码程序,例程结合易语言第三方支持库云外归鸟的图像处理支持库，可以实现手机图片的专用压缩。(Image Compressor source programs, routines combined with easy language support library of third-party cloud of birds outside support image processing library, you can achieve cell phone pictures of special compression.)

图像的平滑函数，对指定区域的图像，并有门限值和魔板大小限制。(the smooth of a bmp image)

图像的预处理程序，包括边缘去噪、二值化、腐蚀等。为车牌定位作铺垫(image preprocessing procedures, including marginal denoising, the two values, and corrosion. To pave the way for positioning plates)

泊松融合在某种意义上解决了图像融合的问题，但其在融合的过程中仅仅考虑了融入图像的梯度，而没有利用背景图像的梯度，因此，在使用泊松融合的过程中，需要对融入区域的标记较为准确，否则，会造成背景纹理的丢失，视觉上可以明显觉察图像融入的痕迹。因此，对公式稍作修改，在考虑前景的同时考虑背景的变化，可以得到更优的结果。(Poisson convergence in a sense solved the problem of image fusion, but it only considers the integration of image gradient in the integration process, but not the use of a background image gradient, therefore, the use of the Poisson integration process, the need for more accurate marker into the area, otherwise, it will result in the loss of background texture, image integration can clearly perceive the visual traces. Therefore, the formula slightly modified, in considering the prospect of taking into account the changes in the background, you can get better results.)