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程序实现Matlab下爬山法(hill-climbing)方法，用于彩色图像分割。(mage is first converted to CIE lab color space and the 3d color histogram is generated. Hill-climbing algorithm is used to find the local maximums in lab histogram, which is used to automatically decide the cluster number K as well as initial seeds for )

基于小波分解重构的图像去噪程序 请多指教(Based on wavelet decomposition and reconstruction of image denoising program please enlighten)

有关数字图像退化函数的估计与滤波，维纳滤波器实现，运动模糊等(For digital image degradation function estimation and filtering, Wiener filter implementation, motion blur, etc.)

使用KINECT获取深度图像的源码，在vs平台下使用C++编写。(Use KINECT obtain depth image source, written using C++ in vs internet.)

可以对一幅图像提取边缘直方图，很有用的，用与图像匹配(Can extract the edge of an image histogram, useful, and image matching using)

k均值用于图像分割，对于相同颜色但深度不一样可以分割。(k-means for image segmentation, the same color depth can be split.)

基于knn算法的遥感图像分类 源代码 算法测试(Remote sensing image classification based on knn algorithm Source code Algorithm testing)

基于PCL的估算散乱点云的法矢量，并进行颜色渲染显示(estimation of normal vectors for point clouds and color rendering display based on PCL)

Retinex理论的基础理论是物体的颜色是由物体对长波（红色）、中波（绿色）、短波（蓝色）光线的反射能力来决定的，而不是由反射光强度的绝对值来决定的，物体的色彩不受光照非均匀性的影响，具有一致性，即retinex是以色感一致性（颜色恒常性）为基础的。不同于传统的线性、非线性的只能增强图像某一类特征的方法，Retinex可以在动态范围压缩、边缘增强和颜色恒常三个方面打到平衡，因此可以对各种不同类型的图像进行自适应的增强。(The basic theory of Retinex theory is the color of the object by object for the long wavelength (red), medium (green), short wave (blue) light reflection ability to decide, rather than by the intensity of reflected light of the absolute value to decide, the color of the object under illumination nonuniformity effects, consistent with the Retinex, that is based on color constancy (color constancy based). Different from the traditional linear, nonlinear image enhancement method of only one kind of features, Retinex can be in dynamic range compression, edge enhancement and three aspects of color constancy hit the balance, thus enhancing adaptive to a variety of different types of images can be.)

彩色图像纹理合成（基于Efros-Leung算法）（matlab中应用C的接口）(Implement the non-parametric texture synthesis algorithm of Efros-Leung)