背景差分法MATLAB实现

多种图像增强方法，效果都挺好的的。包括dct，灰度变换，直方图均匀化，图像锐化(variety of image enhancement methods, the results are very good. Including Extra, the gray-scale transformation, histogram equalization, image sharpening, etc.)

说明：  通过matlab，可以快速得到图像的特定区域的灰度值，里面也有一些解释(Through MATLAB, we can quickly get the gray value of the specific region of the image, which also has some explanations)

实现LLE算法，本算法是改进的LLE算法，主要是针对人脸图像的。()

图像处理matlab程序的源代码。包括图像的高通滤波和掩模处理，图像的阈值分割等。(MATLAB image )

实现图像配准:线性保角变换，投影变换及仿射变换。(Achieve image registration: linear conformal transformation, projection transformation and affine transformation.)

对于低水平的视觉情况下，加权核规范最小化算法及其应用。(Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision)

说明：  读图然后根据图像的对象，进行边缘检测，椭圆拟合(Read the image and then carry out edge detection and ellipse fitting according to the object of the image)

说明：  为了在抑制噪声时尽可能保留图像边缘信息，提出一种自适应各向异性高斯滤波器设计方法. 该方法由独立 强度传播（IDS）模型决定滤波器的长轴尺度，由像素的邻域平滑度决定长短轴的比例，然后根据该处的灰度梯度方 向自适应决定各向异性滤波器的长轴方向. 仿真实验表明，提出的自适应各向异性滤波器具有很强的噪声抑制和 边缘保持能力. (In order to suppress noise, as far as possible to keep the image edge information, an adaptive anisotropic Gaussian filter design methods. The method by the independent strength spread (IDS) model determines the long axis of the filter scale, the pixel neighborhood smoothness determine the ratio of minor axis, and then there' s gray gradient direction of adaptive decision the long axis of anisotropic filter. Simulation results show that the proposed adaptive anisotropic filter has a strong noise suppression and preserve edges.)

说明：  利用模糊神经网络的方法实现遥感图像的目标识别(The use of fuzzy neural network approach to achieve the goal of remote sensing images to identify)

用matlab实现levelset水平集分割图像！(levelset to fen ge Image ag dag gf a ga ga h agr d we v g)