用模糊C均值算法实现图像分割 fcm

详细介绍了matlab下的曲线和曲面拟合，并有一份word的原理说明，介绍的很详细，可供参考和实际运用(Described in detail under the matlab curve and surface fitting, and a word there is the principle that the very detailed introduction is available for reference and practical use of)

说明：  基于fft的数字图像处理MATLAB实现(Fft based on MATLAB for digital image processing to achieve)

说明：  matlab编写的共轭梯度法，用来解决非线性优化问题(matlab prepared by the conjugate gradient method is used to solve nonlinear optimization problems)

多边形填充 多边形裁剪 自定义多边形区域 自定义裁剪区域(Polygon fill polygon clipping custom polygon area custom crop area)

将一副图像进行rgb分离，并将R G B 的各个分量显示出来。(the sepration of rgb and show the sepration )

计算进口边界条件为超音和亚音条件下，气流流经凸包时的二维流动状况(program for calculate air flows through the convex hullto in the import boundary conditions of supernic and subsonic)

建立了混合高斯模型，可以对静止背景下运动目标进行检测。(Gaussian mixture model is established, you can still detect moving target in the background.)

SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。[1] 该方法于1999年由David Lowe[2] 首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004年再次经David Lowe整理完善后发表于International journal of computer vision（IJCV）。截止2014年8月，该论文单篇被引次数达25000余次。(SIFT, namely Scale Invariant Feature Transform (Scale-invariant feature transform, SIFT), it is a description for image processing. This description has scale invariance, can detect critical point in the image, it is a local feature descriptor. [1] The method in 1999 by David Lowe [2] First published in the International Conference on Computer Vision (International Conference on Computer Vision, ICCV), 2004 was again perfect finishing after David Lowe published in the International journal of computer vision (IJCV) . As of August 2014, the paper cited the number of times a single article of more than 25,000 times.)

说明：  基于相位梯度法PGA的 Matlab 估计相位误差 估计多普勒中心(Estimation of Phase Error and Doppler Center by PGA MATLAB)

实现基于卡尔曼滤波器的多目标跟踪，可进行相关了解与研究(object tracking based on kalman)