k-means-for-image-segmentation

从原始图像产生噪声图像，使用db1执行2层小波，使用wpbmpen进行全阈值选择，采用硬阈值和软阈值处理方式,保存低频,进行图像降噪，并绘制各分解系数图像。(Generated noise image from the original image, using db1 wavelet perform two layers using wpbmpen full-threshold selection, using hard threshold and soft threshold approach, saving low frequency, image noise reduction, and draw the decomposition coefficients images.)

该数字图像处理文件有很强的修改能力，可以仔细的分析每一个频域不同条件下的实验结果分析。有很强的处理图像能力(The digital image processing of documents has a strong ability to change and be more careful analysis of each under different conditions, a frequency-domain analysis of the experimental results. Has a strong ability to deal with images)

Matlab软件应用图形图像处理函数与c语言联合编程(Matlab software application graphics image processing function and c language programming combined )

gmmreg图像配准算法源程序，里面用到了TPS算法，并附有例子。(gmmreg image registration algorithm source code and two demos, which used the TPS algorithm.)

用小波变换进行图像增强，先对原始图像进行非下采样的小波分解，在对每一层的高频分解系数进行处理，得到变换后的小波系数，再进行小波重构。(Image enhancement using wavelet transform, the original image and non-sampling wavelet decomposition in the high frequency decomposition coefficients of each layer, get the wavelet coefficients after the transformation, then the wavelet reconstruction. )

sift角点检测及匹配，在不同尺度空间下的角点检测方法，很方便实用。(sift corner detection and matching, the corner detection methods under different scales of space, it is convenient and practical.)

运动估计的几种方法，包括线性预测法、混合高斯法、特征值法和相邻帧差法等(Several motion estimation methods, including linear prediction method, mixed-Gaussian law, Eigenvalue and adjacent frames, such as poor law)

一种比较新颖的方法，通过对以往提出几种核估计方法的融合，建立新核，达到更好的图像恢复效果(A relatively new method, proposed in the past by the nuclear fusion of several estimation methods, the establishment of new nuclear, to achieve better image restoration effect)

M-s中的CV方法( CV)

说明：  针对一维最大类间方差算法(1-Otsu)抗噪性能较低、二维最大类间方差算法(2-Otsu)计算复杂度高、实时性差的问题,提出一种基于改进的萤火虫算法(FA)优化二维Otsu图像分割算法(FA-2-Otsu).(In order to solve the problems of low anti noise performance of 1-otsu, high computational complexity and poor real-time performance of 2-otsu, an improved firefly algorithm (FA) is proposed to optimize the 2-otsu image segmentation algorithm (fa-2-otsu).)