correlationmatlabcode

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)

说明：  用最大相似性方法实现独立分量分析算法的matlab代码，可用于盲信号处理和图像滤波器构造。(with the greatest similarity method independent component analysis algorithm Matlab code can be used to blind signal processing and image filter structure.)

用matlab实现散焦模糊图像的参数估计，并运用Lucy法复原图像，效果不错(Using matlab realize defocus blurred image parameter estimation, and the use of Lucy France restored image, good results)

基于分形理论的改进的一种图像分割算法,用matlab语言实现(Based on Fractal Theory An improved image segmentation algorithm)

说明：  图片自适应二值化处理，二值化处理使用简单方便。(Adaptive binarization image processing, binary processing easy to use.)

针对CT 医学图像和MR I 医学图像成像特点, 提出了基于快速整数提升小波变换的融合方法。在CT 和 MR I 两幅医学图像配准的前提下, 利用提升小波变换把图像分解成低频和高频子图像, 对于小波变换后的高频 子图像, 选择区域标准差大的作为融合后的子图像 对于低频子图像, 采用加权融合, 最后进行小波逆变换, 得到 融合后的图像, 并对融合后图像用信息熵、平均梯度、相关系数的指标进行评价。实验结果表明, 基于快速整数提 升小波变换融合中, 小波高低频系数采用不同的规则能够取得更好的融合效果, 其轮廓清晰。该算法能够提升融 合后的医学图像信息量, 同时有效地保护图像的细节信息, 在执行时间和图像质量上均优于普通小波算法。(A imed at the characterist ics of CT andMR Imedical images, a new image fu sion al2 go rithm based on the fast in t lif t ing w avelet t ran sfo rm s is p ropo sed. Two o riginal images are decompo sed by the fast in t lif t ing w avelet t ran sfo rm s. The fu sion ru le based on the max imum standard deviat ion value variance is u sed to fu se the h igh f requency sub2image, w h ile a w eigh t2 ed average fu sed ru le is app lied by coeff icien t s of the low f requency. F inally, the fu sion image is recon st ructed fo r perfo rm ing inverse fast in t lif t ing w avelet t ran sfo rm s. The fu sion image is evaluated by en t ropy, average gradien t, and co rrelat ion coeff icien t s. Experimen tal resu lt show s that the fu sion image hasmo re info rmat ion than o riginal images and imp roves the quali2 ty of o riginal images. M eanw h ile, the fu sion image p ro tect s detail characterist ics of the image, thu s the real2t ime p rocess and image qualit ies are w ell than tha)

Multiclass Spectral Clustering Algorithm，和Dominant-set算法同属于较常用的聚类算法，用于图像分割等(Multiclass Spectral Clustering Algorith m, and Dominant-set algorithm is more commonly used with the clustering algorithm for image segmentation, etc.)

说明：  基于matlab车牌识别系统，主要涉及图像预处理、车牌定位、倾斜角矫正、字符切割、字符识别五个模块(License plate recognition system based on MATLAB.It mainly involves five modules: image preprocessing, license plate location, tilt angle correction, character cutting and character recognition)

针对FCM算法的运行时间长和计算量大的问题，提出了改进的FCM算法，先将图像分割成窗口大小的子块，然后以子块为单位提取特征向量，用FCM聚类粗分割，然后对边缘子块，以像素为单位从新提取特征向量，进行细分割。分割后的结果提高了运行速度和分割精度。(For the FCM algorithm and the calculation of long run the problem of large proposed improved FCM algorithm, first image into blocks the size of the window, and then sub-block feature vector extraction unit, using FCM clustering coarse partition, and then block on the edge, in pixels from the new Feature Extraction, for fine segmentation. Improve the segmentation results after the speed and accuracy of segmentation.)

图像配准，利用互相关的方法进行图像配准，能达到良好效果(Image registration, the use of the cross-correlation method of image registration, and can achieve good results)