wavelet

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)

采用半隐式方案实现变分水平集图像分割方法(Active contour without edge, image segmentation)

利用Retinex中心环绕算法进行阴影去除，飞常详细并含有程序对应的PPT(Centers around the use of Retinex algorithm to remove the shadow, flying often detailed and contain procedures for the corresponding PPT)

这是图像处理中HSV课件颜色特征提取（将H5等份，S,V分量各三等份）MATLAB源码。(This is the image processing in HSV color feature extraction software (to be H5 equal, S, V component of the third class) MATLAB source.)

高光谱图像在matlab上处理数据波段，并且包括降维功能(Hyperspectral images deal with data bands on MATLAB and include dimensionality reduction functions)

输入两幅大小等已配准相同的图像，计算两幅图像的结构相似度，可以应用于图像各种处理，基于人类视觉，是一个很好的图像相融合质量评价效果(Enter two sizes, etc., have the same image registration, two images to calculate structural similarity, may be applied to a variety of image processing based on human vision, it is a very good image quality uation of the effect of integration)

说明：  灰图像三级小波分解，以lena图像为例。(Gray image 3 wavelet decomposition to lena image as an example.)

数字图像处理和图像识别的vc++编程方法(Digital image processing and image recognition of the vc++ Programming)

改进的 SUSAN 算法，用于自适应阈值的边缘检测(improved algorithm for the adaptive thresholding edge detection)

智能算法实现图像分割，读取一张黑白图片进行阈值分割。(Intelligent algorithms for image segmentation, read a black and white image thresholding.)