image_retrieval

【实例简介】

本程序采用pca提取人脸特征，采用人工神经网络识别人脸。(This procedure using pca face feature extraction, using artificial neural network recognition face. )

IDL平台环境下，envi温度植被干旱指数计算TVDI(Calculation of envi temperature and Vegetation Drought Index under IDL platform TVDI)

使用全变分模型对受噪声污染的图像进行修复(Using the total variation model of the image affected by noise pollution, to repair)

classic goldstein filter by matlab for interferogram phase noise filtering(classic goldstein filter by matlab)

通过图片的外参数矩阵对图片进行透视变换，对图片的外参数进行校正(camera calibration)

说明：  matlab 立体匹配，包含了多种三维重建中的立体视觉匹配(Matlab stereo matching, including stereo vision matching in many kinds of three-dimensional reconstruction)

多聚焦图像融合代码，主要包含了方差法和最大系数法融合(Multi-focus image fusion code, mainly includes the variance method and the maximum coefficient fusion)

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)

视网膜图像中血管的提取和检测，高斯滤波器模板匹配法提取血管，然后进行血管剔除(Retinal image of blood vessels in the extraction and detection, gaussian filter template matching method to extract the blood vessels, and blood vessels )