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基于FFT的配准程序，用在图像配准中的粗匹配中，对噪声、图像中物体发生运动等极为鲁棒！ (FFT-based registration procedure, used in image registration in the coarse matching, noise, motion and other image objects occur very robust!)

实现了遥感图像可以进行阈值分割和分水岭分割(Threshold segmentation, watershed segmentation)

基于DCT的数字水印抗滤波性能检测matlab代码(DCT-based digital watermarking anti-filtering performance detection matlab code)

说明：  计算图像边缘保护指数EPI，需要原始图像与处理后图像(To calculate the EPI, the original image and the processed image are needed)

在VS2012平台上利用C++语言和opencv实现对图像的分块，并保存分块图像(Using the C++ language and OpenCV to block the image on the VS2012 platform and save the block image)

核聚类算法KFCM源代码，对传统FCM算法的改进(Nuclear clustering algorithm KFCM source code, the traditional FCM Algorithm)

利用16幅高低温图像，计算红外图像中经常用到的两点校正系数。是平时工程中的仿真程序。希望对大家有用。(The use of 16 high and low temperature images, the calculation of infrared images of two frequently used correction factor. Is the usual engineering simulation program. Hope useful for everyone.)

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)

基于地物分类真值的高光谱遥感图像分类精度评价(Accuracy uation of remote sensing image classification)

推荐火灾检测的参考文献，有火焰多个特征提取的算法。(the article is about how to detect fire，using many algorithms to get the features of fire.)