phasecorrelation

针对同一场景可见光与红外图像的融合问题,提出了一种新的多尺度对比度塔图像融合方法. 该方法 利用对比度金字塔数据结构得到图像的多分辨序列,采用基于视觉特性的融合算子在图像的相应各级上融 合源图像的细节,再通过金字塔逆变换重构出最终融合图像. 这种图像处理方法具自适应性,不随各自输入 图像的灰度特性而改变,同时增强了融合图像的对比度,产生了较好的视觉处理效果.(for the same scene of visible and infrared images of integration, proposed a new multi-scale tower contrast images. The use of contrast pyramid data structure Image multiresolution sequence, based on visual characteristics of the integration operator of the image corresponding levels of integration details of the source image, through the inverse pyramid transform eventually fused images. This image processing method has adaptability without their input image with the gray characteristics change, while enhancing the integration of the contrast of the image. have a better visual effect.)

冈萨雷斯数字图像处理第二版中的tofloat函数，原书配带的函数式p文件，此处已经转为M文件。(Gonzalez Digital Image Processing Second Edition tofloat function, a function of the original book equipped with p-type documents, here has been converted to M-file.)

说明：  动态图层生成的例子，生成动态图层，动态目标移动(no)

针对红外图像特别是红外弱小目标的特点，提出一种基于双平台的直方图均衡算法。(The characteristics of the infared dim-small targets iamge was analyzed.A new contrast enhancement algorithm was presented based on double plateaus histogram equalization)

感兴趣区域提取,已通过实验证其可行性以及实用性(region of interest detect )

求图像在hsv颜色空间下三个通道的颜色矩(colormoment in hsv colorspace)

图像纹理特征提取在图像处理中有着非常重要的作用，这个是提取图像纹理特征的程序！(Image texture feature extraction in image processing has a very important role, this is the image texture feature extraction procedure!)

各种非监督分类遥感算法的IDL代码，包括K均值，ISO聚类(Remote sensing of various non-supervised classification algorithms IDL code, including K-means, ISO clustering)

图像处理包括图像的各种变换、阈值分割、边缘提取、边缘跟踪等等很多处理的源代码,可以正常运行(Image processing includes a variety of transformed image threshold segmentation, edge detection, edge tracking and so many of the source code, you can normally run)

基于相似度的图像质量评价算法Structural SIMilarity (SSIM) index的实现。(This is an implementation of the algorithm for calculating the Structural SIMilarity (SSIM) index between two images. Please refer to the following paper: Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: From error visibility to structural similarity" IEEE Transactios on Image Processing, vol. 13, no. 4, pp.600-612, )