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该源代码是采用gui界面的多种图像融合算法的集合，融合后会产生清楚的图像,并比较融合质量(Gui interface using a variety of collection of image fusion algorithm)

说明：  指纹图像预处理、特征提取、特征匹配的matlab程序及处理结果(Fingerprint image preprocessing, feature extraction, feature matching matlab program and processing results)

指纹图像处理包括梯度处理、方向场处理、平滑处理、智能增强处理等(The fingerprint image processing including gradient processing, direction field processing, smooth processing and intelligent enhancement processing, etc)

压缩感知理论稀疏分解工具箱 内附详细的工具箱使用说明及其大量的例程(Compressed sensing theory of sparse decomposition toolbox toolbox included detailed instructions and a large number of routines)

边界跟踪程序，可以跟踪闭合的边界和非闭合的边界。读者可以根据自己需要存储其跟踪方向以及跟踪路径。(Boundary tracking program, you can track the closed borders and the non-closed borders. Readers can track the direction of their own need to store and track the path.)

卡尔曼滤波的一个典型实例是从一组有限的，包含噪声的，对物体位置的观察序列（可能有偏差）预测出物体的位置的坐标及速度。在很多工程应用(如雷达、计算机视觉)中都可以找到它的身影。同时，卡尔曼滤波也是控制理论以及控制系统工程中的一个重要课题。(A typical example of the Kalman filter, from a limited set, containing the noise, the position of the object observed sequence (there may be deviation) to predict the coordinates of the location and speed of the object. Its presence can be found in many engineering applications (such as radar, computer vision). Meanwhile, the Kalman filter is control theory, and control is an important topic in systems engineering.)

rice大学CHOI写的一个关于小波域HMT模型的图像去噪算法。算法比较经典。对研究HMT模型的同行有很大参考价值。(rice university CHOI written on wavelet-domain HMT model for image denoising algorithm. Comparison of the classical algorithm. HMT model of research has great reference value counterparts.)

说明：  基于纹理度量的图像分割，适用于遥感图像，主要利用到K-mean算法。(Image segmentation based on texture measurement for remote sensing image, the main advantage of K-mean algorithm.)

指纹识别的MATLAB程序，包含了特征点抽取，特征点匹配，识别。(Fingerprint of the MATLAB program, including the feature point extraction, feature point matching, identification)

说明：  小波变换是图像的多尺度、多分辨率分解，它可以聚焦到图像的任意细节，被称为数学上的显微镜。近年来，随着小波理论及其应用的发展，已将小波多分辨率分解用于像素级图像融合。把两个正交偏振的图片融合(Wavelet transform is the multi-scale and multi-resolution decomposition of an image. It can focus on any detail of the image and is called the mathematical microscope.In recent years, with the development of wavelet theory and its applications, wavelet multi-resolution decomposition has been applied to pixel-level image fusion)