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基于区域统计的融合规则，内含源码和源图像以及contourlet工具箱，直接出结果(Fusion rule based on regional statistics, containing source code and source images, and contourlet toolbox, directly results from)

C++调试的背景的颜色改为比较对眼睛好看的颜色呢(C++ debugging change the color of the background of relatively good-looking colors for the eyes)

说明：  contourlet纹理特征变化提取，有contourlet的详细分析过程(changes in texture feature extraction contourlet)

直方图增强的，动态频数均衡，用matlab编写(Histogram enhanced, dynamic frequency equalization, using matlab write)

用visual C++开发的图像匹配与处理系统，包括图像处理与图像匹配算法，NCC,梯度强度相关，互信息匹配等(With visual C++ development of image matching and processing systems, including image processing and image matching algorithm, NCC, gradient strength related mutual information matching)

这是一种实现数字图像拼接的surf算法的matlab程序，能够取得不错的效果。(This is a digital image mosaic surf algorithm matlab program, can achieve good results.)

利用八方向的sobel边缘检测，实现对图像多梯度的梯度检测，检测出的边缘信息更加平滑连续。(Eight direction Sobel edge detection is used to realize gradient detection of image multi gradient, and the edge information detected is more smooth and continuous.)

O(n*logn)时间内的求逆序的算法控制台程序，算法实现效率较高。可迅速求出随即生成的数字的逆序数(O (n* logn) time algorithm for reverse console process, algorithm more efficient. Can be generated quickly obtained immediately reverse digit number)

具有可逆性与周期性的Arnold置乱变换，目的是实现对图像的置乱，用于图像加密中(The realization of image scrambling, used in image encryption)

： 对一种基于图像几何重心的特征点提取算法进行了改进 改进后的算法可以提取任何边缘线上凹凸处的特征点 其基本 思想是，首先提取图像的边缘轮廓线，计算封闭边缘线和非封闭边缘线的几何重心 然后以重心为极点，对边缘点极坐标化，形成 幅角-极径曲线，在该曲线上寻找局部极大极小值点 最后根据局部非极大（小）抑制原则对极大（小）值点进行取舍获得特征点 模 拟结果表明算法计算简单 稳定性好 该方法提取的特征点能准确地反映目标的形状，对目标的识别 跟踪以及三维表面重建等都 具有重要的价值(This paper modifiesakindoffeatureextractingalgorithmbasedonimageedge.First， imageedgeoutlineisextracted. Second， geometricgravitycenterofedgeoutlineiscalculated.Third， argument-polarradiuscurveofpolarcoordinatesystemwhose poleisgeometricgravityisformed， andmaximumandminimumvaluepointsaresearched.Atlast， featurepointsareobtainedby selectingmaximum （minimum） valuepointsaccordingtolocalnon-maximum （minimum） depressionprinciple.Theresultindicates thatthealgorithmissimpleanditsstabilityisgood.Itisimportantforobjectrecognitionandthree-dimensionreconstruction.)