adpmedian

matlab编写的对二值图像的数字水印添加与提取程序。压缩包中有示例图片。可以添加水印，结果肉眼不易分辨出变化，不影响使用。可加入信息长度达100个字节。提取时可验证是否被修改过，如未修改，可提取隐藏信息。当有修改发生时，可以定位修改的位置，并在图上标出。标识面积占修改面积的75％，一般修改都能标出(matlab prepared binary image of the digital watermark added and extraction procedures. Compression package has sample images. Can add watermarks, the results of the changes are not easily distinguishable from the naked eye, does not affect use. Can be added to the information length of 100 bytes. Verifiable extraction has been modified, if modified, can extract hidden information. When a modification occurs, you can modify the location of positioning and marked maps. Logo area accounted for 75 to amend the area generally can be identified modifications)

图片边缘检测滤镜，浮雕， 反选色去色黑白化多功能代码

利用已有真实场景色彩图片转换为灰度图像，实现SAR成像处理，(Use of existing real scene color images converted to grayscale images, the SAR imaging processing)

说明：  GS算法，图像经过多次傅里叶变换，最后提取图像的相位信息，加载空间光调制器，观察图像。(GS algorithm, the image after several Fourier transform, and finally extract the phase information of the image, loading the spatial light modulator, the observed image.)

说明：  火灾预警系统，实现火焰的特征提取，结合SVM分类算法(Fire early warning system, to achieve the feature extraction of flame, combined with SVM classification algorithm)

算法程序可以求解带时间窗的车辆路径问题，期望大家上传的都是有说明的可以使用的程序(the program for the vehicle routing problem with time windows)

一些dwt数字水印 源码和一些资料希望对大家有用 呵呵(dwt digital watermarking)

说明：  包含主要的相位恢复算法，用于解决相位恢复问题，在计算光学成像领域被广泛使用。(This code includes conventional phase retrieval algorithms designed for phase retrieval problems, which is widely used in computational optical imaging.)

图像处理的偏微分方程方法，包括曲线演化，图像分割，图像滤波，图像复原等的matlab源代码。(Partial differential equations of image processing methods, including curve evolution, image segmentation, image filtering, image restoration, etc. matlab source code.)

针对可见光与红外图像的特点和难点，提出了可见光与红外图像配准与融合中的关键技术，即: 使用新型的基于一维最大类间方差和最大连通性测量的图像分割方法对源图像进行分割来更好地实行图像粗 配准 使用新型的特征点提取方法，特征点的匹配及误匹配的消除来更好地实行图像精配准 采用新型的基 于区域的树状小波活性测度计算来实现树状小波图像融合 利用自生成神经网络来实现模栩图像融合. (For visible light and infrared images of the characteristics and difficulties, a visual and infrared image registration and integration of key technologies, namely: the use of new one-dimensional based on the largest variance between-class connectivity and the largest measuring method of image segmentation source image segmentation to better implementation of coarse image registration the use of a new type of feature point extraction method, feature points of the match and the elimination of false matches to better the implementation of image fine registration the use of new tree-based wavelet calculated to measure the achievement of the activity tree wavelet image fusion the use of self-generating neural network to achieve image fusion Xu mode.)