watermark

多边形填充 多边形裁剪 自定义多边形区域 自定义裁剪区域(Polygon fill polygon clipping custom polygon area custom crop area)

说明：  本部分源码是处理静态图像时候，需要的一部分代码，希望对于那些正在研究图像处理技术的朋友有用。(This section is the source when dealing with a static image, the need for part of the code, I hope for those who are studying image processing technology useful friends.)

W.T.Freeman 经典 基于例子的超分辨率重构matlab源码，图片自己可加，经测试可用(WTFreeman classic example of super-resolution reconstruction based on matlab source code, images themselves can be added, the test can be used)

生成一个Gabor Patch的图形，可以调整图形尺寸、相位、旋转角度、对比度等各种参数，在基于PsychToolbox的实验程序编程中非常实用，可用作视觉刺激图形(Generate a Gabor patch, parameters like size, phase, angle and contrast are modifiable, useful in PsychToolbox programming, can be used as visual stimuli)

能够计算傅里叶描述子，并对图像进行重构，实现对目标图像和源图像的辨认(Fourier descriptors can be calculated, and the image reconstruction, image and the source image to target identification)

This extracts features images, that can be used to detect humans and objects.

1、对观测数据进行中心化，； 2、使它的均值为0，对数据进行白化—>Z； 3、选择需要估计的分量的个数m，设置迭代次数p<-1 4、选择一个初始权矢量（随机的W，使其维数为Z的行向量个数）； 5、利用迭代W(i,p)=mean(z(i,:).*(tanh((temp) *z)))-(mean(1-(tanh((temp)) *z).^2)).*temp(i,1)来学习W （这个公式是用来逼近负熵的） 6、用对称正交法处理下W 7、归一化W(:,p)=W(:,p)/norm(W(:,p)) 8、若W不收敛，返回第5步 9、令p=p+1，若p小于等于m,返回第4步 剩下的应该都能看懂了 基本就是基于负熵最大的快速独立分量分析算法(1, on the center of the observation data, 2, making a mean of 0, the data to whitening-> Z 3, select the number of components to be estimated m, setting the number of iterations p < -1 4, select an initial weight vector (random W, so that the Z dimension of the row vectors of numbers) 5, the use of iteration W (i, p) = mean (z (i, :).* (tanh ((temp) ' * z)))- (mean (1- (tanh ((temp)) ' * z). ^ 2)).* temp (i, 1) to learn W (This formula is used to approximate the negative entropy) 6 with symmetric orthogonal treatments W 7, normalized W (:, p) = W (:, p)/norm (W (:, p)) 8, if W does not converge, return to step 5 9 , so that p = p+1, if p less than or equal m, return to step 4 should be able to read the rest of the basic is based on negative entropy of the largest fast independent component analysis algorithm)

用matlab编写的实现椭圆检测的程序，自己稍微改下就可以(using Matlab prepared by the realization ellipse detection procedures, their own little can be changed under)

九点标定halcon 代码，纯halcon代码未转换成其他语言(Marking machine image recognition Halcon code)

基于DCT方法的数字水印论文5篇，对学习基于DCT方法的数字水印初学者会有帮助。可以了解基于DCT的水印基本方法。(DCT-based method of digital watermarking papers 5, to learn methods of digital watermarking-based DCT would be helpful for beginners. DCT-based watermark can learn the basic method.)