kmeans--FCM-SOM

MRI 读入k空间数据调整中心并进行傅里叶变换显示图像(MRI k-space data is read into the center and adjust the display image Fourier transform)

图像检测的算法，Faster R-CNN算法，先对整张图像进行卷积计算，然后通过感兴趣区域池化层(RoI Pooling Layer)将选择性搜索算法推荐出来的候选区域和卷积网络计算出的特征映射图进行融合，得到候选区域对应的特征矢量，这种共享卷积计算的操作极大地减少了卷积计算的次数。而且这些特征矢量的维度统一，方便后续的分类工作。通过感兴趣区域池化层处理卷积特征，并将得到的特征送往两个并行计算任务进行训练，分类和定位回归。通过这些方法和改进的框架，Fast R-CNN 用更短的训练和测试时长，取得了比 R-CNN 更好的效果(Faster R-CNN algorithm first convolutes the whole image, then fuses the candidate regions recommended by the selective search algorithm and the feature mapping maps calculated by the convolution network through the RoI Pooling Layer to get the corresponding feature vectors of the candidate regions, which greatly reduces the number of convolution calculations. Moreover, the dimension of these feature vectors is unified, which facilitates the subsequent classification work. The convolution feature is processed by the pooling layer of the region of interest, and the obtained feature is sent to two parallel computing tasks for training, classification and positioning regression. Through these methods and improved framework, Fast R-CNN uses shorter training and testing time and achieves better results than R-CNN.)

说明：  Jsteg_Mu可批量对JPEG图像进行Jsteg隐写。 Jpeg_Or 为jpeg密写的原始图像的文件夹， Jpeg_Di 为jpeg密写后密写了的图像的文件夹,code_file 为密写的文件,rate 为密写嵌入率.(Jsteg_Mu JPEG images can be batch Jsteg on steganography. Jpeg_Or jpeg steganography for the original image folder, Jpeg_Di as jpeg steganography written after the close of the images folder, code_file written document for the dense, rate for the steganography embedding rate.)

该程序是对原图像进行梯度加掩模的三次分水岭分割(That the procedure was in the original image mask plus three gradient watershed segmentation)

图片文字 合成实例

说明：  这个程序是用最小二乘法进行解包裹的程序，希望有用(least square unwrapping program)

说明：  采用霍夫曼技术实现压缩图像的重建，代码很详细，很不错。(Using Hoffman technology to achieve compressed image reconstruction, the code is very detailed, very good.)

％基于DCT的水印算法 ％数字水印处理系统主要由水印嵌入和水印检测两个过程。 ％水印嵌入过程为：数字水印（X）、原图像（I）和密钥/公钥（K）通过数字水印嵌入算法形成嵌入水印后的图像（I*）。 ％水印检测过程为：数字水印（X）、水印图像（I*）和密钥/公钥（K）通过数字水印检测算法检测出数字水印或有无水印。 ％基于DCT变换的水印算法：将一个随机序列作为水印信号嵌入到图像DCT变换重要分量的幅度成分中（幅值较大的n个系数作为重要分量）。 ％定义一个相似函数来检验水印提取是否成功。试验结果表明，该算法具有不可见性，对通常的图像处理，如剪切、缩放、中值滤波、压缩等 ％以及噪声干扰都具有一定的鲁棒性。(err)

说明：  使用python语言实现多张图像的拼接，并且处理拼接之后的裂缝和黑边。(Use python language to achieve splicing of multiple images, and deal with cracks and black edges after splicing.)

基于颜色来检测火焰，将是频频分帧，然后逐帧检测，碧昂切将火焰全画出来，基础编程。(Based on color to test the flame, basic programming )