cg-descent

该类计算图像的主分量,特征值,特征向量,并且使用主分量重构.(The main components of such calculation of the image, feature values, feature vectors, and the use of principal component reconstruction.)

说明：  ① 打开图片文件； ② 实现图像的放大、缩小功能； ③ 实现图像的黑白处理。 (black setting open file)

DELPHI编写灰度直方图显示，DELPHI编写灰度直方图显示(DELPHI Writing gray histogram display, DELPHI written grayscale histogram display)

硕士学位论文:在高分辨率成像声纳系统和回波测深仪的两个控制平台的基础上对声纳图像数据的高速显示技术的研究。文中所有的程序编写都是使用C和C++语言，在WindowsXP平台下利用VC++6．0进行编译和调试的。(study for high speed display technology on sonar image data)

基于小波变换的图像分割算法，它实现了论文 Wavelet Based Bimodal Image Segmentation for Blob Exctraction... 的算法。(This code is a part of work Wavelet Based Bimodal Image Segmentation for Blob Exctraction... .)

一个去水印的程序，已调好。里边包含实例图片，可以帮助大家理解这个代码。(A program to watermark has a good tune. Inside contains examples of pictures that can help us to understand the code.)

说明：  实现直接序列扩频水印的嵌入与提取。基于待嵌入消息生成二进制水印序列,生成扩频码，用消息序列调制生成水印序列。依次处理灰度图像的每一个载体图像像素，根据相应位置 水印序列完成嵌入修改。(Realize the embedding and extraction of direct sequence spread spectrum watermark. The binary watermark sequence is generated based on the message to be embedded, the spread spectrum code is generated, and the watermark sequence is generated by message sequence modulation. Each carrier image pixel of gray image is processed in turn, and the embedding modification is completed according to the corresponding position watermark sequence.)

能进行基于Arnold算法的正变换和反变换(Arnold-based algorithm to the transformation and anti-transform)

说明：  小波分析增强滤波。小波变换的原理类似傅里叶变换，只是把三角函数基换成了小波基。与傅里叶变换不同，小波变换有两个变量：scale和translation。scale控制小波函数的收缩，其导数即为频率，translation控制小标函数的平移，平移量对应时间。通过信号的伸缩平移，可以得到某种重合情况，这样积分也会得到一个极大值，不同的是，得到频率成分的同时，还可以知道该频率的时间位置。(Wavelet analysis enhances filtering.The wavelet transform works like the Fourier transform, except that the trigonometric basis is replaced by a wavelet basis. Unlike the Fourier transform, the wavelet transform has two variables: scale and Translation. Scale controls the contraction of the wavelet function, its derivative is frequency, translation controls the translation of the small scale function, and the translation corresponds to the time. By stretching and shifting the signal, you can get some kind of coincidence, so that the integral will also get a maximum, but the difference is that when you get the frequency component, you can also know the time position of that frequency.)

用PYQT进行GUI的详细资料，可以对照参考。。。。。。(The detailed information of GUI with PYQT can be compared to reference. The detailed information of GUI with PYQT can be compared to reference.)