oqtpht-analysis

通过PCA+Retinex对图像进行图像增强处理(Image enhancement processing by PCA+Retinex)

首先将非平稳的故障振动信号进行双树复小波包分解，得 到不同频带的分量；然后对每个分量求其峭度值和相关系数并进行比较；最后选取峭度值和相关系数较大的分量 进行软阈值降噪和双树复小波包重构，即可有效地消除振动信号中噪声的干扰，同时保留信号中的有效信息即实 现了故障特征信息的提取。(In view of the above situation, a new fault diagnosis method is proposed based on dual-tree complex wavelet packet transform and threshold de-noising. Firstly, the non-stationary fault signal is decomposed into several different frequency band components through dual-tree complex wavelet packet decomposition. Secondly, Kurtosis and the cross-correlation coefficient of each component are obtained and compared. Due to the kurtosis reflecting the signal variations, if the kurtosis value is bigger, the degree of the change of signal is bigger too. The correlation coefficient can reflect the proximity between the component and the original signal at the same time, the correlation coefficient is bigger, the more similar with the original signal. Finally, the components that have a bigger value are chosen to be de-noised by a soft threshold and reconstructed by dual-tree complex wavelet packet transform. The noise interference was eliminated effectively, and the effective si)

说明：  SAR图像非局部平均滤波，包括高斯平滑，PSNR检测(SAR image non local average filtering, including Gaussian smoothing, PSNR detection)

VC++ 位图大PK程序，两幅BMP图像比较大小，希望能对大家有所帮助 (VC++ big PK bitmap program, comparing the size of two BMP images, hoping to be helpful)

绘制二维nurbs曲线，可以通过改变控制点或者权重从而改变图形的形状。(Draw a two-dimensional nurbs curve that changes the shape of a shape by changing the control point or weight.)

利用GPU加速的SIFT算法，实现影像匹配，并利用RANSAC进行粗差的剔除(GPU-accelerated use SIFT algorithm to achieve image matching, and use RANSAC removing coarse poor)

波原子变换代码，一种新的类方向小波变换，更好的表示图像(Wave atom transform code, the direction of a new class of wavelet transform, and better representation of the image)

此M文件主要利用区域生长和边缘检测进行图像分割(image segment by region grow )

说明：  实现了一个二维小波分解、重构程序，对一副16*16的数字图像进行了二层小波分解和重构。(A two-dimensional wavelet decomposition and reconstruction program is implemented, and a 16*16 digital image is decomposed and reconstructed by two-level wavelet.)

AForgeNet 是基于.net框架使用C#高级面向对象语言设计开发的专门为开发者和研究者学习和使用的开源图像处理类库，包括计算机视觉与人工智能，图像处理，神经网络，遗传算法，机器学习(AForgeNet is an open source image processing class library designed and developed for developers and researchers based on. net framework using C # advanced object-oriented language. It includes computer vision and artificial intelligence, image processing, neural network, genetic algorithm and machine learning.)