前景提取

开发 API人脸检测实例教程，应用程序编程源码，很好的参考资料。(Tutorial examples of the development of API face detection, application programming source code, a good reference.)

python语言，三种阈值分割方式，简单阈值分割，自适应阈值分割，OTsu分割方式(Python language, three methods of image segmentation , simple threshold segmentation, adaptive threshold segmentation, OTsu segmentation)

根据输入的色坐标自动计算出色域,并标注在CIE-1931色度图上.(Automatically calculate based on the input color coordinates of the gamut, and marked in the CIE-1931 chromaticity diagram.... )

实现分数傅里叶变换及其反变换，并在音频中嵌入和提取水印(audio watermarking by fractal fourier transform)

文字可视化，对于给定的文本，输出可视化效果的程序。(word visualization)

对打开的图像，可以提取其纹理特征，程序运行无误(Right to open the image, you can extract the texture features, the program is running correctly)

PCB板检测的大概流程如下：首先存储一个标准PCB板图像作为参考标准，然后将待检测的PCB板图像进行处理，比较与标准PCB图像的差异。根据差异的情况来判断缺陷类型。(The approximate process of PCB board detection is as follows: first, a standard PCB board image is stored as a reference standard, and then the PCB board image to be detected is processed to compare the difference between the standard PCB image and the standard image. The type of defect is judged according to the difference.)

说明：  数字图像处理 小波处理 ，去噪音，比基于傅里叶变换的去噪方法好。 含噪信号经过预处理，然后利用小波变换把信号分解到各尺度中，在每一尺度下把属于噪声的小波系数去掉，保留并增强属于信号的小波系数，最后再经过小波逆变换恢复检测信号。(The noisy signal is pre-processed, then the signal is decomposed into different scales by wavelet transform. The wavelet coefficients belonging to noise are removed at each scale, and the wavelet coefficients belonging to the signal are retained and enhanced. Finally, the detected signal is restored by inverse wavelet transform. It is better than the denoising method based on Fourier transform.)

直方图增强的，动态频数均衡，用matlab编写(Histogram enhanced, dynamic frequency equalization, using matlab write)

说明：  三次样条插值函数，分别是基于二阶导数的和一阶导数实现的(Cubic spline interpolation function)