基于角谱理论艾里光束的传播

Gabor小波进行特征提取，实现人脸识别(Gabor Wavelet Feature Extraction to Achieve Face Recognition)

说明：  基于内容的图像检索系统，用matlab编写的，用户可以方便地修改添加新特征，减少工作量。(Content-based image retrieval systems, written with matlab, the user can easily modify to add new features, reduce the workload.)

说明：  词： 适用于医学图像配准的程序，可以设置不同参数配准(The program for medical image registration can set different parameters for registration)

数字图象处理算法的演示，包括：图象的DFT和逆DFT，图象的FFT和逆FFT，在图象中加入正弦噪声，图象的模板运算实现图象平滑和锐化等等。(digital image processing algorithms demo, including : Image DFT and inverse DFT, FFT image and inverse FFT, in the image by adding sinusoidal noise, the template image Operational Image sharpening and smoothing and so on.)

说明：  基于IDL语言，使用珠海一号内蒙古地区样例数据、珠海一号贵阳省高光谱数据、Landsat5济南上下幅TM数据（用于拼接验证），实现文件基本操作、遥感图像预处理、高光谱数据处理、生态评价、最大似然法分类、K-Means分类等遥感图像初步处理功能。(Based on IDL language, using Zhuhai No.1 Inner Mongolia area sample data, Zhuhai No.1 Guiyang province hyperspectral data, landsat5 Jinan upper and lower TM data (for splicing verification), the preliminary processing functions of remote sensing image, such as file basic operation, remote sensing image preprocessing, hyperspectral data processing, ecological evaluation, maximum likelihood classification, K-means classification, etc.)

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.)

About a com application 关于一个com的应用(The Application of About a com application to a com)

基于Tensorflow的Unet实现，里面有详细的教程。(TensorFlow for Unet, in which there are detailed teaching lecture.)

说明：  分割区域图像,好滴哦将按计划啊房价跌幅 安防科技来得及(for photo segemetation)

这是DCT的改进算法，可以提高DCT算法的执行速度。(This is the DCT of the improved algorithm can improve the execution speed DCT algorithms.)