资源列表
Image Noise Level Estimation by Principal Component Analysis
- 论文Matlab实现：S. Pyatykh, J. Hesser, and L. Zheng, "Image Noise Level Estimation by Principal Component Analysis", IEEE Transactions on Image Processing, Volume: 22, Issue: 2, Pages: 687 - 699, February 2013.
C++人脸分割
- C++人脸分割 利用opencv分割人脸
text seven
- VGA彩条信号显示器设计 设计并调试好一个VGA彩条信号发生器，并用EDA实验开发系统（拟采用的实验芯片的型号可选Altera CycloneII系列的 EP2C5T144C8 FPGA。(A VGA color bar signal generator is designed and debugged, and an EDA experimental development system is used (the model of the experimental chip to be use
干涉条纹
- 使用matlab识别干涉条纹。通过形态学处理，识别干涉条纹数，并计算出条纹间距。内包含交互界面。(The interference fringes are identified by matlab. Through morphological processing, the number of interference fringes is identified and the fringe spacing is calculated. It contains an interactive in
傅里叶变换
- 傅里叶变换，时域和频域图同时，简介方便，可以自行修改采样频率(Fourier transform, time domain and frequency domain graph simultaneously)
信号数学形态学运算 matlab
- 一维信号数学形态学运算的核心算法，基于matlab平台，数学形态处理的基本方法有膨胀，腐蚀。
FFT、DWT、filter、PSD
- 对已测信号进行傅里叶变换，进行滤波器降噪，进行功率谱分析(Perform Fourier transform on the measured signal, perform filter noise reduction, and perform power spectrum analysis)
基本数字水印和DCT数字水印
- 掌握基本数字水印和DCT数字水印的实现和检测方法；检验DCT数字水印，抵抗高斯噪声攻击、椒盐噪声攻击、剪切攻击和旋转攻击的能力。(Grasp the implementation and detection methods of basic digital watermarking and DCT digital watermarking, and test the ability of DCT digital watermarking to resist Gauss noise attack,
机器视觉的零件缺陷和瑕疵检测
- 机器视觉的零件缺陷，瑕疵检测，特征匹配，效率高速度快(Machine vision parts defects, defect detection, feature matching, high efficiency and speed)
字符识别孪生网络
- 运用孪生网络技术识别minst手写字符集并计算准确率(Identifying Minst Handwritten Character Set and Calculating Accuracy Using Twin Network Technology)
statistics
- 用此程序，可将一条曲线离散成散点，并用三次样条曲线重新拟合，使其具有良好而形态。(With this procedure, a curve can be discretized into scatters and re-fitting with a cubic spline curve to give it a good shape.)
warp
- Python语言实现全景图拼接，识别特征，ransac提取，后拼接全景图(Python language achieves panorama mosaic, recognition features, RANSAC extraction, and then mosaic panorama)