资源列表
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)
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)
二维码扫描识别
- 基于opencv+zbar+visual studio的二维码扫描识别，文件里有写具体做法和具体代码(opencv ,zbar,visual studio)
5
- python实现双目立体匹配SGBM算法(SGBM algorithm for binocular stereo matching based on Python)
CS_Lenabmp
- BCS代码稀疏重构Lena.bmp图像，包中含有代码和图片本身，题主给了一定注释，便于CS初学者学习(BCS code sparsely reconstructs Lena. BMP image. The package contains code and image itself. The theme is given a certain comment, which is convenient for CS beginners to learn.)
石鑫华视觉网-中科院自动化所 计算机视觉课件
- labview基础视觉识别的东西，讲的很细(The basic visual recognition course of LabVIEW is very detailed.)
VMD_tu
- vmd分解之后分解信号和原信号的对比图、频谱图等(After VMD decomposition, the contrast and spectrum of the decomposed signal and the original signal, etc.)
生物特征识别技术手指静脉识别技术_余成波
- 结合图像处理MATLAB的基本原理和知识，详细介绍了手指静脉预处理，图像分割，静脉纹路分割，滤波去噪，细化等相关内容。(Combined with the basic principle and knowledge of image processing, this paper introduces the finger vein pretreatment, image segmentation, vein vein segmentation, filtering and denoising,
分布式tensorflow
- 1.使用distribute.py在分布式tensorflow中进行训练mnist模型 2.使用mnist_test.py进行测试模型，获取输出结果(1. Training MNIST model in distributed tensorflow using distribute.py 2. Use mnist_test.py to test the model and get the output results)
全息重建程序
- matlab GUI 界面，全息图重建，通过改变Z和lamada可以得到-1级，0级，1级再现图(Matlab GUI interface, hologram reconstruction, by changing Z and lamada can be - 1, 0, 1 level reproduction map)
NDVI批量计算Python代码
- NDVI最大值合成法批量计算Python代码(Python Code for Batch Computing by NDVI Maximum Composition Method)
gaussian_weighting_function_smoothing_Win64
- 高斯权函数的卷积平滑法有时亦简称为高斯平滑法，在天文地球动力学的观测资料处理中应用较多，其主要原理是将测量数据y(ti), i = 1,2,...,N与一个高斯曲线分布的权函数作为卷积计算，求得测量数据的平滑值。由于高斯权函数平滑法简单，计算机易于实现，且既可用于等间隔又可用于不等间隔数据，因此应用范围较广。(For Gaussian smoothing)