Slides of "Machine Vision" course by Zhejiang University Student Smart Factory Innovation Club
浙江大学学生智能工厂创新俱乐部《智能工厂软机器视觉教学》社团精品课程
Course Website: https://haodong-li.com/zju/tag/vision-2022/
- Image basics: Pixels, Colors, Image formats
- Image processing techniques: Filtering, Binarization, cutting, Morphological transformation, Scale and rotation transformation, Image gradient
- Image pattern recognition: Line and circle detection, Feature point detection, Edge detection
- Image pattern recognition: Blob detection, Feature point detection, Template matching
- Neural Network basics: Neuron structure, Multi-layer Perceptron, Handwritten digit recognition, Loss function
- Neural Network basics: Gradient Descent, Backpropagation
- Modern Neural Network: Softmax regression, Deep neural network, Convolutional Neural Network, Server Resources
- Modern Neural Network: Recurrent Neural Networks, Attention Mechanism & Transformer, Natural Language Processing, Reinforcement Learning, Generative Adversarial Networks
- Final project and Q&A: Chess board recognition system
- 图像基本知识：像素、色彩、图像格式
- 图像处理技术：滤波、二值化、切割、形态学变换，尺度与旋转变换、图像梯度
- 图像模式识别：直线与圆的检测、特征点检测、边缘检测
- 图像模式识别：Blob检测、特征点检测、模板匹配
- 神经网络基础：神经元结构、多层感知机、手写数字识别、损失函数
- 神经网络基础：梯度下降、反向传播
- 神经网络基础：Softmax回归、深度神经网络、卷积神经网络、服务器资源
- 神经网络基础：循环神经网络、注意力机制 & Transformer、自然语言处理、强化学习、生成对抗网络
- 大作业与答疑：象棋棋盘识别系统
- Zhang, A., Lipton, Z., Li, M., & Smola, A. (2021). Dive into Deep Learning. arXiv preprint arXiv:2106.11342.