“数字图像处理”课程中机器学习原理演示和实验系统研究

Study on the machine learning principle demonstration and experiment system in “Digital Image Processing” course

文章针对数字图像处理课程中支持向量机(SVM)、贝叶斯(Bayes)以及人工神经网络(ANN)等机器学习算法,设计了一个演示和实验系统,以可视化方式揭示机器学习算法原理和工作过程。教学实践证明,该系统对学生理解和应用抽象的机器学习技术,提升学生解决复杂工程问题能力有良好的助推作用。

Aiming at the machine learning algorithms include support vector machine, Bayes and artificial neural network of the digital image processing course, a teaching demonstration and experimental system is designed to visually reveal the principle and work process. The teaching practice has proved that the system can help students understand and apply abstract machine learning technology, and enhance students＇ ability to solve complicated engineering problems.