面向智能采矿工程专业的图像理解与视觉感知课程建设研究

通过对图像理解与视觉感知课程教学中存在的“双一流”智能采矿专业相关度不强、学生学习难度较大、课程教学交互性较差和课程的理论与实践有待提升等问题产生的原因进行分析,尝试以智能采矿工程专业研究对象为主线,加深课程内容的广度、深度、高度,增加相关度;对微信小程序的图像处理与视觉感知算法进行设计与实现,希望其可在教学中发挥高效、便捷作用,为智能采矿工业学生在对图像处理与视觉感知领域提供尽可能多的认识与便利;另外,将课程理论与实践的学时合理安排,完善智能采矿专业实践案例,解决智能采矿工程领域应用的实际问题。实践结果表明,调整现有的课程教学内容、交互式教学方式和专业实践案例,进行有机结合,能达到良好的教学效果。

Through the analysis of the causes of the problems in the teaching of Image Understanding and Visual Perception,such as the weak degree of professional relevance,the difficulty of students'learning,the poor interaction of course teaching,and the need to improve the theory and practice of the course,we try to take the research object of intelligent mining engineering as the main line,deepen the breadth,depth and height of the course content,and increase the relevance.Then,we design and implement the image processing and visual perception algorithm of WeChat applet,hoping that it can be used efficiently and conveniently in teaching.It can provide students in the intelligent mining industry with as much knowledge and convenience as possible in the field of image processing and visual perception.In addition,we arrange the theoretical and practical hours of the course,improve the professional practice cases of intelligent mining,and solve the problems of application in the field of intelligent mining engineering.The practical results show that adjusting the existing course teaching content,interactive teaching methods and professional practice cases,and organically combining them can achieve good teaching effects.