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作 者:马慧敏[1] 黄金日 焦俊[1] 乔焰[1] 沈春山[1] Ma Huimin;Huang Jinri;Jiao Jun;Qiao Yan;Shen Chunshan(College of Information and Computer,Anhui Agriculture University,Hefei 230031,China)
机构地区:[1]安徽农业大学信息与计算机学院,安徽合肥230036
出 处:《黄山学院学报》2020年第3期83-86,共4页Journal of Huangshan University
基 金:安徽农业大学教学质量工程项目(2018aujyxm114);安徽省教育厅自然科学研究重点项目(KJ2019A0210)。
摘 要:《数字图像处理》课程基础理论复杂抽象,实践性强应用广。随着人工智能的不断发展,更突显了课程的重要性。针对目前该课程教学中普遍重理论轻实践等现状,提出了实施《数字图像处理》课程知识点综合应用的创新实践项目,能促使学生构建完整的认识体系,对学生综合应用《数字图像处理》专业知识处理实际问题有一定的指导作用。Digital Image Processing is a course with complex and abstract basic theory, and strong and wide practical application. Along with the development of artificial intelligence, the practicality of this course is highlighted. At present, there are many theories and few practices in the teaching of this course. In the process of teaching, the interrelation between knowledge points is often neglected, which makes it impossible for students to establish a complete understanding system for the course of Digital Image Processing. This paper provides an innovative practice project for the comprehensive application of knowledge points in Digital Image Processing to be acquired by students in an integrated manner, which has certain guidance for students to deal with practical problems with professional knowledge in Digital Image Processing.
关 键 词:数字图像处理 创新实践 作物颗粒计数与识别 项目实施
分 类 号:G642.3[文化科学—高等教育学]
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