计算机与现代化

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基于ImageJ的数字图像处理课程实验教学案例

  

  1. (1.云南大学信息学院,云南 昆明 650091; 2.西南林业大学计算机与信息学院,云南 昆明 650224)
  • 收稿日期:2015-10-30 出版日期:2016-03-17 发布日期:2016-03-17
  • 作者简介:赵毅力(1978-),男,云南昆明人,西南林业大学计算机与信息学院讲师,云南大学信息学院博士研究生,研究方向:数字图像处理,计算摄影学; 徐丹(1968-),女,教授,博士,研究方向:计算机图形学,数字图像处理; 张雁(1973-),女,教授,博士,研究方向:遥感图像处理,机器学习。
  • 基金资助:
    云南省教育厅基金资助项目(2015Y285); 西南林业大学教育科学研究项目(yb201422)

Experiment Teaching Case of Digital Image Processing Course Based on ImageJ

  1. (1. School of Information Science and Engineering, Yunnan University, Kunming 650091, China; 2. Faculty of Computer and Information Sciences, Southwest Forestry University, Kunming 650224, China)
  • Received:2015-10-30 Online:2016-03-17 Published:2016-03-17

摘要: 针对计算机科学与技术专业中的数字图像处理实验教学问题,提出一种基于Java语言和ImageJ平台的数字图像处理实验教学方案。数字图像处理课程实验教学的目的是通过给学生布置难易适中的实验,让学生在实验课程中独立完成数字图像处理问题的解决。虽然学生已经学过Java语言,考虑到并不是所有学生都熟悉ImageJ软件,实验任务的起点通常是首先让学生理解并且测试已有的ImageJ插件的代码模板。其次教师要求学生在已有数字图像处理代码的基础上根据实验要求逐步对现有的插件进行扩充。由于ImageJ软件是开源的,并且本身是开放式的插件架构体系,使得这种构造性的实验教学方法成为可能。

关键词: 数字图像处理, 实验教学, 插件架构, 开源

Abstract: Aiming at the experimental teaching of digital image processing in computer science and technology, a new teaching method of digital image processing based on Java language and ImageJ platform is proposed. Experimental teaching of digital image processing course is designed by the students in the experimental course, so that students can complete the digital image processing problem independently. Although some students have learned the Java language, taking into account that not all students are familiar with ImageJ software, the starting point of the experimental task is usually the first to allow students to understand and test the existing ImageJ plug-in code template. Secondly, the teacher asks the students to expand the existing plug-in based on the experimental requirements in the existing digital image processing code. As the ImageJ software is open source, and itself is an open plug-in architecture system, the experimental teaching method of this kind of structure becomes possible.

Key words: digital image processing, experiment teaching, plug-in architecture, open source

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