基于图像处理的物料识别综合实验设计

Comprehensive Experimental Design of Material Recognition Based on Image Processing

  • 摘要: 以实际工业现场生产线中物料分拣的应用为背景,设计了数字图像处理课程的综合实验案例。在综合实验课程中,构建了机器人物料识别与分拣系统和可交互图形用户界面。根据实际工程要求,学生在可交互图形界面中利用Python 作为编程语言,运用生产线中物料识别的原理,补充业务逻辑代码,按照“图像输入—图像处理—结果输出”的顺序完成函数,实现物料分拣的功能。在综合实验设计中采用“分层次”的教学方法,按认知实验、验证实验、创新实验3个层次设计实验。该综合实验是现有理论教学的有益补充,有助于达成课程教学目标。

     

    Abstract: Based on the application of material sorting in the actual industrial field production line, a comprehensive experiment case for the digital image processing course is designed. In the comprehensive experiment case, a material recognition and sorting robot system and an interactive graphical user interface are constructed. Students use Python as the programming language and apply the principle of material recognition to add the business logic code in the interactive graphical interface according to the actual engineering requirements. Students complete functions in the order of “image input-image processing-result output” to realize material sorting. In the design of this comprehensive experiment, the muti-level teaching method is adopted, and the experiment is divided into three levels including cognitive experiment, verification experiment and innovation experiment. This comprehensive experiment is a useful supplement to the existing theory teaching and helps to achieve the teaching objectives of the course.

     

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