四川农业大学学报 ›› 2011, Vol. 29 ›› Issue (01): 89-93.doi: 10.3969/j.issn.1000-2650.2011.01.017

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基于ARM的嵌入式水果大小检测与分级系统的实现

党宏社, 宋晋国, 郭琴   

  1. 陕西科技大学电气与信息工程学院, 西安 710021
  • 收稿日期:2010-05-17 出版日期:2011-03-31 发布日期:2017-04-11
  • 基金资助:
    陕西省农产品加工技术研究院项目"基于机器视觉的水果检测与分级系统的研究"(NYY-090301);西安市科技计划项目"基于机器视觉的农作物病虫害检测系统的研究"(NC10015);陕西科技大学研究生创新基金

Realization of Embedded Fruit Size Detecting and Grading System Based on ARM

DANG Hong-she, SONG Jin-guo, GUO Qin   

  1. School of Electrical and Information Engineering, Shaanxi University of Science and Technology, Xian 710021, China
  • Received:2010-05-17 Online:2011-03-31 Published:2017-04-11

摘要: 实现了一种基于嵌入式ARM处理器的水果大小检测与分级系统。为了降低目前水果检测与分级系统的复杂性和成本,系统利用嵌入式ARM9处理系统代替计算机进行图像数据处理,基于Qt/Embedded软件平台,首先获得水果的侧视图像,图像经预处理,然后利用水果直径检测算法检测出水果直径后,按照直径检测结果实现水果大小分级功能。实验结果表明,该检测系统具有处理速度快,测量分级精度高和成本低等优点,在水果品质检测与分级方面具有较高的实用价值。

关键词: ARM, 大小检测, 水果分级, 图像处理

Abstract: This study presents an embedded fruit size detecting and grading system.In order to reduce the complexity and cost of the fruit size detecting and grading system, the embedded ARM9 system is used to perform data processing instead of computer.Fruit side view image is captured by using CMOS camera connected to the embedded hardware.After image preprocessing including filter and image gray, a good fruit size detecting algorithm is used to get its diameter value.According to the diameter information, fruit grading is realized.Under the Qt/Embedded software platform, the overall software is implemented on the embedded system.After that, experiments are carried out.It could accomplish the process of fruit size detecting and grading in 1.5 seconds and its average accuracy is more than 93 percent.The results show that the embedded fruit detecting and grading system has the advantage of high processing speed, high accuracy of grading and low cost.So, the system is of highly practical value in fruit size detecting and grading areas.

Key words: ARM, size detecting, fruit grading, image processing

中图分类号: 

  • TP391