Position: Home > Articles > Micro Intelligent Bran Specks Detection System Research
Journal of Anhui Agricultural Sciences
2014
(17)
352-354
微型智能化面粉麸星检测系统研究
作 者：
于心俊;李贝贝;李秀娟
单 位：
河南工业大学电气工程学院
关键词：
麸星检测;ARM11;Linux;V4L2;机器视觉
摘 要：
[目的]小麦面粉麸星含量是评价面粉等级的重要指标之一,为了快速准确地检测出面粉麸星含量,介绍一种基于ARM11处理器的面粉麸星检测系统。[方法]系统采用机器视觉和嵌入式Linux操作系统,在Qt框架中运用V4L2(Video for Linux 2)的驱动架构实现麸星图像数据采集、显示和保存,最后通过数字图像处理技术检测面粉中的麸星含量。[结果]采集到的麸星图像分辨率高,麸星检测结果精确。[结论]该系统具有高的稳定性和精确度,并且检测效率明显提高。
译 名：
Micro Intelligent Bran Specks Detection System Research
作 者：
YU Xin-jun;College of Electrical Engineering,Henan University of Technology;
关键词：
Bran specks detection;;ARM11;;Linux;;V4L2;;Machine vision
摘 要：
[Objective]Wheat bran specks content of flour is one of important index for flour grade evaluation,in order to accurately detect the bran specks content,a kind of bran specks detection system based on ARM11 processor was introduced. [Method]In the system,machine vision and embedded Linux operating system were used,V4L2( Video for Linux 2) driven architecture was adopted to implement bran specks image acquisition,display and save in the Qt framework,finally the content of the bran specks was detected through digital image processing techniques.[Result]The collected bran specks image had high resolution,and the result of bran specks detection was precise. [Conclusion]The result indicates the system has high stability and precision,and detection efficiency has improved significantly.
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