微型智能化面粉麸星检测系统研究  

Micro Intelligent Bran Specks Detection System Research

作　　者：于心俊[1] 李贝贝[1] 李秀娟[1] 

机构地区：[1]河南工业大学电气工程学院,河南郑州450007

出　　处：《安徽农业科学》2014年第17期5686-5688,共3页Journal of Anhui Agricultural Sciences

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。[ 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 ac- quisition, 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 indi- cates the system has high stability and precision, and detection efficiency has improved significantly.

关 键 词：麸星检测 ARM11 LINUX V4L2 机器视觉 

分 类 号：S512.1[农业科学—作物学]