微型智能化面粉麸星检测系统研究

[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ARMll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V412（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。

Micro Intelligent Bran Specks Detection System Research

[ 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.