基于DSP与ARM的大豆籽粒视觉分级系统  

Soybean Seeds Visual Classification System Based on DSP and ARM

作　　者：房俊龙[1] 杨森森[1] 赵朝阳[1] 李明[1] 王润涛[1] 

机构地区：[1]东北农业大学电气与信息学院,哈尔滨150030

出　　处：《农业机械学报》2015年第8期1-6,共6页Transactions of the Chinese Society for Agricultural Machinery

基　　金：教育部春晖计划资助项目(Z2012074);黑龙江省教育厅科学技术研究资助项目(12531004);黑龙江省人力资源与社会保障厅领军人才梯队后备带头人资助项目

摘　　要：针对现有大豆籽粒筛选机构精度低、豆粒损伤大、不能有效识别霉变、灰斑豆粒等缺点,提出了一种基于TMS320DM6437(DSP)和TMS320DM355(ARM)的嵌入式大豆籽粒视觉分级系统的总体设计方案。阐述了该系统的工作原理、硬件构成、软件系统和分级测试。采集的大豆图像,经背景分割后提取豆粒参数,利用统计学方法对豆粒区域进行边界特征、区域特征提取,确定圆形度和平滑度为最优分级特征。以达芬奇技术处理器TMS320DM6437和TMS320DM355作为核心处理单元,嵌入图像处理算法,实现大豆籽粒的视觉分级。选取4类不同品种大豆各2 000粒作为试验样本,对系统进行重复测试,分级筛选精度达到95%。Selection and screening of soybean seeds was an important link in soybean seeds processing. At present, manual work and mechanical principle were widely used in domestic selection and screening of soybean seeds, which were featured by high cost, great labor intensity and low efficiency and precision. In recent years, with the research on machine vision technology deeper, the machine vision was more and more widely applied to recognition and detection of agricultural products. A total design scheme of embedded soybean seeds visual classification system was proposed based on DSP and ARM. The working principle of the device, hardware configuration, software system and placement test were introduced. A soybean seeds selection algorithm was designed, and statistic on parameters was made, extraction of soybean seeds boundary and regional drawing characteristics was found out, and roundness and smoothness were set as primary basis of selection. DSP - ARM dual-processor architecture processor with DaVinci technology TMS320DM6437 （DSP） and TMS320DM355 （ARM） was used as the core processing unit. In this system, a real-time process to the soybean seeds picture captured by camera was taken by using DaVinci technology TMS320DM6437, and the processed result was obtained by using TMS320DM355, which achieved the intelligent grading of soybean seeds. Image processing algorithm was designed firstly, statistical approach was utilized to distill boundary characteristics and regional characteristics of soybean seeds, and then the grading feature was determined. Visual grading of soybean seeds was achieved by embedded operating system. Four varieties of soybean （ Dongnong 42, Dongnong 89836, Dongnong L13 and Dongnong 44） of 2 000 grains each were ＂taken as test samples to retest the device. The precision of selection and screening can reach 95 %.

关 键 词：大豆 分级 机器视觉 TMS320DM6437 TMS320DM355 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]