赵吉文,高尚,魏正翠,汪洋.基于FPGA的西瓜子机器视觉色选系统[J].农业机械学报,2011,42(8):173-177,163.
Zhao Jiwen,Gao Shang,Wei Zhengcui,Wang Yang.Design and Experiment of Watermelon Seed Machine Vision Inspection System Based on FPGA[J].Transactions of the Chinese Society for Agricultural Machinery,2011,42(8):173-177,163.
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基于FPGA的西瓜子机器视觉色选系统   [下载全文]
Design and Experiment of Watermelon Seed Machine Vision Inspection System Based on FPGA   [Download Pdf][in English]
  
DOI:10.3969/j.issn.1000-1298.[year].[issue].[sequence]
中文关键词:  西瓜子  色选机  机器视觉  FPGA
基金项目:安徽省自然科学基金资助项目(11040606M123);安徽高校省级自然科学重点资助项目(KJ2011A012)
作者单位
赵吉文 安徽大学 
高尚 安徽大学 
魏正翠 安徽大学 
汪洋 安徽大学 
中文摘要:基于现场可编程门阵列FPGA并行运算平台,设计了一种采用线阵CCD芯片的西瓜子色选机系统。硬件平台将CCD芯片驱动、动态图像的采集与处理、分类计算及气阀控制信号输出等集中在一个FPGA芯片上实现。色选机试制系统产量为1.2~1.8t/h,色选精度97.7%,带出比为6~8。与传统工控机平台进行对比试验,验证了基于FPGA的西瓜子色选机系统具有良好的实时性和高效性。
Zhao Jiwen  Gao Shang  Wei Zhengcui  Wang Yang
Anhui University;Anhui University;Anhui University;Anhui University
Key Words:Watermelon seed  Sorter  Machine vision  FPGA
Abstract:A kind of watermelon seeds sorter system with linear CCD chip was designed based on the FPGA parallel computing platform. Through integrating CCD driver, dynamic image acquisition and processing algorithms, classification algorithm and valve control signal output in one FPGA chip, the hardware platform were designed. The color sorter prototype system had an output of 1.2~1.8 t/h, color sorting accuracy was 97.7%, ratio of color separation mass was 6~8. The good real time and efficiency of the watermelon seeds sorter system based on FPGA were verified by the experiments that compared with the traditional industrial computer platform.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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