Experiment Study of Real-time Recognition of Weeds in Cotton Field Based on DSP
Considering of large amount of data and complexity of calculating in recognition of weeds from cotton fields, the research on real-time recognition of weeds from cotton fields was developed based on DSP chip TMS320DM642. The structure and feature of TMS320DM642 had been analyzed. Also several image processing procedures, including image segmentation, image filter processing, division of spray area and weed recognition whose rate is 86.7％ had been studied. Because of quick image processing of DSP, real-time recognition of weed in cotton fields was increased. The average time of processing an image is 976.3ms, which can make the movement speed of weeds on the platform faster than 0.2m/s. The tests showed that real-time recognition system can meet the requirements of precise spraying on target in cotton fields.
TMS320DM642 weed real-time recognition
Yin Dongfu Chen Shuren Pei Wenchao Zhou Xiang Chen Zujue
Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education & Jiangsu Prov Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education & Jiangsu Prov School of Computer Science and Telecommunication Engineering of Jiangsu University Zhenjiang, China
国际会议
山东淄博
英文
258-262
2011-05-27（万方平台首次上网日期，不代表论文的发表时间）