胡天翔,郑加强,周宏平.基于双目视觉的树木图像测距方法[J].农业机械学报,2010,41(11):158-162.
.Measurement Method of Depth Information of Tree Images Based on Binocular Vision[J].Transactions of the Chinese Society for Agricultural Machinery,2010,41(11):158-162.
摘要点击次数: 2888
全文下载次数: 1773
基于双目视觉的树木图像测距方法   [下载全文]
Measurement Method of Depth Information of Tree Images Based on Binocular Vision   [Download Pdf][in English]
  
DOI:10.3969/j.issn.1000-1298.[year].[issue].[sequence]
中文关键词:  智能喷雾  树木图像  测距  双目视觉
基金项目:
胡天翔  郑加强  周宏平
南京林业大学
中文摘要:研究了双目视觉技术在智能对靶喷雾中的应用;试验中运用平行光轴的摄像机采集图像,通过寻找树木图像中特征点的方式将两幅图像进行匹配,解决相似性问题;再计算出目标树木到摄像头的距离及其误差,试验的平均偏差率在8%以内;运用该方法能达到智能喷雾中控制施药量的目的,提高精确智能对靶施药效率。
Key Words:
Abstract:A binocular vision technology was used in intelligence on the targeting sprayer. Parallel axis camera captured images was used in the experiments, and through the mode of finding feature points in tree images to match the two images to solve comparability problems. Then the distance and its error between camera and the object trees were calculated. The average error was maintained within the range of 8%. Applying this method can make the intelligent pesticide target spraying so as to improve the efficiency.

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.

   下载PDF阅读器