张凯,耿长兴,张二鹏,曲峰,张俊雄,李伟.温室环境下红掌图像拼接算法[J].农业机械学报,2013,44(4):223-227.
Zhang Kai,Geng Changxing,Zhang Erpeng,Qu Feng,Zhang Junxiong,Li Wei.Anthurium Image Mosaicing Algorithm in Greenhouse Environment[J].Transactions of the Chinese Society for Agricultural Machinery,2013,44(4):223-227.
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温室环境下红掌图像拼接算法   [下载全文]
Anthurium Image Mosaicing Algorithm in Greenhouse Environment   [Download Pdf][in English]
  
DOI:10.6041/j.issn.1000-1298.2013.04.039
中文关键词:  红掌图像  温室  自动拼接  SIFT算法  特征匹配
基金项目:国家高技术研究发展计划(863计划)资助项目(SS2012AA041507)、中国博士后科学基金资助项目(2011M500450)、中央高校基本科研业务费专项基金资助项目(2012QJ119)和中国农业大学基本科研业务费研究生科研创新专项资助项目(2012YJ106)
作者单位
张凯 中国农业大学 
耿长兴 中国农业大学 
张二鹏 中国农业大学 
曲峰 中国农业大学 
张俊雄 中国农业大学 
李伟 中国农业大学 
中文摘要:研究了非结构环境复杂背景下图像拼接方法,实现了温室环境下红掌图像的拼接。以温室自然光照环境下随机垄地为研究对象,提出先采用2G-R-B算法提取红掌、再采用SIFT算法进行图像特征匹配的方式,并对使用SIFT算法的图像拼接算法进行了改进,大大降低了原拼接算法在高噪声环境下的运算量及处理时间,实现了高噪声环境下红掌图像快速有效的拼接。在智能对靶施药系统的基础上进行实验,结果表明,所提出的方法拼接速度为0.083s,误判率为7.3%。
Zhang Kai  Geng Changxing  Zhang Erpeng  Qu Feng  Zhang Junxiong  Li Wei
China Agricultural University;China Agricultural University;China Agricultural University;China Agricultural University;China Agricultural University;China Agricultural University
Key Words:Anthurium image  Greenhouse  Automatic mosaicing  SIFT algorithm  Feature matching
Abstract:An image stitching method in the complex environment of non-structural context was studied. The anthurium image mosaicing under greenhouse environment was achieved. A random ridge by natural light environment in greenhouse was researched. An anthurium image stitching method based on SIFT only was improved by using a method that extracting anthurium by a 2G-R-B method firstly, and registering image by SIFT method secondly. The proposed method can greatly reduce the computation and processing time under high-noise environment. And a quickly and efficiently anthurium extraction method under high-noise environment was achieved. Experiments were carried on intelligence target spaying system. The results showed the mosaic time-consuming was 0.083s and false positive rate was 7.3%.

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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