温室环境下红掌图像拼接算法
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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)


Anthurium Image Mosaicing Algorithm in Greenhouse Environment
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    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%。

    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%.

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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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  • 在线发布日期: 2013-03-28
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