图像拼接重建苹果树冠层器官三维形态

为重建苹果树年生长期冠层器官三维形态，以休眠期、疏花期、成熟期苹果树冠层为研究对象，分别针对基于光合混合探测技术（photonicmixerdetector，PMD）的摄像机与彩色摄像机获取的强度图像与彩色图像开展冠层图像拼接技术研究。利用Scaleinvariantfeaturetransform算法的尺度不变特征，并结合Randomsampleconsensus算法精确确定图像映射模型，避免了果园非结构光及图像尺度变换的影响。以此为基础，应用拉普拉斯金字塔分解与重构算法、分层确定融合规则，实现了不同生长期的冠层图像拼接，有效克服了传统融合算法反映细节信息能力差、拼接痕迹明显等缺点。果园不同...

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Bibliographic Details
Published in农业工程学报 Vol. 30; no. 12; pp. 154 - 162
Main Author 马晓丹 孟庆宽 张丽娇 刘刚 周薇
Format Journal Article
LanguageChinese
Published 黑龙江八一农垦大学信息技术学院，大庆 163319%中国农业大学现代精细农业系统集成研究教育部重点实验室,北京,100083 2014
中国农业大学现代精细农业系统集成研究教育部重点实验室，北京 100083
Subjects
三维
冠层器官
图像拼接
图像融合
图像配准
多源图像
年生长期
苹果树
三维
annual growth cycle
image registration
image fusion
图像配准
图像融合
multi-source images
image mosaics
冠层器官
多源图像
apple trees
canopy organ
年生长期
three-dimensional
苹果树
图像拼接
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ISSN1002-6819
DOI10.3969/j.issn.1002-6819.2014.12.019

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Summary:为重建苹果树年生长期冠层器官三维形态，以休眠期、疏花期、成熟期苹果树冠层为研究对象，分别针对基于光合混合探测技术（photonicmixerdetector，PMD）的摄像机与彩色摄像机获取的强度图像与彩色图像开展冠层图像拼接技术研究。利用Scaleinvariantfeaturetransform算法的尺度不变特征，并结合Randomsampleconsensus算法精确确定图像映射模型，避免了果园非结构光及图像尺度变换的影响。以此为基础，应用拉普拉斯金字塔分解与重构算法、分层确定融合规则，实现了不同生长期的冠层图像拼接，有效克服了传统融合算法反映细节信息能力差、拼接痕迹明显等缺点。果园不同环境下（晴天顺光、晴天逆光、阴天）的试验表明：提出的拼接方法适合于苹果树年生长期的冠层器官图像拼接，且算法的鲁棒性、速度及拼接精度均能满足冠层三维重建工作的要求，研究成果对提升剪枝、疏花、测产、采摘等果园管理的信息化水平具有重要意义。
Bibliography:Annual growth cycle of fruit trees is the whole process of life activities with specific laws, including flower thing period and mature period. For a long time, how to construct the three-dimensional shape of an apple tree canopy with color information in different growth stages of fruit tree, has been always a research priority. At present, three methods are usually used to reconstruct 3D shape including stereo vision technology, laser scanner, and three-dimensional digitizer. The stereo vision technology is vulnerable to unstructured outdoor light. The use of a laser scanner can overcome the disadvantages above, but with slow speed to access information. The three-dimensional digitizer requires strict conditions of the external environment, and cannot obtain color information of objects. Photonic Mixer Device （PMD） is a three-dimensional imaging device based on time of flight technology, through which the distance information of objects could be obtained at a speed of 40fps. Although the resolution of the P
ISSN:1002-6819
DOI:10.3969/j.issn.1002-6819.2014.12.019