Automatic Segmentation for Plant Leaves via Multiview Stereo Reconstruction
المؤلفون المشاركون
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-02-20
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
This paper presented a new method for automatic plant point cloud acquisition and leaves segmentation.
Quasi-dense point cloud of the plant is obtained from multiview stereo reconstruction based on surface expansion.
In order to overcome the negative effects from complex natural light changes and to obtain a more accurate plant point cloud, the Adaptive Normalized Cross-Correlation algorithm is used in calculating the matching cost between two images, which is robust to radiometric factors and can reduce the fattening effect around boundaries.
In the stage of segmentation for each single leaf, an improved region growing method based on fully connected conditional random field (CRF) is proposed to separate the connected leaves with similar color.
The method has three steps: boundary erosion, initial segmentation, and segmentation refinement.
First, the edge of each leaf point cloud is eroded to remove the connectivity between leaves.
Then leaves will be initially segmented by region growing algorithm based on local surface normal and curvature.
Finally an efficient CRF inference method based on mean field approximation is applied to remove small isolated regions.
Experimental results show that our multiview stereo reconstruction method is robust to illumination changes and can obtain accurate color point clouds.
And the improved region growing method based on CRF can effectively separate the connected leaves in obtained point cloud.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Guo, Jingwei& Xu, Lihong. 2017. Automatic Segmentation for Plant Leaves via Multiview Stereo Reconstruction. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1192822
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Guo, Jingwei& Xu, Lihong. Automatic Segmentation for Plant Leaves via Multiview Stereo Reconstruction. Mathematical Problems in Engineering No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1192822
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Guo, Jingwei& Xu, Lihong. Automatic Segmentation for Plant Leaves via Multiview Stereo Reconstruction. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1192822
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1192822
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر