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基于閾值分析的曲線擬合和邊緣檢測生豬側(cè)視點云補全
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國家重點研發(fā)計劃項目(2016YFD0700204)


Side-view Point Cloud Completion Method Combining Cubic B-spline Curve Fitting and Edge Detection Based on Threshold Analysis
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    摘要:

    針對基于深度相機的生豬體尺檢測中,生豬胸圍,、腹圍因欄桿遮擋而無法準確測量的問題,本文提出一種基于閾值分析的三次B樣條曲線擬合和邊緣檢測相結(jié)合的方法,,實現(xiàn)對側(cè)視點云缺失區(qū)域的補全,。對DK深度相機采集到的模型豬左側(cè)原始點云數(shù)據(jù)進行預處理,采用直通濾波,、體素網(wǎng)格下采樣,、統(tǒng)計濾波及歐氏聚類等方法提取生豬的側(cè)視點云。對側(cè)視點云進行切片,、閾值分析,、投影,擬合得到曲線擬合之后的補全點云,。對側(cè)視點云進行邊緣檢測得到邊緣點云,,對邊緣點云的缺失區(qū)域進行擬合補全,得到完整的邊緣點云,,將曲線擬合之后的補全點云與邊緣點云進行對比分析,,剔除超出邊緣的補全點云得到最終補全點云。最后,,分別對未補全點云,、補全點云進行體尺測點的自動化提取和人工提取,比較點云補全前后體尺測點的提取誤差,。試驗結(jié)果表明,,通過本文方法對腹部缺失點云進行補全后,腹圍測點的提取誤差由1.54cm降至0.64cm,,對胸部缺失點云補全后,,胸圍測點的提取誤差由3.41cm降至0.89cm,。

    Abstract:

    Aiming at the problem that the breast and belly circumference of pigs cannot be accurately measured due to the barriers of the railing in the study of pig body size detection based on depth camera, a method of combining cubic B-spline curve fitting and edge detection based on threshold analysis was proposed, to achieve the completion of the missing area of the side-view point cloud.The original point cloud data on the left side of the fake pig collected by the DK depth camera was preprocessed, and the side-view point cloud of the pig was extracted by methods such as straight-through filtering, voxel grid down-sampling, statistical filtering and Euclidean clustering. Perform slicing, threshold analysis, projection, and fitting of the side-view point cloud were carried out to obtain the complementary point cloud after curve fitting, and then edge detection was performed on the side-view point cloud to obtain the edge point cloud, and the missing part of the edge point cloud was fitted and complemented to obtain a complete edge point cloud, the complementary point cloud after curve fitting was analyzed and compared with the edge point cloud, and the complementary point cloud was removed beyond the edge to obtain the final side-view complementary point cloud.Automatic extraction and manual extraction of body size measurement points were performed on the uncompleted point cloud and the complete point cloud respectively. The experimental results showed that after completing the missing point cloud of the abdomen by the method, the selection error of the abdominal measurement point was reduced from 1.54cm to 0.64cm. After the missing point cloud of the chest was completed, the selection error of the chest measurement point was reduced from 3.41cm to 0.89cm. The research results can provide a method for the side-view point cloud completion of pigs.

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李孟飛,康 熙,王彥超,陳 玨,張馨月,劉 剛.基于閾值分析的曲線擬合和邊緣檢測生豬側(cè)視點云補全[J].農(nóng)業(yè)機械學報,2021,52(S0):81-88. LI Mengfei, KANG Xi, WANG Yanchao, CHEN Jue, ZHANG Xinyue, LIU Gang. Side-view Point Cloud Completion Method Combining Cubic B-spline Curve Fitting and Edge Detection Based on Threshold Analysis[J]. Transactions of the Chinese Society for Agricultural Machinery,2021,52(S0):81-88.

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  • 收稿日期:2021-07-10
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  • 在線發(fā)布日期: 2021-11-10
  • 出版日期: 2021-12-10
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