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基于閾值分析的曲線擬合和邊緣檢測(cè)生豬側(cè)視點(diǎn)云補(bǔ)全
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國(guó)家重點(diǎn)研發(fā)計(jì)劃項(xiàng)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(duì)基于深度相機(jī)的生豬體尺檢測(cè)中,生豬胸圍,、腹圍因欄桿遮擋而無法準(zhǔn)確測(cè)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(cè)相結(jié)合的方法,實(shí)現(xiàn)對(duì)側(cè)視點(diǎn)云缺失區(qū)域的補(bǔ)全,。對(duì)DK深度相機(jī)采集到的模型豬左側(cè)原始點(diǎn)云數(shù)據(jù)進(jìn)行預(yù)處理,,采用直通濾波、體素網(wǎng)格下采樣,、統(tǒng)計(jì)濾波及歐氏聚類等方法提取生豬的側(cè)視點(diǎn)云,。對(duì)側(cè)視點(diǎn)云進(jìn)行切片、閾值分析,、投影,,擬合得到曲線擬合之后的補(bǔ)全點(diǎn)云。對(duì)側(cè)視點(diǎn)云進(jìn)行邊緣檢測(cè)得到邊緣點(diǎn)云,,對(duì)邊緣點(diǎn)云的缺失區(qū)域進(jìn)行擬合補(bǔ)全,,得到完整的邊緣點(diǎn)云,將曲線擬合之后的補(bǔ)全點(diǎn)云與邊緣點(diǎn)云進(jìn)行對(duì)比分析,,剔除超出邊緣的補(bǔ)全點(diǎn)云得到最終補(bǔ)全點(diǎn)云,。最后,分別對(duì)未補(bǔ)全點(diǎn)云,、補(bǔ)全點(diǎn)云進(jìn)行體尺測(cè)點(diǎn)的自動(dòng)化提取和人工提取,比較點(diǎn)云補(bǔ)全前后體尺測(cè)點(diǎn)的提取誤差,。試驗(yàn)結(jié)果表明,,通過本文方法對(duì)腹部缺失點(diǎn)云進(jìn)行補(bǔ)全后,腹圍測(cè)點(diǎn)的提取誤差由1.54cm降至0.64cm,,對(duì)胸部缺失點(diǎn)云補(bǔ)全后,,胸圍測(cè)點(diǎn)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(cè)生豬側(cè)視點(diǎn)云補(bǔ)全[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),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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