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基于圖像輪廓分析的堆疊葡萄果粒尺寸檢測(cè)
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國(guó)家自然科學(xué)基金資助項(xiàng)目(31071320);高等學(xué)校博士點(diǎn)專(zhuān)項(xiàng)科研基金資助項(xiàng)目(20090008110007)


Overlapped Grapes Berry Size Inspection Based on Image Contour Analysis
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    摘要:

    提出一種堆疊葡萄果粒尺寸檢測(cè)算法:首先通過(guò)8-鄰域輪廓跟蹤提取果穗輪廓曲線,然后基于改進(jìn)的曲線旋轉(zhuǎn)和局部極值判斷方法搜索曲線上的凹點(diǎn),從而將曲線分割成分段圓弧以實(shí)現(xiàn)果粒的分割和識(shí)別,進(jìn)而采用最小二乘分段曲線擬合計(jì)算果粒直徑。通過(guò)對(duì)巨峰葡萄的檢測(cè)試驗(yàn)表明,該算法對(duì)葡萄果穗的果粒正確識(shí)別率在35%左右,用于統(tǒng)計(jì)葡萄的平均果粒直徑,平均誤差為0.61mm,最大誤差為1.69mm,根據(jù)果粒大小分級(jí)的準(zhǔn)確率為72.7%。

    Abstract:

    An algorithm was presented to detect size of berries on grapes bunch. Firstly, the contour curves of the grapes bunch were extracted by contour tracking. Then concave points were detected by rotating the curve continuously and searching local extremum points so that the curves were divided into circular arcs, in which each arc corresponds to one berry of the grapes. Finally, the least-square curve fitting method was applied to calculate the radius of the berries. Experiments of Jufeng grapes showed that by using the presented method, about 35% berries on a grapes bunch could be recognized. In the estimation of average berry radius of a bunch, the average error was 0.61mm, the maximum error was 1.69mm and berry size grading accuracy was 72.7%.

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陳英,李偉,張俊雄.基于圖像輪廓分析的堆疊葡萄果粒尺寸檢測(cè)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2011,42(8):168-172,121. Chen Ying, Li Wei, Zhang Junxiong. Overlapped Grapes Berry Size Inspection Based on Image Contour Analysis[J]. Transactions of the Chinese Society for Agricultural Machinery,2011,42(8):168-172,121.

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