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基于近紅外圖像的溫室小型西瓜采摘信息獲取技術
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“十二五”國家科技支撐計劃資助項目(2011BAD20B07);國家自然科學基金資助項目(31071320);高等學校博士學科點專項科研基金資助項目(20090008110007)


Information Acquisition Technique of Mini-watermelon for Harvesting Based on Near-infrared Image in Greenhouse
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    摘要:

    為實現(xiàn)溫室立體栽培模式下小型西瓜的識別與空間定位,,研究了基于近紅外圖像的西瓜采摘信息獲取方法,。測定,、比較西瓜果實與莖、葉的光譜反射率,,確定波長850nm附近波段為區(qū)分西瓜與背景的最佳波段,,在光強差異較大的兩時段內采集了最佳波段下的西瓜近紅外圖像,;通過Otsu算法濾除背景信息,,利用“米”字型模板檢測得到“濃縮西瓜”區(qū)域,實現(xiàn)西瓜果實識別,;使用形心坐標計算公式獲得采摘點坐標,;根據(jù)西瓜果梗生長特性,利用分塊定位算法獲得切割點坐標信息,。在溫室環(huán)境下隨機選擇拍攝50幅有西瓜圖像和20幅無西瓜圖像進行識別算法驗證,,并對識別成功的有西瓜圖像進行采摘點與切割點提取算法驗證。結果表明,,有西瓜圖像識別成功率為86%,,無西瓜圖像為95%;采摘點,、切割點定位準確度分別為93.0%、88.4%,。

    Abstract:

    In order to realize the recognition and localization of the mini-watermelon with stereoscopic cultivation in greenhouse, a machine vision method for acquiring harvesting information of watermelon based on the near-infrared spectral image was presented. By comparing the spectral reflectance of fruit, leaf and stem, a wavelength of about 850nm was chosen as the best wavelength, of which the images taken at different illumination conditions were tested for fruit recognition. At first, the Otsu threshold algorithm was adopted to eliminate most background information. Then, a template liked circle was used to detect fruit region and reduce the noises. Thirdly, according to the morphological feature, the centroid of fruit was considered as the optimum point for picking and the cutting point was judged by “block-location method”. 50 images including fruits and 20 images without fruits were tested by the recognition algorithm, which can satisfactorily detect fruit with a recognition rate of 86% and 95%, respectively, and the accuracy rate of locating algorithm for picking point and cutting point detection was 93.0% and 88.4%, respectively, which met the demand of robotic vision system.

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袁挺,紀超,張震華,張俊雄,譚豫之,李偉.基于近紅外圖像的溫室小型西瓜采摘信息獲取技術[J].農(nóng)業(yè)機械學報,2012,43(7):174-178,155. Yuan Ting, Ji Chao, Zhang Zhenhua, Zhang Junxiong, Tan Yuzhi, Li Wei. Information Acquisition Technique of Mini-watermelon for Harvesting Based on Near-infrared Image in Greenhouse[J]. Transactions of the Chinese Society for Agricultural Machinery,2012,43(7):174-178,155.

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  • 在線發(fā)布日期: 2012-07-02
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