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計算機(jī)視覺技術(shù)在番茄收獲中的應(yīng)用
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Application of Computer Vision to Tomato Harvesting
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    摘要:

    運用雙目立體視覺技術(shù)對紅色番茄進(jìn)行定位,圖像進(jìn)行灰度變換后,對圖像的二維直方圖進(jìn)行腐蝕,膨脹以后除小團(tuán)塊,提取背景區(qū)邊緣,然后用擬合曲線實現(xiàn)彩色圖像的分割,將番茄從背景中分離出來,對目標(biāo)進(jìn)行標(biāo)定后,用面積匹配實現(xiàn)共軛圖像中目標(biāo)的配準(zhǔn),運用體視成像原理,從兩幅二維圖像中恢復(fù)目標(biāo)的三維坐標(biāo),從實驗數(shù)據(jù)可知,當(dāng)目標(biāo)與攝像機(jī)的距離為300-400mm時,深度誤差可控制在3%-4%。

    Abstract:

    In this paper, the binocular stereovision is applied to orientating red tomatoes. After transformed to grayscale, the 2D histogram of image was eroded and dilated and little area was removed. The edge of background area was extracted, then the image was segmented along the curve gotten from the edge. The corresponding tomato in right image was matched by means of area match after the tomato was labeled, in which means of thresholding was used. The z coordinate of the feature point can be gotten which supported by stereovision imaging technique. In the course of area match, the corresponding feature point in right image was found by error match, thus matching time and possibility of miss match was shorten and decreased respectively. According to the experiment, the error of depth can be controlled within 3~4 percent when the distance between object and camera was ranged from 300~400 mm.

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張瑞合,姬長英,沈明霞,曹坤.計算機(jī)視覺技術(shù)在番茄收獲中的應(yīng)用[J].農(nóng)業(yè)機(jī)械學(xué)報,2001,32(5):50-52,58. Zhang Ruihe Ji Changying Shen Mingxia Cao Kun. Application of Computer Vision to Tomato Harvesting[J]. Transactions of the Chinese Society for Agricultural Machinery,2001,32(5):50-52,58.

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