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蘋果采摘機器人果實識別與定位方法
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Location of Fruits for Apple Harvesting Robot
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    摘要:

    提出了利用歸一化的紅綠色差(R-G)/(R+G)分割蘋果的方法,。對不同光照情況下拍攝的蘋果圖像進行了識別,,并對識別后的圖像進行預處理后,,獲得蘋果的輪廓圖像。對輪廓圖像采用隨機圓環(huán)法進行果實圓心,、半徑提取,。通過建立基于面積特征與極線幾何相結合的匹配策略實現(xiàn)雙目視覺下的果實定位,對于搜索區(qū)域內面積相似的果實,,通過計算垂直投影的互相關函數(shù)最大值的方法,,得到排序基準線,然后根據(jù)順序一致性原則進行匹配,。實驗結果表明:識別算法可以較好地消除陰影,、裸露土壤等影響,識別率達到92%,。采用隨機圓環(huán)法,,可以準確地提取果實的圓心、半徑,。在60~150cm的距離范圍內,,測量誤差小于

    Abstract:

    2cm。An apple recognition method with normalized color difference (R-G)/(R+G) was presented. The apples in the images taken under different lighting conditions were recognized. Some pretreatments were applied to get contour images. The shape features of the apples were extracted from the contour images based on the method of random circle ring. A matching algorithm based on area feature and epipolar geometry was discussed to position the apples. The apples with similar areas were matched according to the principle of left-right order consistency by calculating the maximum value of cross-correlation function of vertical projections. The experiments results show that the proposed recognition method can eliminate influence of shade, and soil, to a certain extent. The recognition rate reaches 92%. The circle centers and radius are extracted precisely and rapidly based on the method of random circle ring. The errors are less than 2cm when the measure distance is between 60cm and 150cm. 

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司永勝,喬軍,劉剛,高瑞,何蓓.蘋果采摘機器人果實識別與定位方法[J].農業(yè)機械學報,2010,41(9):148-153. Location of Fruits for Apple Harvesting Robot[J]. Transactions of the Chinese Society for Agricultural Machinery,2010,41(9):148-153.

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