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基于Hough變換的成熟草莓識別技術
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    摘要:

    基于圖像區(qū)域特征來識別被遮掩,、重疊或緊靠的草莓果實非常困難,提出一種基于Hough變換的成熟草莓識別方法,。先對Lab彩色模型下a通道圖像進行分割,,利用提取的草莓輪廓信息,,根據(jù)草莓輪廓的數(shù)學模型進行Hough變換,,實現(xiàn)成熟草莓的識別,。為減少運算量,,在Hough變換之前,,先進行區(qū)域標記,,獲取有效圖像信息區(qū)域。草莓輪廓信息提取和Hough變換在各個有效區(qū)域中進行,,由于參數(shù)空間大大壓縮,,運算量也得到減少。試驗表明:當成熟草莓輪廓信息丟失小于1/2時,,無論單個分離的成熟草莓,,還是被遮掩,、重疊或緊靠的成熟草莓,皆有很好的識別效果,,識別平均相對偏差為4.8%,,能滿足草莓采摘機器人對目標識別精度的要求。

    Abstract:

    Strawberry recognition is a very important part in strawberry harvesting robot. The method being used is based on the features (such as area, compact, etc.) of the image area. It is effective for single strawberry recognition, but unsatisfactory for complex situation, in which the strawberry may be hidden by other objects or covered each other. In this paper, we put forward a new method for strawberry recognition based on Hough transform. It labels the region of the image after segmented, gets the minimum enclosing rectangle (MER) and recognizes it based on Hough transform using the contour of strawberry in the MER. The experimental results show that the strawberry recognition method based on Hough transform is effective both for single strawberry and complex situation when the strawberry contour loss is less than 1/2. The recognition warp on average is 4.8% and can meet the requirement of strawberry harvesting robot.

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謝志勇,張鐵中,趙金英.基于Hough變換的成熟草莓識別技術[J].農(nóng)業(yè)機械學報,2007,38(3):106-109.[J]. Transactions of the Chinese Society for Agricultural Machinery,2007,38(3):106-109.

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