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基于改進隨機Hough變換的棉桃識別技術
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Cotton Recognition Based on Randomized Hough Transform
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    摘要:

    為準確識別自然環(huán)境中被遮擋的棉花，提出一種基于隨機Hough變換的棉花識別方法。為了減小運算量，首先基于RGB彩色模型的（R-B色差通道進行圖像分割，利用區(qū)域標記獲取棉花最小外接矩形區(qū)域。然后在有效區(qū)域內采用邊界跟蹤方法獲取輪廓信息，根據(jù)棉桃輪廓的數(shù)學模型進行隨機Hough變換。仿真表明：當棉花輪廓信息丟失量小于1/2時，識別效果良好。而且由于輪廓提取和Hough變換均在有效區(qū)域進行，參數(shù)空間大大壓縮，能滿足采棉機器人對目標識別精度和速度的要求。

    Abstract:

    A cotton recognition method was proposed based on Hough transform in order to recognize the hidden cotton. For reducing the computation complexity, first of all, the image was segmented by R-B channel in RGB color model. The minimum external rectangle was obtained by labeling its region. Then, according to the contour information from the boundary trace, the randomized Hough transform was realized. The experimental results showed that the proposed recognition method presented good performance even the cotton contour loss rated up to 50%. It met the requirements of the precision and rating for the cotton-harvesting-robot. 

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劉坤,費樹岷,汪木蘭,邢燦華,王祝青.基于改進隨機Hough變換的棉桃識別技術[J].農(nóng)業(yè)機械學報,2010,41(8):160-165.Cotton Recognition Based on Randomized Hough Transform[J]. Transactions of the Chinese Society for Agricultural Machinery,2010,41(8):160-165.

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