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基于機(jī)器視覺的麥田邊界檢測
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    摘要:

    針對不同時(shí)期麥田場景，提出了基于機(jī)器視覺的邊界（田?。z測算法。將攝像機(jī)安裝在農(nóng)田作業(yè)機(jī)械前方，在作業(yè)過程中采集麥田場景圖像。根據(jù)麥田和田外區(qū)域的不同顏色及亮度特征，判斷出田埂的位置以及田埂線的方向候補(bǔ)點(diǎn)群，使用過已知點(diǎn)的哈夫變換計(jì)算出田埂線的斜率。經(jīng)過對多幅不同時(shí)期麥田圖像的處理，證明本檢測算法可以適應(yīng)不同時(shí)期的麥田環(huán)境，并且具有速度快、抗干擾、準(zhǔn)確性高等優(yōu)點(diǎn)。

    Abstract:

    According to various wheat field conditions in different phases, the field-edge detection algorithm based on machine vision was put forward. The camera mounted in front of the tractor could capture the images wheat field during the process of working. With the color and luminance difference of wheat field and outside the field, the position of field-edge and the candidate points of it could be detected; the slope of the field-edge was calculated by using passing a known point Hough transform. Test results showed that the method was suitable for different wheat field phases and has characteristics of fast speed, high veracity and resisting interference.

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張磊,王書茂,陳兵旗,祝青園.基于機(jī)器視覺的麥田邊界檢測[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2007,38(2):111-114.[J]. Transactions of the Chinese Society for Agricultural Machinery,2007,38(2):111-114.

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