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基于顏色和形狀特征的茶葉嫩芽識別方
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of the Tea Sprout Based on Color and Shape Features
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    摘要:

    與人工采摘茶葉相比,現(xiàn)有采茶機械雖能提高采摘速度,,但采摘時老葉,、嫩葉一起采,,缺乏選擇性,,并有部分葉片遭破損,,降低了原料品質(zhì),。為此,,需要研究具有選擇性,、低損傷率的自動采摘方法,。本文采用基于顏色和形狀特征的圖像處理方法,實現(xiàn)茶葉嫩芽的計算機識別和檢測,。針對清明期陜西名茶“午子仙豪”茶葉,,首先在RGB顏色空間中提取茶葉圖像的G分量,并采用雙閾值方法對圖像進行分割,;然后根據(jù)茶葉嫩芽的形狀特征,,檢測茶葉嫩芽的邊緣。實驗結(jié)果表明:基于顏色和形狀特征的識別方法能有效分辨出茶葉嫩芽,,識別準確率為94%,,為實現(xiàn)茶葉嫩芽的自動采摘提供了一種有效方法。

    Abstract:

    It is a big problem for China to have not enough workforces in picking tea sprout today, which usually result in missing the tea sprout's optimum picking period. The picking machine currently used improves the picking efficiency indeed. However, the old leaves are picked together with the sprout, and the sprout is damaged at some time. Hence it is necessary to develop an intelligent picking machine that can recognize and pick the sprout with the minimum sprout damage. This paper presents an image process method based on the tea sprout color and shape features, which was used to recognize the “Wuzi Xianhao” (a famous green tea of Shaanxi, China) tea sprout grown at Xixiang County of Shaanxi Province. Firstly, the green component of the tea leaf image in RGB color space was extracted. Secondly, green component image was segmented using double threshold method. Finally, the edge of tea sprout is detected according to its shape feature. Experimental results indicate that this recognizing method of the tea sprout based on color and shape features can reach the right detection rate of 94%, and provide an effective method for automatic tea sprout picking.

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楊福增,楊亮亮,田艷娜,楊青.基于顏色和形狀特征的茶葉嫩芽識別方[J].農(nóng)業(yè)機械學報,2009,40(Z1):119-123. of the Tea Sprout Based on Color and Shape Features[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(Z1):119-123.

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