嫩梢识别是实现名优茶智能采摘的前提。本文以茶树嫩梢为研究对象,基于色彩因子开展了自然环境下嫩梢识别研究,提出了采用RGB空间的R-B、YIQ空间的I、Lab空间的b、HSI空间的S,以及YCrCb空间的Cb 5种色彩因子进行图像灰度化,并选择合适的方法进行图像阈值分割,最后采用中值滤波的方法消除噪声。试验结果表明,这些方法都能够在自然环境下有效地区分嫩梢和背景,为后续名优茶智能化采茶机的研究打下理论基础。
Identification of the tender tea shoots is the key step towards the intelligent tea harvesting. This paper presents several methods to recognize the tender tea shoots for high-quality tea production. Gray images were obtained by five color indices, which were R-B, I, b, S and Cb in RGB, YIQ, Lab, HSI and YCrCb color spaces. Then suitable threshold methods were applied to segment image, finally the median filter was used to eliminate noises. The results indicate that these methods were particularly effective for tender tea shoots identification under their natural conditions. The proposed method can be used for future intelligent tea harvest development.
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