基于图像信息的茶叶二维采摘坐标的提取

茶叶嫩芽识别是实现智能采摘的前提，茶叶识别之后采摘位置参数的提取也是实现智能采摘的关键所在。文章首先分析了机械采茶的整体实现方案，并论证了由茶叶图像获取二维采摘位置的可行性。然后针对图像处理后获取的茶叶嫩芽的二值图像，根据图像中每株嫩芽的外形轮廓去提取最小外接矩形，并标记该矩形的中心点，以该点作为采摘坐标点。得到了茶叶采摘的二维位置参数，为后续茶叶的智能采摘提供依据。

The two dimension coordinates extraction of tea shoots picking based on image information

The identification of tender tea leaves and the extraction of picking position parameters are prerequisites for intelligent tea harvest. This article first analyzed the overall scheme of tea mechanical picking and the feasibility of obtaining picking position by the tea image. Then extracted the minimum enclosing rectangle of each tea shoot in the binary image and labeled the center of the minimum enclosing rectangle as the picking position of the tea shoot. So the position parameters of tea picking were obtained， which provided the basis for subsequent intelligent picking of tea.