Tea grading and blending optimization method based on machine vision

The invention discloses a tea grading and blending optimization method based on machine vision, which comprises the following steps: identifying and detecting flaws of fresh leaves of ancient tree tea and endowing the flaws with weights, endowing different weights according to different fermentation and curling parameters in a tea making process, and dividing the ancient tree tea into four grades according to a weight accumulated value, and making the blended tea cakes according to different grades. By using the method, the taste and the tea fragrance of the blended tea cakes in different batches can be in a relatively uniform level. 本发明公开了一种基于机器视觉的茶叶分级及拼配优化方法，该方法通过对古树茶鲜叶的瑕疵进行识别检测并赋予权重，在茶叶制作过程中根据发酵和卷曲度参数的不同赋予不同权重，根据权重累加值将古树茶叶分为四个等级，并根据等级的不同进行拼配茶饼的制作。使用本发明可以实现不同批次的拼配茶饼的口感、茶香处于较为统一的水准。