Locating Famous Tea’s Picking Point Based on Shi-Tomasi Algorithm

To address the difficulty of locating picking point a tea sprout during intelligent automatic famous tea, this study proposes method to obtain information on basis Shi-Tomasi algorithm. This can rapidly identify sprout’s and its coordinates. Images sprouts in garden were collected, G-B component was segmented using Otsu The region interest set with lowest contour as center. characteristics buds branches area extracted, algorithm used for second segmentation images. improved Zhang branch feature binary image refine skeleton, detect corners skeleton calculate mark points shoots. Sixty sets samples tested. test identified 1,042 effective shoots tender buds, 887 marked, success rate 85.12%, thereby verifying effectiveness providing theoretical reference visual positioning tea.