RECOGNITION OF THE TEA SPROUT BASED ON COLOR AND SHAPE FEATURES
There are not enough workforces in China in picking tea sprout today, which usually result in missing the optimum picking period of tea sprout. The picking machine currently used improves the picking efficiency indeed. However, the old leaves are picked together with the sprout, more seriously the sprout is damaged at the same time. So, it is in great need of 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 around the Pure Brightness (5th solar term). 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. Lastly, the edge of tea sprout is detected according to its shape feature. The experimental results illustrate that this recognizing method of the tea sprout based on color and shape features can recognize the tea sprout and the right detection rate is 94％, which provides a effective method for automatic tea sprout picking.
Tea sprout Recognition Color feature Shape feature
Fuzeng Yang Liangliang Yang Yanna Tian Qing Yang
College of Mechanical and Electronic Engineering,Northwest A&F University,Yangling,Shaanxi,712100,Ch College of Mechanical and Electronic Engineering,Northwest A&F University,Yangling,Shaanxi,712100,Ch College of Information Engineering,Northwest A&F University,Yangling,Shaanxi,712100,China
国际会议
北京
英文
1-8
2009-10-14（万方平台首次上网日期，不代表论文的发表时间）