Received: 22-07-2015
Accepted: 03-09-2015
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A Computerized Vision - Based Method for Automatic Detection of Tea Shoot Tips
,
Vu Hai
1
,
Nguyen Thi Huyen
1
,
Pham Thi LanAnh
1
Abstract
For tea producers and tea researchers, counting tender shoots in a samplingarea is usually done to evaluate productivity, recordthe growth of teaor to decide the appropriate time for harvest. However, it is a tedious and time consuming task. In this paper, we proposeda computerized vision - based method for automatically detecting and counting the number of tea shoottips in an image acquired from a tea field. First, we builta parametric model of a tea – shoottipscolor distribution in order to roughly separate Regions - of - Interest (ROIs) from a complicated background. For each ROI, we then extractedsupportive (local) features with expectations that these features will only appear around an apical bud of tea shoots thanks to two measurements: the density of edge pixels and thestatistic of gradient directions. Consequently, the extracted features were put into a mean shift cluster to locate the position of tea shoottips. The proposed method wasevaluated on a set of testing images at different sitesof tea fields and different plant ages. The results showed that the system could recognize tea shoot tips with86% accuracy. It is, therefore, possibleto designacounting-assistedtool for supportingtea producers or tea researchers.
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