Abstract
In classifying tea grades the current available used methods are not consistent to extract the tea texture features accurately. which is resulting low efficiency and poor classification results. To overcome this challenge the novel symmetry detection algorithm based on artificial intelligence is proposed. The symmetry detection algorithm is used to detect the edge of tea image, which is the region of interest to process further based on the captured data. The vertigo model is constructed from captured inputs. The tea feature vector is extracted with the help of BP algorithm and the tea grade is analyzed using the artificial intelligence support. Using the proposed algorithm method, the experimental results shows high classification efficiency and higher accuracy results.
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