Traditional Chinese medicine decoction piece automatic classification system and method based on multiple features and random forest
A technology of automatic classification of Chinese herbal medicines, applied in image analysis, computer parts, character and pattern recognition, etc., can solve the problems of cumbersome manual classification process and inability to accurately and quickly identify categories, so as to promote further development and improve classification Efficiency and workload reduction effect
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[0044] Embodiment 1, the automatic classification system of Chinese herbal medicine decoction pieces based on multi-feature and random forest, such as Figure 1-4 As shown, it includes a data reading unit 1, an image preprocessing unit 2, a feature collection processing unit 3 and an automatic classification storage unit 4 connected in sequence, wherein the image preprocessing unit 2 is connected to the automatic classification storage unit 4.
[0045] The data reading unit 1 is used for reading in images of Chinese herbal medicine pieces required for training or testing.
[0046] After the image preprocessing unit 2 acquires the image from the data reading unit 1, it preprocesses the image to eliminate the noise boundary around the image of the decoction pieces, so as to obtain a clear boundary for the segmentation of the decoction pieces, and use the processed image of the decoction pieces of Chinese medicine The K-Means function is segmented, and the training image after se...
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