Herbarium classification method and system integrated with multi-scale multi-directional texture characteristics

The invention discloses a herbarium classification method and system integrated with multi-scale multi-directional texture characteristics. The herbarium classification method integrated with multi-scale multi-directional texture characteristics includes the steps: acquiring an image of herbarium; preprocessing the image; extracting the interesting area; segmenting the interesting area through a connected domain, and obtaining a segmented plant lamina set; calculating the geometrical characteristic of single lamina; through the amplitude-gradient histogram of the single lamina, determining the main direction of the texture of the lamina; utilizing different scales of Gaussian kernel to perform Gaussian filtering on the single lamina, and calculating the texture characteristic in the main direction; utilizing a characteristic matrix, and using an SVM (Support Vector Machine) algorithm to classify the single lamina, and obtaining a result set E of all the laminas of a specimen of a plant lamina; and taking the