Plant species identification method based on digital image

Abstract

The invention provides a plant species identification method based on a digital image. The method comprises the following steps: collecting a plant organ digital image as a test sample, and extracting a characteristic vector; inputting the characteristic vector into a first stage classifier, and obtaining first n species in a vote number ranking, wherein n is larger than 3 and smaller than 10; the first stage classifier is obtained through the following modes: carrying out classifier training based on a characteristic set of all training samples; inputting the characteristic vector into a second stage classifier, and obtaining an identification result; the second stage classifier is obtained through the following modes: extracting a characteristic set corresponding to the n species from the characteristic set of all training samples to carry out classifier training. According to the invention, through a grading SVM classifier, sensitivity of the classifier to sample kind quantity is effectively reduced, influence of sample species increase on identification accuracy is eliminated, a problem of low accuracy of large sample size identification by the SVM classifier is overcome, and plant identification accuracy is raised.

Description

technical field [0001] The invention relates to image recognition technology, in particular to a digital image-based plant species recognition method. Background technique [0002] Plant taxonomy is the basic subject of the plant science system and plays an important role in agriculture, forestry and other related industries. Plant taxonomy identifies and classifies plants based on their various appearance traits. For the acquisition of these traits and characteristics, in the traditional way, manual field measurement is often used for operations. According to the obtained data, plants are identified and their category is determined. The whole work process not only consumes more manpower and material resources, but also puts forward high requirements on the professional knowledge and experience of the staff. With the development of information technology and automatic recognition theory, and the gradual popularization of digital image acquisition equipment (such as digita...

AI Technical Summary

Problems solved by technology

[0072] The purpose of the embodiments of the present invention is to provide a method for identifying plant species based on digital images. Through the hierarchical SVM classifier, the sensitivity of the classifier to the number of sample types is effectively reduced, and the impact of the increase in sample categories on the recognition accuracy is eliminated. It overcomes the problem of low recognition accuracy of SVM classifiers for large sample sizes, thereby improving the accuracy of plant recognition

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