Computer method for comparing similarity of different plant forms

Abstract

The invention discloses a computer method for comparing similarity of different plant forms. The plant topological structure features, peripheral contour features and organ geometry structure information are utilized, and the method comprises the steps of firstly adopting the simplified topological structure of a tree graph describing plant, then computing the similarity of the topological structure based on a tree graph editing distance method, then computing the similarity of three-dimensional convex hulls comprising plants among projections of a plurality of planes based on the two-dimensional graph similarity algorithm, on the basis of the similarity, integrating two-dimensional similarity values in all the projections so as to compute the similarity of peripheral contours of the plants, then, comprehensively considering the geometric attribute of subtrees of all levels, computing the similarity of geometric details of the plants, finally, fusing multi-feature information of the plants, and calculating the similarity among different plant structures. According to the method, form similarity of the different plants can be quantized, and the aim of distinguishing varieties or subjects of the different plants through the similarity can be achieved.

Description

technical field [0001] The content of the present invention relates to the fields of plant classification and pattern recognition, and especially invents a computer method for comparing the similarity between different plant forms aiming at the diversity of plant form characteristics. Background technique [0002] The external form of plants is the basis for plant classification by natural classification methods. The degree of similarity in shape, structure and habit between different plant species can describe the degree of closeness in their genetic relationship. Distinguishing the similarity between different plants is a key step in plant classification retrieval. The traditional identification method mainly relies on manual operation, which is highly subjective, low in efficiency and heavy in workload, so it is increasingly unsuitable for the needs of rapid classification and retrieval of plants. In addition, the plant structure simulation model that accurately describ...

AI Technical Summary

Problems solved by technology

To sum up, at present, there is still a lack of effective methods to compare the similarity between different plant structures at home and abroad.

Images