Unmanned aerial vehicle aerial image soybean crop row segmentation method

Abstract

The invention discloses an unmanned aerial vehicle aerial image soybean crop row segmentation method. Firstly, aerial soybean crop image segmentation is carried out; the upper and lower boundaries ofcrop rows are determined based on row scanning; crop row left and right boundaries are determined based on column scanning; meanwhile, left and right reference vertex pairs of the crop row bounding rectangle are determined; crop row bounding rectangle extraction is realized based on left and right reference vertex pair matching; based on crop row bounding rectangles in the same row and the same column, bounding rectangle extraction of isolated left and right reference vertex pairs is realized, column under-segmentation element segmentation and column alignment, row under-segmentation element segmentation and row alignment and zero element segmentation operation are performed on an obtained bounding rectangle matrix, and finally the crop row bounding rectangle of the whole image is extracted. The method can achieve the segmentation of the crop row in the soybean crop image photographed by the unmanned plane, and lays a technical foundation for the implementation of the soybean breedingand seed selection based on the indexes of the color, area and height of the crop row through the image photographed by the unmanned plane.

Description

technical field [0001] The invention relates to an image processing method, in particular to a method for segmenting rows of soybean crops in an aerial image taken by a drone. Background technique [0002] Soybean is an important economic crop. In order to increase the yield of soybean, the breeding and selection of soybean is the key, so it has very important application value. [0003] At present, soybean breeding and selection mainly rely on experts' personal experience and manual measurement, while soybean breeding and selection are often carried out among tens of thousands of varieties. The breeding process is very cumbersome and the selection results vary with the subjective experience of individual experts. has a difference. Therefore, there is a great need for methods that help automate the soybean breeding and selection process. As a good solution to automate the process of soybean breeding and selection, the method of using drones to take images of soybean crops...

AI Technical Summary

Problems solved by technology

At present, this work mainly relies on manual operations, which is time-consuming and labor-intensive. There is an urgent need for an automatic crop row image segmentation method for soybean aerial images.

Images