Plant leaf segmentation method

Abstract

The invention discloses a plant leaf segmentation method, and relates to the field of image processing. The method comprises the steps that a sample data set is constructed, sample images in the sample data set are inputted into a convolutional neural network, the convolutional neural network comprises a Backbone network, an RPN network and a plurality of cascaded blade segmentation modules, each blade segmentation module comprises a ROIAlign network and a Head network, each Head network comprises a classification branch, a segmentation branch and a detection branch, a plant leaf segmentation model is obtained through training of the sample data set based on a convolutional neural network, a to-be-segmented image is input into the plant leaf segmentation model, a leaf segmentation result of the to-be-segmented image is obtained, and the to-be-segmented image can adopt a multi-scale segmentation strategy. The method can be used for effectively segmenting sheltered leaves, unclear-edge leaves and small-scale leaves, and the application of deep learning in the field of plant leaf segmentation is promoted.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a plant leaf segmentation method. Background technique [0002] In recent years, there has been increasing interest in obtaining plant phenotypic information using non-contact methods. Leaf is an important part of plant phenotype, and the most important part of obtaining leaf information is to segment two-dimensional leaf images. Instance segmentation of multiple leaves in a picture, the purpose is to detect and describe the different leaves appearing in each picture, and calculate the mask of each leaf, which is a hot research direction of plant phenotype exploration. [0003] At present, the method based on deep learning has been used in the field of plant leaf segmentation, but at the present stage, there is still the phenomenon that the leaves occlude each other in the leaf segmentation, resulting in low segmentation accuracy, and the existing technology cannot meet...

AI Technical Summary

Problems solved by technology

[0003] At present, the method based on deep learning has been used in the field of plant leaf segmentation, but at the present stage, there is still the phenomenon of leaves occluding each other in the leaf segmentation, resulting in low segmentation accuracy, and the existing technology cannot meet the precise segmentation of plant leaves.

Images