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Blade image segmentation method, system, device and storage medium

An image segmentation and blade technology, applied in image analysis, image enhancement, image data processing, etc., can solve problems such as difficult production, image quality impact, occlusion, etc., to avoid false segmentation and improve accuracy.

Active Publication Date: 2022-06-21
SHANDONG UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the process of realizing the present disclosure, the inventors found the following technical problems in the prior art: most of the existing blade instance segmentation methods are based on a single blade in a single background, and it is difficult to apply to actual production
Real crop images have many leaves, and there are occlusions between them, and the image quality is also affected by the external environment such as lighting.

Method used

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  • Blade image segmentation method, system, device and storage medium

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Embodiment 1

[0030] This embodiment provides a leaf image segmentation method;

[0031] like figure 1 As shown, the leaf image segmentation method includes:

[0032] S101: Obtain the leaf image to be segmented;

[0033] S102: Perform clustering processing on the leaf image to be segmented to obtain a foreground image of the leaf image to be segmented;

[0034] S103: Process the foreground image of the leaf image to be segmented to obtain a primary foreground image and a secondary foreground image;

[0035] S104: Perform morphological segmentation on the main foreground image to obtain a roughly segmented image;

[0036] S105: Combine the roughly segmented image and the secondary foreground image to obtain a segmented leaf image.

[0037] As one or more embodiments, the specific steps of acquiring the leaf image to be segmented include: using a high-definition camera to photograph the leaf to be segmented to obtain the leaf image to be segmented.

[0038] As one or more embodiments, af...

Embodiment 2

[0074] This embodiment provides a leaf image segmentation system based on hierarchical clustering and distance watershed;

[0075] Leaf image segmentation system, including:

[0076] an acquisition module, which is configured to: acquire the leaf image to be segmented;

[0077] a clustering module, which is configured to: perform clustering processing on the leaf image to be segmented to obtain a foreground image of the leaf image to be segmented;

[0078] a foreground primary and secondary separation module, which is configured to: process the foreground image of the leaf image to be segmented to obtain a primary foreground image and a secondary foreground image;

[0079] a segmentation module, which is configured to: perform morphological segmentation processing on the main foreground image to obtain a roughly segmented image;

[0080] The merging module is configured to: merge the roughly segmented image and the secondary foreground image to obtain the segmented leaf imag...

Embodiment 3

[0085] This embodiment also provides an electronic device, including: one or more processors, one or more memories, and one or more computer programs; wherein the processor is connected to the memory, and the one or more computer programs are Stored in the memory, when the electronic device runs, the processor executes one or more computer programs stored in the memory, so that the electronic device executes the method described in the first embodiment.

[0086] It should be understood that, in this embodiment, the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors, DSPs, application-specific integrated circuits (ASICs), off-the-shelf programmable gate arrays (FPGAs), or other programmable logic devices. , discrete gate or transistor logic devices, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or th...

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Abstract

The present disclosure discloses a leaf image segmentation method, system, device and storage medium, comprising: acquiring a leaf image to be segmented; performing cluster processing on the leaf image to be segmented to obtain a foreground image of the leaf image to be segmented; and obtaining a foreground image of the leaf image to be segmented The image is processed to obtain the main foreground image and the secondary foreground image; the main foreground image is morphologically segmented to obtain a rough segmented image; the rough segmented image and the secondary foreground image are combined to obtain the segmented leaf image.

Description

technical field [0001] The present disclosure relates to the technical field of image segmentation, and in particular, to a blade image segmentation method, system, device and storage medium. Background technique [0002] The statements in this section merely mention background related to the present disclosure and do not necessarily constitute prior art. [0003] With the rapid development of computer science, image processing technology has been widely used in various industries. In the field of agriculture, image processing is mainly used for crop yield measurement, pest identification, growth period analysis, etc. Image segmentation is a key step in image processing. How to quickly and accurately segment crop leaves from crop images (called leaf instance segmentation) is a very challenging problem. In the process of realizing the present disclosure, the inventors found the following technical problems in the prior art: most of the existing blade instance segmentation m...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/10G06K9/62G06V10/762
CPCG06T7/10G06T2207/10004G06T2207/20032G06T2207/20152G06T2207/30188G06T2207/20221G06F18/23
Inventor 杨公平刘一锟孙启玉刘玉峰谢丽娟
Owner SHANDONG UNIV
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