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A batch repair method aiming at damaged plant leaves

A plant leaf and repair method technology, applied in image enhancement, image analysis, instruments, etc., can solve the problems of inaccurate image data, difficulty in batch processing, and repair of damaged plant leaf image data, achieving high repair accuracy, To achieve the effect of batch processing operations

Active Publication Date: 2019-01-18
NORTHEAST AGRICULTURAL UNIVERSITY
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AI Technical Summary

Problems solved by technology

[0002] When collecting plant leaf image data, due to the picking process or the plant's own disease or insect gnawing will cause the leaves to be incomplete, which will cause inaccurate image data, which requires repairing the collected plant leaf images
[0003] The existing technology does not specifically repair the image data of damaged plant leaves, and in the prior art, it is necessary to construct a mask for each image to be repaired in a targeted manner when performing image restoration. For the individual differences of different leaves, It is difficult to achieve batch processing by directly applying the image inpainting method of the existing technology

Method used

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  • A batch repair method aiming at damaged plant leaves
  • A batch repair method aiming at damaged plant leaves
  • A batch repair method aiming at damaged plant leaves

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Embodiment Construction

[0027] specific implementation plan

[0028] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0029] A batch repair method for damaged plant leaves. After preprocessing the images of all damaged plant leaves, the area to be repaired in all preprocessed images is processed into the same color, and then this color is used to construct a mask to realize the repair of damaged leaves. Batch restoration of plant leaf images, the specific steps are as follows:

[0030] Step 1. Perform image preprocessing operations on the image data:

[0031] (1) Pre-processing: image reduction→grayscale→Gaussian filter→binarization;

[0032] Image reduction: In order to make different image data have the same size, the principle is to set the pixel matrix of the original image as M*N, and the pixel matrix of the reduced image as m*n, then the image needs to be divided into (M*N) / (m*n) small disjoint blocks of size, c...

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Abstract

The invention discloses a batch repair method aiming at damaged plant leaves. Firstly, image data is pretreated. The pretreatment comprises the following steps: image reduction -grayscale transformation - Gaussian filter - binarization; Contour trimming: canny edge detection -finding edge contour- circumscribing minimum quadrilateral - ROI region trimming; Watershed segmentation: foreground marking-background marking- unknown region marking- watershed segmentation; Then, the image to be repaired is replaced by the same color, and the mask of the region to be repaired is made. Finally, the repaired part is repaired by FMM algorithm. Compared with the prior art, the invention can complete the incomplete part of the leaf, has high repair accuracy, and avoids the influence of the leaf incomplete caused by the force majeure on the subsequent experiment. The invention solves the problem of batch production of a mask through a series of image preprocessing operations, and realizes batch processing operation of damaged plant leaves.

Description

technical field [0001] The invention relates to the technical field of information image repair, in particular to a batch repair method for damaged plant leaves. Background technique [0002] When collecting plant leaf image data, due to the picking process or the plant's own disease or insect gnawing will cause the leaves to be incomplete, resulting in inaccurate image data, which requires restoration of the collected plant leaf images. [0003] The existing technology does not specifically repair the image data of damaged plant leaves, and in the prior art, it is necessary to construct a mask for each image to be repaired in a targeted manner when performing image restoration. For the individual differences of different leaves, It is difficult to achieve batch processing by directly applying the image inpainting methods of the prior art. Contents of the invention [0004] The present invention aims at the damage or loss of part of the tissue caused by the force majeure ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/12G06T7/136G06T7/90
CPCG06T7/12G06T7/136G06T7/90G06T2207/20152G06T5/77G06T5/70
Inventor 于啸孙馨陆丽娜郑先哲刘成海于文会付俐人张中平荆永栋庞维建解佩勋
Owner NORTHEAST AGRICULTURAL UNIVERSITY
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