A batch repair method for damaged plant leaves
A plant leaf and repair method technology, applied in image enhancement, image analysis, instruments, etc., can solve problems such as difficult to achieve batch processing, inaccurate image data, and image data restoration of damaged plant leaves, etc., to achieve batch processing operations, Repair the effect of high accuracy
Active Publication Date: 2022-07-26
NORTHEAST AGRICULTURAL UNIVERSITY
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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
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[0027] specific implementation
[0028] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments.
[0029] A batch repair method for damaged plant leaves. After preprocessing the images of all damaged plant leaves, the areas to be repaired in all preprocessed images are treated as the same color, and then a mask is constructed by using this color to realize the repair of damaged plant leaves. Batch restoration of plant leaf images, the specific steps are as follows:
[0030] Step 1: Perform image preprocessing on 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 to be M*N, and the pixel matrix of the reduced image to be m*n, then the image needs to be divided into (M*N) / (m*n) size disjoint small blocks, calculate the...
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The invention discloses a batch repair method for damaged plant leaves. First, image data is preprocessed, and the preprocessing includes preprocessing: image reduction→grayization→Gauss filtering→binarization; contour cutting: canny edge detection →Find edge contour → circumscribed minimum quadrilateral → ROI area cropping; watershed segmentation: mark foreground → mark background → mark unknown area → watershed segmentation; then replace the part to be repaired in the preprocessed image with the same color to make a to-be-repaired image The mask of the area, and finally use the FMM algorithm to repair the part to be repaired. Compared with the prior art, the present invention can complete the incomplete part of the blade, the repairing accuracy is high, and the influence of the incomplete blade caused by force majeure on subsequent experiments is avoided; the present invention solves the problem of masking through a series of image preprocessing operations. The problem of batch production of film realizes the batch processing operation of damaged plant leaves.
Description
technical field [0001] The invention relates to the technical field of information image restoration, in particular to a batch restoration 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 gnawing by insects, the leaves will be incomplete, resulting in inaccurate image data, which requires repairing the collected plant leaf images. [0003] The prior art 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 repair. It is difficult to realize batch processing by directly applying the image inpainting method of the prior art. SUMMARY OF THE INVENTION [0004] The present invention aims at the damage of the leaf itself or the loss of part of the tissue caused by force majeure in the process of collecting image data of plant ...
Claims
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IPC IPC(8): G06T5/00G06T7/12G06T7/136G06T7/90
CPCG06T5/002G06T5/005G06T7/12G06T7/136G06T7/90G06T2207/20152
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