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A technology of corn ear and counting method, applied in the field of image processing, can solve the problems of being unsuitable for promotion and use, high price, difficult to flow and use, etc.
Active Publication Date: 2014-05-21
CHINA AGRI UNIV
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However, the price of this kind of instrument is too high, the volume and weight are large, and it is not easy to flow and use, so it is not suitable for promotion and use in actual production.
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Embodiment 1
[0063] provides a corn ear kernel count as figure 1 As shown, the method includes:
[0064]Step S1, obtaining a corn ear grain estimation model; wherein the corn ear grain estimation model is used to represent the functional relationship between the number of corn ear grains on one side of the corn and the number of all ear grains;
[0065] Step S2, obtaining a single-sided image of corn, and performing image preprocessing on the single-sided image to obtain a corresponding grayscale image;
[0066] Step S3, performing multi-threshold segmentation on the grayscale image obtained in step S2 to obtain a corresponding binary image;
[0067] Step S4, count the connected regions with the same gray value, and obtain the number of connected regions corresponding to the gray value used to represent the corn grain;
[0068] Step S5, determine the number of kernels in all ears according to the number obtained in step S4 and the corn kernel estimation model in step S1.
[0069] By ado...
Embodiment 2
[0120] Based on the same concept, the present invention also provides a corn ear grain counting device, such as Figure 5 As shown, the device includes:
[0121] The modeling module 501 is used to obtain an estimation model of corn ear grains; wherein the corn ear grain estimation model is used to represent the functional relationship between the number of ear grains on one side of corn and the number of all ear grains;
[0122] Image preprocessing module 502, is used for obtaining the single-sided image of corn, and carries out image preprocessing to described single-sided image, obtains corresponding grayscale image;
[0123] An image segmentation module 503, configured to perform multi-threshold segmentation on the grayscale image obtained by the image preprocessing module 502, to obtain a corresponding binary image;
[0124] The counting module 504 is used to count the connected regions with the same gray value, and obtain the number of connected regions corresponding to ...
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Abstract
The invention provides a counting method and a counting device for corn ear grains. The method comprises the following steps: step S1, obtaining an estimation model for the corn ear grains, wherein the estimation model for the corn ear grains is used for showing a function relation between the number of the ear grains on the single surface of corn and the number of all ear grains; step 2, obtaining the single sided image of the corn, and preprocessing the single sided image to obtain a corresponding gray level image; step S3, performing multi-threshold segmentation on the gray level image obtained in the step S2, so as to obtain a corresponding binary image; step S4, counting communicating areas with the same gray values, and obtaining the number of the communication areas corresponding to the grey values for showing the corn grains; and step S5, determining all ear grains according to the number obtained in the step S4 and the corn grain estimation model in the step S1. By adopting the counting method for the corn ear grains, the corn ear grains can be quickly and conveniently counted.
Description
technical field [0001] The invention relates to image processing technology, in particular to a method and device for counting corn ear kernels. Background technique [0002] Maize breeding is to use the heterozygosity of maize cross-pollination and genetic basis to carry out hybridization experiments on a large number of inbred lines and hybrid combinations, and finally select individual excellent hybrids for production. Among them, the seed yield rate of the ear is an important indicator for judging the quality of corn varieties. [0003] At present, the work of counting corn ears and grains in my country is mainly manual. This method not only has a huge workload, but also has large errors in reading data, and it is impossible to re-read the read data repeatedly, and it is difficult to verify its correctness when a problem occurs. Developed countries such as Europe and the United States study and use test equipment. However, the price of this kind of instrument is too h...
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