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Corn kernel test analysis method based on image processing

An image processing and analysis method technology, which is applied in the field of corn seed analysis based on image processing, can solve problems such as high equipment requirements and image quality requirements, large errors in electromechanical equipment, and complicated manufacturing, so as to save labor costs and equipment cost, work efficiency improvement, and strong stability

Inactive Publication Date: 2017-01-04
ZHEJIANG TUOPUYUN AGRI SCI & TECH CO LTD
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Problems solved by technology

It overcomes the problems of low efficiency, error-prone, labor-intensive and electromechanical equipment, complex manufacturing, and high price of traditional artificial grain analysis. It also overcomes the poor segmentation effect and slow speed when image segmentation technology is applied to grain segmentation. Insufficient requirements and high image quality requirements

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  • Corn kernel test analysis method based on image processing
  • Corn kernel test analysis method based on image processing
  • Corn kernel test analysis method based on image processing

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Embodiment Construction

[0034] The specific implementation manner of the invention will be further described below in conjunction with the accompanying drawings. see figure 1 , the present invention mainly divides into four modules to the processing of grain image, and the first module is image processing module, and the method that mainly uses has smoothing filter method, maximum between-class variance method and morphological operation etc.; The grain center search module mainly uses morphology and distance transformation methods, etc.; the third module is the segmentation module of the cohesive grains, which mainly uses the features of the grain center point and the concave point to segment the cohesive grains, and uses the area feature to classify the image etc.; the fourth module is the image post-processing module, which is mainly to find the outer contour of the segmented grain and calculate parameters such as area, perimeter, and aspect ratio; the following describes these four parts and the ...

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Abstract

The invention discloses a corn kernel test analysis method based on image processing, relates to the technical field of computer image processing, and aims at better applying the image processing technology to corn kernel test analysis and overcoming the disadvantages of being low in speed, error-prone and high in the requirements for image taking equipment and image quality in image segmentation. The key points of the scheme are that step one, an image is preprocessed by using graying, filtering and noise reduction, binarization and open operation so that an ideal binary image is obtained; step two, the central position of the kernel is searched by using a distance transformation method; step three, classification and segmentation are performed on a kernel connecting domain by using the characteristics of the central position of the kernel and the area characteristics; and step four, the external contour parameters of the kernel are searched. The corn kernel test analysis method based on image processing can be applied to corn kernel test analysis and is put into application so that the method has the advantages of convenience and accuracy, and a powerful technical support is provided for the corn test.

Description

technical field [0001] The invention relates to the technical field of computer image processing, in particular to a method for testing and analyzing corn seeds based on image processing. Background technique [0002] Seed testing is also called seed selection, which refers to the activity of tracing the kinship and genetic characteristics of a certain species to achieve the technology of selecting excellent animal and plant varieties, which is of great significance to the development of the planting industry. In order to carry out scientific research experiments such as seed testing, the analysis of crop grains is an indispensable step, and the accuracy of grain analysis has a great impact on the results of seed testing. The use of digital image technology in agriculture started relatively late in China. In recent years, the importance of China's agricultural development has become more and more prominent. Among them, the use of digital image technology in seed testing tech...

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Application Information

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IPC IPC(8): G06T7/00G06T7/60
CPCG06T2207/30242
Inventor 朱旭华陈渝阳赵飞
Owner ZHEJIANG TUOPUYUN AGRI SCI & TECH CO LTD
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