Corn ear image grain segmentation method

A corn ear and image technology, which is applied in the field of computer image processing, can solve the problems of not considering the characteristics of pixels, the segmentation and recognition accuracy and poor precision of corn kernels, and achieve the effect of improving accuracy and precision

Active Publication Date: 2013-04-03
BEIJING RES CENT FOR INFORMATION TECH & AGRI
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Problems solved by technology

The existing image processing methods generally use the pixels in the image as the basic features, without considering the characteristics of the target itself re

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  • Corn ear image grain segmentation method
  • Corn ear image grain segmentation method

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[0049] The specific embodiments of the invention will be further described below with reference to the accompanying drawings and embodiments. The following examples are only used to illustrate the present invention, but not to limit the scope of the present invention.

[0050] In the prior art, an image processing method is used to test corn ears, which is generally carried out for a single corn ear image, and uses limited information to derive as many corn ear characteristic parameters as possible, which has the advantages of simplicity, convenience and speed. The invention is mainly aimed at improving the grain segmentation method of a single corn ear image, thereby improving the accuracy and precision of the detection of the characteristic parameter of the corn ear.

[0051] Flow chart such as figure 1 A method for segmentation of corn ear image grains shown in the main steps of:

[0052] S1. Under certain lighting conditions, the center axis of the corn ear is vertically...

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Abstract

The invention relates to the technical field of computer image processing, in particular to a corn ear image grain segmentation method. The method includes the steps: S1, combining the morphology algorithm to preprocess a corn ear image; S2, utilizing a radial distortion correction method for processing the image obtained in the step S1; and S3, according to a hierarchical threshold segmentation algorithm, segmenting the image obtained in the step S2, and generating a final segmentation result of the corn ear image. Firstly, the radial distortion correction algorithm is used for eliminating radial distortion of the corn ear image to enable grain shape information on the corn ear image to be restored to the utmost extent, and secondly, the hierarchical threshold segmentation method is used for segmenting the processing corn ear image so that the problem that grains in different color and of different types are different to segment is solved. Therefore, accuracy and precision of corn ear image grain segmentation are improved greatly, and a strong technical support is provided for statistics and analysis of corn variety characteristics and morphological characteristics.

Description

technical field [0001] The invention relates to the technical field of computer image processing, in particular to a method for segmenting corn ear images and grains. Background technique [0002] The traditional test of corn ear varieties requires manual measurement and calculation of various index parameters of corn ears, and then statistics and analysis of the characteristics and morphological characteristics of corn varieties. The traditional test process is repetitive, time-consuming, and laborious. The measurement of index parameters is heavily dependent on the subjective judgment of the staff. There are large errors in the obtained data, and the standardization of the test process is low. With the in-depth penetration and application of computer and information technology in the agricultural field, it has become a trend to use computer image processing technology for automatic seed testing. The image-based automatic seed test method can greatly reduce labor costs, im...

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Application Information

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IPC IPC(8): G06T7/00
Inventor 杜建军郭新宇王传宇肖伯祥吴升
Owner BEIJING RES CENT FOR INFORMATION TECH & AGRI
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