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Method and system for automatically recognizing images of corn stems and leaves

An automatic identification, corn stalk technology, applied in the field of image processing, can solve the problems of missing line segment endpoints and length information, unfavorable real-time application, large amount of calculation, etc.

Inactive Publication Date: 2016-06-08
SHANDONG AGRICULTURAL UNIVERSITY
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Problems solved by technology

In the prior art, the hough transform line detection method is used to detect the color difference R-B image of corn stalks to realize the recognition of the stalks. Although the line detection method based on Hough transform is a mature algorithm, the calculation amount is relatively large, which is not conducive to real-time Line segment endpoint and length information lost during apply and transformation

Method used

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  • Method and system for automatically recognizing images of corn stems and leaves
  • Method and system for automatically recognizing images of corn stems and leaves
  • Method and system for automatically recognizing images of corn stems and leaves

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Embodiment Construction

[0020] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0021] Such as figure 1 As shown, a kind of corn stalk identification method described in the present invention comprises the following steps:

[0022] (1) Collect RGB color images;

[0023] (2) converting the RGB color image into a grayscale image;

[0024] In this step, grayscale processing is performed on the collected RGB color image, and the color image is converted into a grayscale image. Let the original color of a point in the color image be RGB(R,G,B), and it can be converted to grayscale by the following methods:

[0025] 1) Floating point algorithm: Gray=R*0.3+G*0.59+B*0.11;

[0026] 2) Integer method: Gray=(R*30+G*59+B*11) / 100;

[0027] 3) Shift method: G...

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Abstract

The invention discloses a method for recognizing stalks and leaves of corns. The method includes steps of (1), acquiring an RGB (red, green, blue) color image; (2), converting the RGB color image into a grayscale image; (3), preprocessing the grayscale image; (4), converting the preprocessed grayscale image into a binary image by means of binarization processing; (5), performing straight line detection for the binary image; and (6), computing shape features of different zones, and recognizing the acquired RGB color image according to the shape features of the different zones to finally acquire a stalk target. The different zones are acquired by means of detecting the binary image and are separated from one another by straight lines. The method has the advantages that stalks of the corns can be accurately recognized in real time, and problems of damaging equipment or hurting corn plants and the like due to blockage of stalks when an automatic fertilizer applicator is used for fertilization operation can be prevented.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for identifying corn stalks. Background technique [0002] During the corn fertilization process, the fertilization device on the automatic fertilizer spreader will collide with "obstacles" such as corn stalks, resulting in equipment damage or injury to crops. Therefore, real-time and accurate identification and positioning of these "obstacles" is required , causing the automatic fertilizer applicator to change its movement route or stop before it may collide with the "obstacle". [0003] This identification and positioning technology can be realized through machine vision, using cameras to collect images, and using computers, DSP chips and other equipment to process the images. In the prior art, the hough transform line detection method is used to detect the color difference R-B image of corn stalks to realize the recognition of the stalks. Although the line d...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/54
Inventor 陈国庆宁堂原张吉旺董树亭
Owner SHANDONG AGRICULTURAL UNIVERSITY
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