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Method for counting number of reinforced steel bars based on computer vision

A technology of computer vision and statistical methods, applied in computer parts, calculations, counting objects, etc., can solve the problems of human eyes and brains easy to fatigue, high labor intensity, long time consumption, etc., to reduce labor intensity and error rate, meet the The effect of automatic production and high counting accuracy

Inactive Publication Date: 2016-02-03
SHAANXI UNIV OF SCI & TECH
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Problems solved by technology

In steel bar production enterprises or steel bar trading markets, after the steel bars are bundled, the on-site counting workers mainly use colored pens of different colors to mark multiple times to distinguish the counted and uncounted steel bars, which is not only time-consuming, labor-intensive, and inefficient. , and after a long time of high-intensity work, the human eyes and brain are prone to fatigue, and the counting error will greatly increase. Manual counting can no longer meet the needs of automated production

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  • Method for counting number of reinforced steel bars based on computer vision
  • Method for counting number of reinforced steel bars based on computer vision

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Embodiment Construction

[0021] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0022] see figure 1 , a method for counting the number of steel bars based on a binary image Euler number, comprising the following steps:

[0023] Step 1: Use the CCD camera to obtain the original color image of the cross-section of the steel tendon under test; since the image needs to be filtered and denoised in the later stage, the resolution does not need to be very high, generally 640*480 pixels can be used.

[0024] Step 2: Since the original image acquired by the CCD camera is a color image, for the convenience of subsequent processing, the original color image needs to be converted into a 256-color grayscale image. The steel bar storage link is usually dark, so the maximum value method is used to convert the original color image obtained in step 1 into an 8-bit 256-color grayscale image, that is, each color component R=G=B=max(R,G,B ) to ensure a gr...

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Abstract

The invention relates to a method for counting the number of reinforced steel bars based on computer vision, which comprises the steps of firstly acquiring an original color image of the cross section of a measured reinforced steel bar bundle, and converting the original color image into a 256-color gray image; then carrying out enhancement processing on the gray image by using a filtering window, selecting an appropriate threshold, and converting the enhancement processed image into a binary image which only has two colors which are black and white; and finally carrying out etching on the binary image by using an etching method, and calculating an Euler number of the etched binary image, wherein the value is the counted number of the reinforced steel bars. According to the invention, the whole process of counting for the reinforced steel bars is realized automatically, and the number of the reinforced steel bars can be counted in a short time, thereby reducing the labor intensity of workers and the error rate, improving the production efficiency, being high in counting accuracy and speed, and being capable of meeting requirements of automatic production.

Description

technical field [0001] The invention relates to an intelligent counting method realized by using computer technology and digital image processing technology, in particular to a method for counting the number of steel bars based on computer vision. Background technique [0002] The statistics of the number of steel bars is an important link in the process of steel production and sales. In steel bar production enterprises or steel bar trading markets, after the steel bars are bundled, the on-site counting workers mainly use colored pens of different colors to mark multiple times to distinguish the counted and uncounted steel bars, which is not only time-consuming, labor-intensive, and inefficient. , and after a long time of high-intensity work, the human eyes and brain are prone to fatigue, and the counting error will greatly increase. Manual counting can no longer meet the needs of automated production. Therefore, the research and development of statistical methods for the n...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06M9/00G06K9/00
Inventor 姚斌何立风赵晓
Owner SHAANXI UNIV OF SCI & TECH
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