A visual recognition system and method for internal thread of pipe fittings based on gray level co-occurrence matrix

A gray-scale co-occurrence matrix and visual recognition technology, applied in image data processing, instruments, calculations, etc., can solve the problems of low stability of internal thread recognition algorithm, complex hardware system, slow recognition speed, etc. Simple composition and high stability

Active Publication Date: 2017-11-03
HARBIN INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to solve the problems of low stability, slow recognition speed and complicated hardware system required by the existing internal thread recognition algorithm, and propose a visual recognition system and method for internal thread of pipe fittings based on gray level co-occurrence matrix

Method used

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  • A visual recognition system and method for internal thread of pipe fittings based on gray level co-occurrence matrix
  • A visual recognition system and method for internal thread of pipe fittings based on gray level co-occurrence matrix
  • A visual recognition system and method for internal thread of pipe fittings based on gray level co-occurrence matrix

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specific Embodiment approach 1

[0030] Specific implementation mode one: combine figure 1 Describe this specific embodiment, a visual recognition system for internal thread of pipe fittings based on gray scale co-occurrence matrix, characterized in that: the visual recognition system for internal thread of pipe fittings based on gray scale co-occurrence matrix consists of a host computer, a high-definition camera and an LED light source ;The upper computer is connected with the high-definition camera; the LED light source is an intensity-adjustable light source and is used to establish a lighting environment; the high-definition camera is used to capture images; the upper computer is used to control the high-definition camera for image acquisition and image processing.

specific Embodiment approach 2

[0031] Specific implementation mode two: combination figure 2 To illustrate this specific implementation method, a method for visual recognition of internal thread of pipe fittings based on gray scale co-occurrence matrix is ​​specifically carried out according to the following steps:

[0032] Step 1. Before the internal threaded pipe fitting is recognized for the first time, adjust the intensity of the LED light source until the image of the internal thread of the pipe nozzle captured by the high-definition camera is the clearest. The subsequent identification process does not need to adjust the intensity of the LED light source again. After adjusting the intensity of the LED light source, turn on the host computer The visual recognition program initializes the camera. During this process, the program automatically collects and saves a background image through the high-definition camera;

[0033] Step 2. The upper computer collects an original image of the internally threade...

specific Embodiment approach 3

[0043] Specific implementation mode three: combination image 3 Describe this specific embodiment. The difference between this embodiment and specific embodiment 2 is that in the step 3, the original image of the internally threaded pipe fitting port collected in the step 2 and the background image collected and saved in the step 1 are subjected to image subtraction, thereby Eliminate the background on the original image of the internally threaded pipe fitting port, and only retain the image of the internally threaded pipe fitting port; the specific process is:

[0044] Image subtraction is represented by the following formula:

[0045] F(x,y)=I(x,y)-G(x,y)

[0046] In the formula, I(x,y) is the original image of the internally threaded pipe fitting collected by the camera, G(x,y) is the pre-stored background image, and F(x,y) is the port image of the internally threaded pipe fitting after removing the background.

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Abstract

The invention relates to a pipe fitting internal thread vision identification system and method based on a gray scale co-occurrence matrix, and aims to solve the problems that an existing internal thread identification algorithm is low in stability, the identification speed is low, and a required hardware system is complex. The method is realized by the following technical scheme of: 1, collecting and storing a background image; 2, collecting an internal thread pipe fitting original image; 3, reserving an internal thread pipe fitting area through image subtraction; 4, obtaining a binary image of an internal thread pipe fitting port; 5, obtaining an internal thread pipe fitting port circle; 6, cutting out an ROI area; 7, obtaining an edge binary image; 8, solving energy value attributes of the gray scale co-occurrence matrix; and 9, judging whether the collected internal thread pipe fitting port is internally provided with a thread. The pipe fitting internal thread vision identification system and method are applied to the field of pipe fitting internal thread identification.

Description

technical field [0001] The invention relates to a visual recognition system and method for internal thread of a pipe fitting based on a gray scale co-occurrence matrix. Background technique [0002] Threaded connection is a widely used detachable connection, which has the characteristics of simple structure, reliable connection and convenient disassembly. As a typical threaded member, the component with internal thread at the port widely exists in tubular connection structures in daily life, such as bottle caps, plastic pipes, cabinet adjustment feet, etc. [0003] In the assembly process of the internal thread connection, the automation operation has been initially realized, but in some cases there are still technical limitations. For example, during the production and assembly process of the two threaded components of the cabinet adjustment feet, the internally threaded pipe fittings produced from the injection molding machine are sent into the assembly feeder in a disord...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/136
CPCG06T7/0008G06T2207/20104
Inventor 靳万鑫高会军尹珅王光孙昊杨宪强
Owner HARBIN INST OF TECH
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