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Instrument reading identification method based on machine vision

A recognition method and machine vision technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as the influence of instrument number recognition

Active Publication Date: 2016-08-24
ZHEJIANG UNIV
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Problems solved by technology

[0009] Aiming at the deficiencies in the existing technology, the present invention proposes a machine vision-based instrument representation number recognition method, aiming to use machine learning methods to solve the problem of instrument representation number recognition under working conditions such as instrument image posture, scale, and illumination Impact

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  • Instrument reading identification method based on machine vision
  • Instrument reading identification method based on machine vision
  • Instrument reading identification method based on machine vision

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Embodiment Construction

[0047] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0048] Such as figure 1 As shown, the present invention needs some preparatory work before the number recognition. First, collect N sample images of the target instrument at the industrial site, and then select one sample as a standard image, and mark more than 4 recurring marker points on each sample image, and the number of marker points is generally taken as a typical value of 8; all images are simulated Transform to the standard image posture, collect the image template of numbers 0 to 9; record the fan-shaped area where the pointer is located and the rectangular area where the number is located on the standard image at the same time;

[0049] Such as figure 2 As shown, the meter image to be recognized and displayed in the present invention:

[0050] (1) First, the affine transformation matrix between the instrument image and the standard instru...

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Abstract

The invention discloses an instrument reading identification method based on machine vision. The method comprises the following steps: 1) for an instrument image waiting for identifying the reading, regressing affine transformation matrixes of the instrument image and a standard instrument image through a cascaded pose regression machine so as to transform the instrument image waiting for identifying the reading to the posture of the standard instrument image through affine transformation to realize normalization of the instrument posture; 2) utilizing a digital identification method based on geometrical constraint to perform digital reading identification on the posture-normalized instrument image obtained in the step 1); and 3) utilizing a pointer reading identification method based on HOG features to perform pointer reading identification on the posture-normalized instrument image obtained in the step 1). The digital reading and pointer reading identification method provided by the instrument reading identification method based on machine vision can solve the posture and scale problem for instrument reading identification, and can improve the accuracy rate for digital reading identification and the accuracy for reading identification of the pointer reading.

Description

technical field [0001] The invention belongs to the field of digital image processing and instrumentation number recognition, and in particular relates to a machine vision-based instrumentation number recognition method. Background technique [0002] In industrial fields such as chemical plants, substations, and oil refineries, a large number of on-site indicating instruments are installed. These instruments do not have remote transmission functions and require on-site readings to monitor the operating conditions of industrial sites. It is time-consuming, laborious and inefficient to record the number of on-site instruments by manual inspection. Therefore, the automatic recognition technology of instrument numbers based on machine vision has broad application prospects. [0003] The machine vision-based field instrument indication recognition problem is generally divided into two situations, one is pointer indication recognition, and the other is digital indication recogniti...

Claims

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Application Information

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IPC IPC(8): G06K9/46
CPCG06V10/443
Inventor 熊蓉方立王军南
Owner ZHEJIANG UNIV
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