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High-accuracy automatic reading method for fuzzy photos of pointer table

A high-accuracy, automatic reading technology, which is applied in image data processing, character and pattern recognition, instruments, etc., can solve the problems of decreased reading accuracy of blurred photos of pointer meters, etc.

Pending Publication Date: 2021-07-06
HUAXIA GENERAL PROCESSOR TECH INC +1
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  • Abstract
  • Description
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Problems solved by technology

[0007] The invention provides a high-accuracy automatic reading method for blurred photos of pointer meters, which is used to solve the problem of serious decline in reading accuracy of blurred photos of pointer meters by traditional algorithms

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  • High-accuracy automatic reading method for fuzzy photos of pointer table
  • High-accuracy automatic reading method for fuzzy photos of pointer table
  • High-accuracy automatic reading method for fuzzy photos of pointer table

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Embodiment Construction

[0068] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0069] The disadvantage of the prior art is that the adaptability to the photo image quality is not strong, and only clear photos or photos with low blur can be accurately read. The root cause of this problem is that the pixel gray information on the edge of the pointer and its surroundings is not fully and reasonably used. These pixels are binarized to participate in or not to participate in the accumulation process when performing Hough space energy accumulation. All pixels involved in energy accumulation have the same weight. In fact, the high-gray-value pixel at the center of the pointer should have a higher accumulation weight because of its high reliability; w...

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Abstract

The invention relates to the field of machine vision in the artificial intelligence technology, in particular to a high-accuracy automatic reading method for a fuzzy photo of a pointer table, which comprises the following steps of: step 1, inputting a picture and template information, wherein the picture is an actual picture of the pointer meter shot by a fixed camera in an industrial scene, and the template information is key point information calibrated in advance based on the picture and comprises dial plate circle center coordinates and measuring range zero point / full scale point / unit scale point coordinates; step 2, preprocessing the image; step 3, constructing a Hough space; step 4, carrying out Hough space quantization energy accumulation; step 5, extracting multiple maximum value points; step 6, eliminating maximum value abnormal points; step 7, performing weighted averaging on rho-theta; step 8, determining coordinates of a scale intersection point; step 9, outputting the reading of the pointer meter; a gray quantization mode that threshold difference values are reserved by over-threshold pixel points is adopted, and quantized gray values participate in Hough space energy accumulation to replace traditional single-value accumulation.

Description

technical field [0001] The invention relates to the field of machine vision in artificial intelligence technology, in particular to a high-accuracy automatic reading method for blurred photos of pointer meters. Background technique [0002] The pointer table has the characteristics of simple structure, low price, and less susceptible to interference. It is used in many industrial production scenarios. With the development of image processing technology, more and more attention and research have been paid to the automatic reading technology of pointer meters, and its reading speed and accuracy are getting higher and higher, gradually replacing manual reading, and realizing the improvement of industrial production efficiency. At present, there are two main categories of methods for automatic reading of pointer meters: one is based on deep learning methods, which use convolutional neural networks to train a large number of data sets to realize automatic recognition of pointer s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/11G06T7/136G06T7/168G06K9/46
CPCG06T7/11G06T7/168G06T7/136G06T2207/20032G06T2207/20061G06V10/462G06V2201/02G06T5/70
Inventor 余佳潘云飞刘铁山
Owner HUAXIA GENERAL PROCESSOR TECH INC
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