Instrument pointer image identification method of high-robustness rod

Abstract

The invention discloses an instrument pointer image identification method of a high-robustness rod, mainly comprising two phases including offline calibration and online identification. The offline calibration phase comprises the following steps of: collecting images, pre-treating the images, marking and learning, calibrating an instrument position, learning instrument characteristics, selecting a pointer identification method and parameters, establishing a database and storing a calibrated result. The online identification phase comprises the following steps of: collecting the images, pre-treating the images, positioning an instrument, adjusting the gray level of the instrument images, extracting the pointer and calculating readings of the pointer. The instrument pointer image identification method of the high-robustness rod, provided by the invention, is high in robustness, and has stronger robustness to the translation, the rotation and the shielding of the instrument, instrument deformation caused by light changes and different viewing angles, the change of an imaging size caused by different distances, and the like; and the pointer readings can be more accurately identified and the stable work under an actual environment is realized.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to a method for automatic recognition of readings of pointer meters, in particular to a method for recognizing pointer images of highly robust meters. Background technique [0002] Pointer instruments are widely used in industry. In power systems, industrial production, petrochemical and other fields, real-time monitoring or regular inspections are required to ensure normal parameters and stable system operation. The traditional monitoring and inspection methods rely on manual monitoring of instruments, which is a boring and cumbersome work that requires a lot of manpower, and the monitoring results are easily affected by subjective, which has many hidden dangers and inconvenience. [0003] With the development of image processing, it becomes possible for computers to replace humans for monitoring and inspection. Its core is to use image processing technology to obtain the r...

AI Technical Summary

Problems solved by technology

However, this method has high requirements on the environment. In actual situations, it is difficult to extract the scale line due to the influence of light, camera out of focus, etc., so it is difficult to locate the instrument

Accurate positioning of the instrument dial is an important prerequisite for pointer instrument recognition, but the methods described in the existing related patents are difficult to work stably under actual conditions

In addition to the precise positioning of the instrument, the existing patents do not consider the problem of light and the occlusion of the instrument. Therefore, the robustness is poor, which limits its use in actual environments.

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