Machine vision method for identifying dial plate information of multi-pointer instrument

Abstract

The invention provides a machine vision method for identifying the dial plate information of a multi-pointer instrument. The machine vision method mainly comprises the following steps of: acquiring an image containing information of the multi-pointer instrument, preprocessing the acquired image, positioning and marking a dial plate of the multi-pointer instrument in the image, segmenting the dial plate of the instrument in the image of the dial plate of the multi-pointer instrument, carrying out mathematical morphological filtering, extracting pointer characteristics in the dial plate by means of a human-eye-vision based jumping searching pointer and a human-eye-vision staring characteristic, calculating readings of the pointers of the instrument and the like. The machine vision method provided by the invention can be used for automatically carrying out vision identification on the information of the dial plate of the multi-pointer instrument in one image, and has the advantages of high degree of automation, accuracy in measurement, high efficiency and the like; and compared with the detection method in which one image and one instrument are provided in single-pointer instrument detection at present, the invention improves the utilization rate of the pointer instrument detection equipment and reduces the instrument detection cost.

Description

technical field [0001] The invention belongs to the technical field of machine vision detection, is an application of image processing and recognition technology, and in particular relates to a machine vision method for recognizing information on a plurality of pointer instrument dials. Background technique [0002] In terms of instrument detection, at present, it mainly relies on manual observation, rough estimation methods, or partially realizes visual inspection of a single instrument. However, with the rapid development of industry, more and more instruments are used, and multiple instruments will be integrated or installed in a certain area for convenient observation and recording. At this time, relying on manual observation will cause human errors, visual errors, and low efficiency. However, using a camera to visually detect and identify a single instrument requires multiple cameras or manually controlling a camera to collect images of each instrument in sequence. Thi...

AI Technical Summary

Problems solved by technology

At this time, relying on manual observation will cause human errors, visual errors, and low efficiency. However, using a camera to visually detect and identify a single instrument requires multiple cameras or manually controlling a camera to collect images of each instrument in turn. Caused an increase in cost or a decrease in detection efficiency and accuracy, which is not conducive to production development

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