Knob identification method based on digital image processing

Abstract

The invention discloses a knob identification method based on digital image processing. The method comprises: an image of the instrument cabinet is shot by utilizing a fixed position; extracting an area image appearing in the knob; necessary preprocessing is carried out on the image; then, Canny edge detection is used; obtaining all edge contours in the instrument panel image; then, Hough circle detection is carried out; detecting the contour of a knob circle; meanwhile, the center position and radius are determined; establishing a rectangular coordinate system by taking the circle center as an original point; and finding a white point area in the image by using the size of the comparison pixel value, calculating the distance from the area to the original point, comparing the distance withthe radius, removing the white point area larger than the radius and the screened white area, namely the pointer white point area, taking the center of the pointer white point area as the coordinateof the pointer white point, solving the knob rotation angle, and obtaining knob state information. Through using the detection technology, the method has the characteristics of good anti-noise performance, high efficiency, rapidness and accuracy in image processing, and has very high practicability and wide applicability.

Description

technical field [0001] The invention relates to a knob recognition method, in particular to a knob recognition method based on digital image processing. Background technique [0002] Knobs are widely used in electrical instruments, and are simple in structure and easy to use. [0003] At present, the manual method is mainly used to read the knob in China. For the knob with high precision, this method is limited by human subjective factors, such as observation angle, observation distance, human eye fatigue, etc., and is unstable. , the reliability is not high, and the data processing workload is heavy, and the recognition efficiency is low. Contents of the invention [0004] In order to solve the deficiencies of the prior art, the purpose of the present invention is to provide a knob identification method based on digital image processing, which can accurately and effectively identify the state of the knob. [0005] In order to achieve the above object, the present invent...

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Problems solved by technology

[0003] At present, the manual method is mainly used to read the knob in China. For the knob with high precision, this method is limited by human subjective factors, such as observation angle, observation distance, human eye fatigue, etc., and is unstable. , the reliability is not high, and the workload of data processing is heavy, and the recognition efficiency is low

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