Notch circular arc part dimension visual detection method based on self-adapting region division

Abstract

The invention relates to a notch circular arc part dimension visual detection method based on self-adapting region division. The method comprises the following steps of (1) image binaryzation; (2) notch circular arc contour outline extraction; (3) circular arc point region self-adapting division; (4) inner and outer circular arc point separation; and (5) inner and outer circle fitting, calculation of the distance between O<in> and O<out> (namely the concentricity), and result output. A notch circular arc part pattern is obtained in the following way that the contour outline of a detected notch circular arc part is illuminated by a light source lamp house; an industrial camera shoots the illuminated notch circular arc part and enables the part to be completely shown in an image collected by the industrial camera; and image data is transmitted to a computer through a data wire. The notch circular arc part dimension visual detection method based on the self-adapting region division provided by the invention has the advantages that the extraction is performed by aiming at parts with a notch smaller than the semicircular arc dimension, incomplete inner and outer circular arc part or inner and outer circle arc points; self-adapting regulation can be realized on the concrete image condition; relevant parameters are output; and the real-time continuous and accurate industrial production detection requirements can be met.

Description

technical field [0001] The invention belongs to the computer field and relates to image processing, in particular to a method for visual detection of the size of a gap and arc part based on self-adaptive area segmentation. Background technique [0002] With the development of the economy, industrial production lines have higher and higher requirements for product quality control, product sizes are developing to small scales, measurement methods have transitioned from random inspection to online full inspection, and the requirements for product measurement and inspection are getting higher and higher. In the process of industrial production developing towards flexibility and automation, visual inspection technology has many applications in industrial inspection due to its non-contact, real-time, online, and high-precision characteristics, such as edge detection of sheet parts, tool wear detection, circular arc detection Dimensional measurement of shaped parts, etc. [0003] ...

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Problems solved by technology

[0006] By comparison, the focus of the above-mentioned patent documents is to accurately measure the size of relatively regular parts, but the applicability to the size measurement of arc parts with a certain radian is not strong.

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