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Industrial component visual edge detection method based on sine curve scanning

A sine curve, edge detection technology, applied in the field of image processing, can solve problems such as the influence of edge detection, and achieve the effect of high accuracy and strong anti-interference ability

Active Publication Date: 2021-03-30
CHANGZHOU MICROINTELLIGENCE CO LTD
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Problems solved by technology

In the case of surface light, the complex texture caused by lighting conditions, workpiece material and workpiece height change structure will have a great impact on edge detection

Method used

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  • Industrial component visual edge detection method based on sine curve scanning
  • Industrial component visual edge detection method based on sine curve scanning
  • Industrial component visual edge detection method based on sine curve scanning

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Embodiment Construction

[0051] In order to make the technical problems, technical solutions and beneficial effects solved by the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0052] See Figure 5 , a method for visual edge detection of industrial components based on sinusoidal curve scanning, the specific steps are as follows:

[0053] The first step, collecting grayscale images: using industrial cameras to collect grayscale images.

[0054] See figure 1 , the picture obtained from the industrial camera is an overall picture of the entire workpiece object.

[0055] See Figure 2.1 and Figure 3.1 , it is necessary to intercept the image of the part to be measured first, Figure 2.1 is intercepted figure 1 at A, Figure 3.1 is intercep...

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Abstract

The invention discloses an industrial component visual edge detection method based on sine curve scanning. The method comprises the following steps: gray level image collection: collecting the gray level image by using an industrial camera; Kirsch edge detection: performing gradient detection on the image, calculating gradients in eight directions by using a Kirsch edge detection operator, and selecting a maximum value as a result; threshold segmentation: after the gradient value of the image is obtained, segmenting the threshold of the gradient image, and selecting a specific threshold, so that two side regions of the edge are separated; sine curve scanning: sending a sine curve from a set starting point, and searching an edge along the sine curve; and screening edge points to obtain an edge point structure: taking the point on the sine curve as a circle center, and determining the edge point structure as an edge only when the number of edge pixels exceeds a certain threshold value ina circular range. Under the condition of surface light, adverse factors of complex textures caused by illumination conditions, workpiece materials and workpiece height change structures are overcome,and multi-project high-precision size measurement of complex workpieces is completed.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a sinusoidal scanning-based visual edge detection method for industrial components. Background technique [0002] Most of the existing edge detection technologies are based on the bottom surface light to obtain the contour of the workpiece, so that the workpiece and the bottom light have obvious light and shade differences in the pictures collected by the camera, and then obtain the contour of the workpiece through threshold segmentation and edge extraction (such as canny edge extraction) . In this case, as long as the value of the pixel point changes with the surrounding points, it can be judged as an edge, but there are also many limitations, the most obvious being that it cannot detect the edge of the workpiece surface. If it is necessary to perform surface defect detection and dimensional measurement at the same time to save a lot of inspection time, the edge extrac...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/13G06T7/136
CPCG06T7/0004G06T2207/10004G06T2207/30164G06T7/13G06T7/136
Inventor 邱增帅王肖亮王罡潘正颐侯大为
Owner CHANGZHOU MICROINTELLIGENCE CO LTD