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Rapid arc detection method

A detection method and arc technology, applied in image data processing, instrumentation, calculation, etc., can solve problems such as poor robustness, large amount of calculation, and long calculation time

Active Publication Date: 2017-08-22
HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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Problems solved by technology

However, the arc detection error of the segment fitting method is related to the size of the segment, and in order to improve the accuracy, the segment is generally smaller, but this will bring a large amount of calculation and a long calculation time.
The detection of the fitted line angle method depends on the setting of the angle threshold, which has poor robustness
Arc merging is to merge arcs with similar fitting parameters to avoid repeated detection. The method is mainly based on the clustering method based on the distance of the circle parameters. This method depends on the setting of the distance threshold. This fixed threshold often depends on the prior knowledge, and is not suitable for merging circles under different unit coordinates

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Embodiment Construction

[0053] refer to figure 1 , in the present embodiment, a kind of rapid arc detection method is mainly to the detection of the object with arc boundary, and comprises the following steps:

[0054] Step 1. Edge image acquisition:

[0055] The Canny edge detection operator has a better detection effect than other edge detection operators (Sobel, Roberts, Prewitt, etc.) in almost all scenes, so the edge detection operator Canny is used to process the original image to obtain the initial edge image, However, the edges obtained by using Canny are unordered. In order to obtain connected ordered edges, the connected domain labeling algorithm is used to obtain the continuous edges of the initial edge image. This paper uses the seed filling algorithm, which only needs one traversal. get connected edges. In order to remove tiny noise, the continuous edges whose edge length is less than the threshold are deleted, and the number of edge points less than 30 will be filtered out as edge noi...

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Abstract

The invention discloses a rapid arc detection method. The method is characterized by comprising steps of 1, edge image acquisition; 2, decomposition of edges into multiple candidate arcs; 3, arc combination; and 4, arc screening and detection. According to the invention, the method is fast in speed of the adopted detection algorithm, highly in precision, high in robustness and widely applicable to detection of all kinds of objects including arc boundaries in the field of machine vision.

Description

technical field [0001] The invention relates to a detection method in the field of machine vision, in particular to a rapid detection method for an object containing a circular arc boundary. Background technique [0002] Arc is a feature contained in many workpieces, and it is also one of the key detection features. The detection of arcs includes traditional detection methods based on mechanical devices and detection methods based on machine vision. The former often has disadvantages such as poor detection accuracy, slow speed, and insufficient robustness, while the latter is becoming a hot spot in industrial detection. [0003] In the arc detection method based on machine vision, it is mainly divided into the method based on hough transform and the method based on curve fitting. The method based on hough transform has the characteristics of high robustness and strong anti-noise ability, but it has the characteristics of slow calculation speed, The shortcomings of large sto...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/64G06T7/13G06T7/181
Inventor 谭治英周波杨雪梅梁兴灿
Owner HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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