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A Canny operator-based registration graph edge extraction method

An edge extraction and image registration technology, which is applied in the field of image recognition, can solve the problem of inability to accurately process image edges, achieve the effects of fewer detection objects, lower probability of false detection, and high detection accuracy

Pending Publication Date: 2019-05-28
BEIJING AEROSPACE FUDAO HIGH TECH
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Problems solved by technology

[0008] For this reason, the present invention provides a kind of registration map edge extraction method based on Canny operator, to overcome the problem that image edge cannot be accurately processed in the prior art

Method used

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  • A Canny operator-based registration graph edge extraction method
  • A Canny operator-based registration graph edge extraction method
  • A Canny operator-based registration graph edge extraction method

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Embodiment 1

[0070] This embodiment will detect whether the handwheel parts in the field equipment are missing, including three parts: registration of the inspection map and the reference map based on SURF features, edge extraction of the registration map based on the Canny operator, and generalized Hough transform Target recognition of parts and components; when detecting on-site equipment, first use the SURF algorithm to register the collected inspection map and reference map, and use the Canny operator to extract the edge of the registration map after the registration is completed, so as to Output the edge image; after the output is completed, use the generalized Hough transform to calculate the mutual information between the edge image and the template image, and judge whether it is missing according to the calculated mutual information value. It can be understood that the detection method described in this embodiment can be used not only to judge whether the handwheel in the equipment ...

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Abstract

The invention relates to a Canny operator-based registration image edge extraction method. The method comprises the following steps of: A, smoothing a registration image which is registered on site; B, judging the brightness of the edge points, and determining the gradient intensity and the gradient direction of the registration image; C, performing non-maximum suppression on each local gradient region in the global gradient map in the step B, and determining edges in the registration map; Step D, further extracting real edge points in the registration image by utilizing a threshold method; And E, carrying out connectivity analysis on the edge points subjected to threshold processing to form a final edge image. According to the method, the Canny operator is used for carrying out edge extraction on the target on the registration image, smoothing processing is carried out on the image, noise is reduced, and error detection and omission in the image edge extraction process can be prevented while the detection precision is improved.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to an edge extraction method of a registration image based on a Canny operator. Background technique [0002] With the rapid development of computer technology, target recognition technology has rapidly developed into a very important tool and means, and its application range is becoming wider and wider. However, due to the influence of the environment, shooting angle and its own situation, the targets of related parts such as nuts and handwheels are usually difficult to express analytically, making their identification a very difficult task. So far, researchers have aimed at the target recognition of nut handwheel related parts, mainly for the recognition of nut handwheel related parts taken from the front under ideal conditions. The main application method is circular Hough transform to detect nut handwheel related parts. The inner circle of the component, the color sep...

Claims

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Application Information

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IPC IPC(8): G06T7/13G06T7/136G06T7/30G06T7/00G06K9/46G06K9/44
Inventor 赵戊辰
Owner BEIJING AEROSPACE FUDAO HIGH TECH
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