Intelligent detection method and system for cracks around transverse hole

An intelligent detection and crack detection technology, applied in the field of image processing, can solve the problems of low detection accuracy, slow speed, slow manual detection speed, etc., and achieve the effect of real-time detection and high accuracy.

CN111325738APending Publication Date: 2020-06-23HUBEI UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2020-06-23

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Abstract

The embodiment of the invention provides an intelligent detection method and system for cracks around a transverse hole. The method comprises the following steps: acquiring a to-be-detected traverse hole ultrasonic image; inputting the ultrasonic image of the to-be-detected transverse hole into a pre-trained crack detection model to obtain a crack detection result output by the crack detection model; wherein the crack detection model generates an anchor frame through a K-Means + + algorithm and a K-Mediods clustering algorithm for the transverse hole crack data set, and the category information and the position information of the transverse hole crack data set are obtained through training and testing of a YOLOV3 algorithm. According to the embodiment of the invention, the method achievesthe quick and accurate recognition of the crack defects, achieves the higher accuracy while achieving the target detection, meets the requirements of real-time detection, and is more suitable for an application environment of ultrasonic nondestructive detection.
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Description

technical field

[0001] The invention relates to the technical field of image processing, in particular to an intelligent detection method and system for cracks around a transverse hole. Background technique

[0002] When ultrasonic waves are used to detect workpieces, ultrasonic b-scan images are generally used to detect target areas.

[0003] Since the area to be detected is generally relatively small, the first problem faced by the target detection for a small area is the positioning of the target area, then the acquisition accuracy of the size and shape of the specific detection features, and finally the calculation speed. The Faster R-CNN model is commonly used, but this model has the disadvantages of low detection accuracy and slow speed in practical applications.

[0004] Therefore, it is necessary to propose a new detection method for intelligent detection of small features of workpieces to solve the above problems. Contents of the invention

[0005] The embodimen...

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Embodiment Construction

[0043] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0044] In order to solve the problems existing in the prior art, the embodiment of the present invention discloses a deep learning intelligent detection and analysis method and system for cracks around a transverse hole, which collects three-channel ultrasonic echo signals for preprocessing to form an ultrasonic b-scan image , importing the u...