Method for extracting and recognizing nondestructive detecting defect based on radial damping energy field

Abstract

The invention provides a nondestructive examination defect extraction and recognition method based on the ray attenuation energy field. Firstly, the relation between the negative image gray scale and the attenuation capacity field distribution is established based on ray detection and digital imaging; the defect boundary is acquired from the radiograph images; the types of the defects acquired by using the defect extraction method are recognized based on the ray attenuation energy field; finally, the defects acquired by using the recognition method of types of defects are volume measured according to the energy attenuation theory. The invention makes use of the attenuation characteristics expressed by the ray energy when the ray energy penetrates different materials to establish the principle of correspondence of the ray energy attenuation characteristics and the negative image gray scale, and makes use of the advantage of computers that the gray-scale image resolution of the computer outclasses that of human eyes, thus achieving automatic extraction, recognition and three-dimensional volume measurement of defects of components and parts of products.

Description

technical field [0001] The invention relates to a non-destructive detection defect extraction and identification method based on ray attenuation energy field in digital image processing. Background technique [0002] Defect determination using industrial radiographic film images mainly includes two aspects: defect boundary extraction and defect type identification. Due to the diversity and complexity of the internal defects of parts, at present, most of the defect type identification is mainly based on the image film formed by the defect, and the judgment is based on the actual experience of professionals, resulting in a large workload for non-destructive testing technicians. The work intensity is high, and misjudgments and omissions occur from time to time. In addition, the non-destructive ray testing industry involves flaw detection technology, casting technology, material forming technology, welding technology and surface treatment technology. It takes about three years ...

AI Technical Summary

Problems solved by technology

More importantly, all the methods currently adopted, whether it is artificial recognition or computer discrimination (neural network, expert system), have in common that they identify the defect type by analyzing the boundary shape characteristics of the defect, and seldom consider the internal area of ​​the defect. Gray distribution, a large amount of valuable information closely related to the defect type contained in the defect area is wasted

[0005] In terms of defect measurement, two-dimensional measurement such as defect length and area measurement has been very mature, but the use of image grayscale to realize three-dimensional volume measurement of defects is basically a blank

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