Deep abnormal body boundary recognition and step-by-step enhancement method and system, medium and equipment

A technology of boundary recognition and abnormal body, applied in the field of image processing, can solve the problems of high-order vertical derivative interference and unclear boundary recognition, and achieve a wide range of applications.

Inactive Publication Date: 2019-08-16
SHANDONG UNIV
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Problems solved by technology

[0005] In order to solve the above problems, the present disclosure proposes a method, system, medium and equipment for deep abnormal body boundary recognition and step-by-step enhancement. , a step-by-step enhancement method is proposed, which can simultaneously identify the boundaries of target bodies at different depths by avoiding the calculation of high-order derivatives and adopting the three steps of boundary recognition algorithm to gradually enhance, and for deep anomalies, it can effectively suppress the divergence and Deformation, has a good application prospect

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  • Deep abnormal body boundary recognition and step-by-step enhancement method and system, medium and equipment

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[0036] The present disclosure will be further described below in conjunction with the accompanying drawings and embodiments.

[0037] It should be noted that the following detailed description is exemplary and intended to provide further explanation of the present disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.

[0038] It should be noted that the terminology used herein is only for describing specific embodiments, and is not intended to limit exemplary embodiments according to the present disclosure. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

[00...

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Abstract

The invention provides a deep abnormal body boundary recognition and step-by-step enhancement method and system, a medium and equipment. According to magnetic field three-component data and magnetic gradient tensor data of an object to be recognized, reverse tangent operation is performed to obtain a preliminary recognition result of a deep abnormal body boundary; by utilizing magnetic gradient tensor data components and a boundary recognition method improved by the reverse tangent operation, the deformation of the deep abnormal body boundary is inhibited; and by utilizing an idea of gamma conversion in image processing, parameter adjustable image enhancement is performed according to enhancement shadow area contrast or high-brightness area contrast of different value selectivity, a targetbody boundary is further highlighted, and a final recognition result is obtained.

Description

technical field [0001] The disclosure belongs to the field of image processing, and specifically relates to a method, system, medium and equipment for identifying and step-by-step enhancement of boundaries of deep abnormal bodies. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. [0003] Boundary recognition technology based on magnetic gradient tensor data is widely used in military or civilian applications, such as underground unexploded ordnance detection and mineral resource exploration. The magnetic gradient tensor data is the gradient of the magnetic field vector component, which has the advantages of multiple parameters, strong anti-interference ability, and high resolution, and can describe various information of anomalous bodies more abundantly and accurately. Boundary identification is an important task in the interpretation of potentia...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V3/38G06T5/00G06T7/00
CPCG01V3/38G06T5/002G06T5/009G06T7/0002G06T2207/20192G06T2210/44
Inventor 丁然田招招王三胜薛瑞邵瀛杰
Owner SHANDONG UNIV
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