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.
CN110133735AInactive Publication Date: 2019-08-16SHANDONG UNIV
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
SHANDONG UNIV
Publication Date
2019-08-16
Estimated Expiration
Not applicable Β· inactive patent

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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.
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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...

Claims

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