Image hybrid segmentation method and device combining edge features and texture features

A texture feature and edge feature technology, which is applied in the field of image hybrid segmentation combining edge features and texture features, can solve problems such as the inability to guarantee the monitoring accuracy of electrical equipment, and achieve good image segmentation effects, complete boundaries, and good segmentation effects.

Pending Publication Date: 2021-03-30
SHANGHAI MUNICIPAL ELECTRIC POWER CO +1
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Problems solved by technology

At present, the research on the precise segmentation of thermal images of electrical equipment is still relatively lacking, and the accuracy of electrical equipment monitoring cannot be guaranteed.

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  • Image hybrid segmentation method and device combining edge features and texture features
  • Image hybrid segmentation method and device combining edge features and texture features
  • Image hybrid segmentation method and device combining edge features and texture features

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Embodiment Construction

[0040] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0041] The invention provides an image hybrid segmentation method combining edge features and texture features to segment electrical equipment thermal images. Based on K-L transformation, the method extracts edge gradient features and image object interiors respectively from principal component images. Local variance texture features, using image object markers to modify edge gradient images through morphologically enforced minimization techniques, accomplish marker-controlled watershed segmentation. This method can ensure that the edge information of ground objects is not lost in the...

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Abstract

The invention relates to an image hybrid segmentation method and device combining edge features and texture features, and the method comprises the following steps: obtaining a to-be-segmented high-resolution image, and carrying out the K-L conversion of the high-resolution image to obtain a corresponding principal component image; extracting edge features of the principal component image by adopting a multi-scale multi-direction morphological gradient operator to generate a first gradient image; extracting local variance texture features inside an image object in the principal component imageto obtain an image object mark; marking the image object as a local minimum value of the first gradient image to form a second gradient image, and performing watershed transformation on the second gradient image to obtain an image segmentation result. Compared with the prior art, the method has the advantages of high segmentation precision and the like.

Description

technical field [0001] The invention relates to the technical field of power equipment image processing, in particular to an image mixing and segmentation method and equipment combining edge features and texture features. Background technique [0002] According to statistics, 70% of the faults in the power system are caused by electrical equipment failures, and more than half of the electrical equipment failures are related to heating caused by leakage current, magnetic flux leakage, loose connection, and poor contact. Infrared detection technology uses infrared detection equipment to obtain the temperature value and temperature spatial distribution characteristics of power equipment, and analyze and deal with potential faults and hidden dangers in the equipment, so as to prevent problems before they happen. [0003] When identifying electrical equipment defects, due to the wide variety of electrical equipment, the fault characteristics of different equipment are also very d...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/34G06K9/46G06K9/62G06T7/155G06T7/187
CPCG06T7/155G06T7/187G06V10/267G06V10/44G06F18/2135
Inventor 曹博源苏磊杨心刚孙沛
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO
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