A thermal imaging segmentation detection method for electrical equipment based on improved weighted otsu algorithm

An electrical equipment, thermal imaging technology, applied in image analysis, calculation, image enhancement and other directions, can solve problems such as excessive noise, indistinct distinction between target and background, etc., to achieve good adaptability

Active Publication Date: 2020-11-10
ZHEJIANG UNIV
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Problems solved by technology

[0007] The invention provides a thermal imaging segmentation detection method for electrical equipment based on the improved weighted otsu algorithm, which overcomes defects such as excessive noise and indistinct distinction between targets and backgrounds in infrared imaging while segmenting areas such as hot spots and detecting thermal faults. Can effectively improve the efficiency and reliability of infrared detection

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  • A thermal imaging segmentation detection method for electrical equipment based on improved weighted otsu algorithm
  • A thermal imaging segmentation detection method for electrical equipment based on improved weighted otsu algorithm
  • A thermal imaging segmentation detection method for electrical equipment based on improved weighted otsu algorithm

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Embodiment Construction

[0082] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be noted that the following embodiments are intended to facilitate the understanding of the present invention, but do not limit it in any way.

[0083] Such as figure 1 As shown in the figure, a thermal imaging segmentation method for electric equipment based on the improved weighted otsu algorithm is used to process and analyze the simulated signal and the actual signal respectively. The specific steps are described as follows:

[0084] (1) Obtain the infrared grayscale image data stream, and reasonably select the image processing frequency according to the infrared image sampling frequency.

[0085] (2) Perform wavelet decomposition on the two-dimensional infrared image, the statement in MATLAB is:

[0086] [c,s]=wavedec2(image1,N,'sym4')

[0087] In the formula: c and s are the decomposition coefficients of each layer and the length...

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Abstract

The invention discloses an electrical equipment thermal imaging segmentation dissimilarity finding method based on an improved weighted otsu algorithm, and the method comprises the steps: (1) collecting the infrared imaging data of electrical equipment, and obtaining an infrared grey-scale map data flow; (2) carrying out wavelet enhancement on the obtained infrared grayscale image to obtain an infrared image with highlighted details and highlighted hot spot areas; (3) carrying out Gaussian filtering on the infrared thermogram of the highlighted hot spot area; (4) carrying out hot spot region extraction and edge information acquisition on the Gaussian filtered data and the original data by applying an improved otsu algorithm and a canny edge algorithm respectively; and (5) filtering the extracted area shape based on the geometrical shape by applying a morphological opening operation; and (6) performing feature extraction on the infrared image by using an extracted hotspot area and edgeinformation, analyzing features and giving an abnormal alarm. The method can overcome the defects of great noise during infrared imaging, and blurring distinguishment between a target and a backgroundand can effectively improve the efficiency and reliability of infrared detection.

Description

technical field [0001] The invention belongs to the technical field of infrared fault diagnosis of electrical equipment, and in particular relates to a thermal imaging segmentation detection method for electrical equipment based on an improved weighted otsu algorithm. Background technique [0002] In electrical equipment, the application of infrared thermal imaging technology can realize real-time and large-scale detection and thermal fault diagnosis of equipment. Nowadays, most of the fault analysis of infrared images is done manually, manually checking whether the hot spot area is abnormal in temperature, etc., but with the large-scale application of infrared diagnosis technology, massive images and high requirements for diagnosis results make manual processing more difficult. cost. Therefore, in recent years, with the advancement of the Industry 4.0 policy, the general direction of intelligence and automation has put forward new requirements for infrared fault diagnosis ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/12G06T7/13G06T5/00G06T7/194
CPCG06T5/002G06T7/0004G06T7/12G06T7/13G06T7/194G06T2207/10048G06T2207/20036
Inventor 初宁王宇轩侯耀春刘钦杨广胜张黎雯吴大转
Owner ZHEJIANG UNIV
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