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An infrared and visible image registration method for power equipment based on feedback mechanism

An infrared image and feedback mechanism technology, applied in the field of image processing, can solve problems such as insufficient similarity, few correct matching points, and incorrect matching, and achieve the effect of improving registration accuracy and enhancing complementarity.

Active Publication Date: 2019-03-26
HOHAI UNIV CHANGZHOU
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Problems solved by technology

For feature-based image registration methods, feature points are widely used primitives, the more correctly matched feature points, the higher the registration accuracy, but the feature points of heterogeneous images are similar on different images Insufficient accuracy, less correct matching points, and easy to produce false matching, resulting in low registration accuracy

Method used

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  • An infrared and visible image registration method for power equipment based on feedback mechanism
  • An infrared and visible image registration method for power equipment based on feedback mechanism
  • An infrared and visible image registration method for power equipment based on feedback mechanism

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Embodiment Construction

[0016] The actual flow chart of the present invention is as figure 1 As shown, a feedback mechanism-based infrared and visible light image registration method for power equipment, the steps include:

[0017] 1) Anisotropic filtering is performed on infrared and visible light images respectively. Specific steps are as follows:

[0018] Let iterImg represent the input image, let rows and cols represent the height and width of iterImg respectively, iter represents the number of iterations,

[0019] 11) Order I x,y Represents the pixel value at (x, y) in the input image iterImg, let ▽ N (I x,y ),▽ S (I x,y ),▽ E (I x,y ),▽ W (I x,y ) represent the gradients in the four directions of up, down, left, and right respectively, and the calculation formula is as follows:

[0020]

[0021] 12) Let cN x,y , cS x,y , cE x,y , cW x,y Represent the diffusion coefficients in the four directions of up, down, left, and right respectively, k is a constant coefficient, and the ca...

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Abstract

The invention discloses infrared and visible image registration method for power equipment based on feedback mechanism, which respectively extracts edges of infrared and visible images by using a Canny algorithm, and respectively extracts SURF feature points on the infrared and visible edge images. After rough matching and sorting the SURF feature points, the set of matching points is obtained, and the affine matrix set is calculated according to the set of matching points. The set of affine matrix is screened by prior constraints, and the candidate affine matrix set is obtained. According tothe set of candidate affine matrices, the infrared images are transformed in turn, and the mutual information between the visible light and the infrared images after affine transformation is calculated by using the normalized mutual information fast calculation method, and the candidate affine matrices corresponding to the maximum mutual information are used as feedback matrices. The mutual information between the visible light and the infrared images after affine transformation is calculated by using the normalized mutual information fast calculation method. The optimal set of matching pointsis obtained by selecting the set of matching points based on the feedback matrix. The method adopted by the invention can effectively improve the registration accuracy of infrared and visible light images of the electric power equipment.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a registration method for infrared and visible light images of power equipment based on a feedback mechanism. Background technique [0002] With the maturity of imaging sensor technology and the increasing complexity of application scenarios, it is difficult to use only a single imaging sensor to meet the use requirements, while a multi-imaging sensor system can integrate complementary or redundant information obtained by multiple imaging sensors, which can be more efficient. well meet the needs of use. At the same time, the multi-imaging sensor system means that the images in the same scene have different sensor sources, different viewing angles, and different acquisition times, which makes the images cannot be matched correctly. The image registration aims to obtain the geometric correspondence between the images. Transform one or more images into the same geometric coo...

Claims

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Application Information

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IPC IPC(8): G06T7/33G06T7/13
CPCG06T2207/10004G06T2207/10048G06T7/13G06T7/33
Inventor 马啸川李庆武许金鑫
Owner HOHAI UNIV CHANGZHOU
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