A Multi-sensor image fusion method based on PSO-NSCT

An image fusion and multi-sensor technology, applied in the direction of instruments, calculation models, biological models, etc., can solve the problems of image edge information loss and fusion accuracy reduction, and achieve the effects of accurate details, improved efficiency, and fast computing speed

Inactive Publication Date: 2018-12-21
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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Problems solved by technology

[0004] In the actual substation inspection robot monitoring system, the location of the fault area can be identified by fusing the infrared image and the visible light image, but there is a problem of image edge information loss in the fusion process using the existing image fusion algorithm, which makes the fusion accuracy reduce

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  • A Multi-sensor image fusion method based on PSO-NSCT
  • A Multi-sensor image fusion method based on PSO-NSCT
  • A Multi-sensor image fusion method based on PSO-NSCT

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[0054] 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.

[0055] Such as figure 1 and figure 2 As shown, this example provides a multi-sensor image fusion method based on PSO-NSCT, which accurately fuses the infrared and visible light images of substation equipment collected by the substation inspection robot monitoring system. The method adopts NSCT (Nonsuosampled Contourlet Transform) for multi-scale decomposition to obtain high-frequency sub-band images and low-frequency sub-band images; the low-frequency sub-band images are weighted by an algorithm based on regional similarity to obtain the low-frequency sub-band coefficients of the fu...

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Abstract

The invention relates to a method based on PSO-NSCT. The multi-sensor image fusion method of NSCT utilizes passive aggregation particle swarm optimization algorithm to optimize the high-frequency sub-band fusion parameter model of NSCT. The method comprises the following steps: firstly, NSCT fuses the visible and infrared images, and NSP decomposes the source image into high-frequency and low-frequency sub-band images at different levels; the high-frequency sub-band image is transferred to NSDFB, and the multi-direction decomposition of the image is realized. The low-frequency sub-band coefficients of each level of the fusion image are obtained by weighting the fusion rules based on region similarity. Taking MI and QAB / F index as the optimal constraint to improve the fitness function of PSO, the optimal weights of high frequency subband coefficients fusion are calculated. The result of multi-sensor image fusion is obtained by NSCT inverse transform. Compared with the traditional fusionalgorithm, the fusion result of the invention has higher contrast, detail preservation degree and fusion precision, and has certain application value.

Description

technical field [0001] The invention relates to a multi-sensor image fusion method, in particular to a PSO-NSCT-based multi-sensor image fusion method. Background technique [0002] The inspection and maintenance of the power grid is the basic guarantee for the safe and reliable operation of the power grid, and the fundamental guarantee for the continuous and stable power supply of the power grid. With the development of mobile robot technology and automation technology, the combination of robot technology and power applications provides a new inspection method for power grid maintenance. With the development of computer technology and automation technology, the use of substation inspection robots to inspect substation equipment has become an important means to promote the process of smart substations with few people or no one. Using mobile robots to inspect substation equipment has become an important tool for power companies and scientific research units. research hotspot...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/00G06Q50/06G07C1/20
CPCG06N3/006G06Q50/06G07C1/20G06F18/22G06F18/253
Inventor 彭道刚王岚青赵晨洋陈跃伟夏飞彭盖伦
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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