Image fusion method based on Kaiser window FFT four-peak interpolation modification

Abstract

The invention discloses an image fusion method based on Kaiser window FFT four-peak interpolation modification. The method comprises the steps that based on a Kaiser window FFT four-peak interpolationmodification formula, FFT frequency shift and amplitude values of the frequency spectrum of a window function Kaiser at four symmetrical spectral lines at the left side and right of fundamental wave,harmonic wave and inter-harmonic wave peak value frequency points, a general amplitude, phase and frequency interpolation modification formula of the signal fundamental waves, the harmonic waves andthe inter-harmonic waves is acquired by using a polynomial fitting formula; amplitude parameters, phase parameters and frequency parameters of the fundamental waves, the harmonic waves and the inter-harmonic waves of measured image signals are calculated according to the general amplitude, phase and frequency interpolation modification formula; and thus the fundamental waves, the harmonic waves and the inter-harmonic waves are calculated. The image fusion method utilizes a four-peak interpolation modification algorithm, makes full use of the symmetrical performance of the four spectral lines at the left and right of the amplitude frequency points and excellent main lobe and sidelobe performance of the Kaiser window function and has high calculation accuracy.

Description

technical field [0001] The invention relates to the field of electric energy measurement of a power supply system and the field of digital electric energy measurement, in particular to an image fusion method based on Kaiser window FFT four-peak interpolation correction. Background technique [0002] High-voltage equipment with degraded insulation performance is often accompanied by early abnormal heating or discharge signs before the insulation fails completely. The heating is accompanied by infrared radiation, and the discharge is accompanied by ultraviolet radiation. Evaluate the insulation condition of operating equipment and detect equipment defects in time. [0003] However, in engineering practice, some equipment defects cannot be detected by both the ultraviolet imager and the infrared imager at the same time. Using only one instrument is prone to missed detection, and there is no mechanism for combined infrared and ultraviolet detection and analysis. At the same tim...

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Problems solved by technology

[0003] However, in engineering practice, some equipment defects cannot be detected by both the ultraviolet imager and the infrared imager at the same time. It is easy to miss detection by using only one instrument, and there is no mechanism for combined infrared and ultraviolet detection and analysis.

At the same time, live inspections of power equipment are time-consuming, heavy maintenance tasks, and long cycles. It is difficult to find out whether there are hidden dangers in the equipment in time. With the development of online monitoring technology, the detection of substation equipment will also be automated, unmanned, and real-time online analysis. direction development

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