An infrared image fusion method and device based on multi-sensor mode coefficients and computer-readable storage medium

Abstract

The invention provides an infrared image fusion method and device based on multi-sensor state coefficients and a computer-readable storage medium. In the infrared imaging scene of different bands, the gray distribution characteristics of the same target between the images to be registered are different, especially the edge features of the thermal radiation image are more obvious, so the method of feature point description will cause registration accuracy The reduction of the fused image results in low definition and blurred edges. Therefore, for the imaging scenes of different infrared image sensors, it is necessary to establish an accurate mapping model between images, and at the same time, the image aspect coefficient is used in the registration process to measure the matching degree of the images as a whole. The invention adopts a combination structure of aspect coefficient registration and projection transformation search, and performs algorithm verification on multi-band infrared image groups, which is superior to traditional methods and has better fusion effect.

Description

technical field [0001] The invention belongs to the technical field of image processing and analysis, and in particular relates to a multi-sensor infrared image fusion method and device based on aspect coefficients and a computer-readable storage medium. Background technique [0002] With the development of photoelectric detection systems in the direction of high precision, all-weather, and multi-function, infrared imaging technology is becoming more and more mature, and a single image sensor is gradually showing limitations that cannot reflect complete image information. Image fusion is to process the images of the same target collected by multiple source channels, extract the information of each channel, and finally synthesize high-quality fusion images. Therefore, the fused image can represent the target more accurately, enhance scene understanding, and help improve target detection capabilities. [0003] The key technology of image fusion is image registration, which re...

AI Technical Summary

Problems solved by technology

In the infrared imaging scene of different bands, the gray distribution characteristics of the same target between the images to be registered are different, especially the edge features of the thermal radiation image are more obvious, so the method of feature point description will cause registration accuracy The reduction of the fused image results in low definition and blurred edges

Images