Calibration method of visible light and infrared camera based on edge detection

Abstract

Visible and infrared cameras can solve the practical problem of high-resolution image recognition in complex operation scenes of substations, but the prerequisite is that visible and infrared cameras need to be calibrated effectively. In this paper, a calibration method of visible light and infrared camera based on edge detection is proposed. The method adopts a visible light camera and an infrared camera to shoot two images of the same calibration plate, namely a visible light image and an infrared image, and implements preprocessing. It detects the edges of two images, extracts feature point description information by using a scale invariant feature conversion algorithm and determines four groups of determined matching point pairs. It solves a transformation model by combining an internal parameter matrix to obtain an external parameter matrix and realizes visible light and infrared camera calibration. The results verify that the parallel equipotential error is less than zero. One under the application of the method, which indicates that the calibration effect of the method is better.