Airport foreign matter recognition image detection method based on pseudo-color illustrating image

Abstract

The invention discloses an airport foreign matter recognition image detection method based on a pseudo-color illustrating image, and the method is characterized in that the method comprises the steps: S101, reading a gray scale image; S103, carrying out the pseudo-color processing of the gray scale image; S105, calibrating a foreign matter through an interpolation coordination calculation method; S107, displaying the above calculation result on a display screen of a terminal. The method can achieve the detection and analysis of the foreign matter according to the gray scale image detected by a terminal detection device or the data collected by a user, achieves the observation of the information which cannot be directly observed in the gray scale image, and can obtain a good visual effect of the pseudo-color illustrating image.

Description

technical field [0001] The invention relates to the field of image detection. More specifically, it relates to an airport foreign object recognition image detection method based on pseudo-color mapping. Background technique [0002] Foreign object recognition and positioning is an important research content in graphic image processing. It is often necessary to collect data according to real-time requirements, analyze the data in real time, and complete the identification and positioning of objects in images formed under different imaging environments. Since the 1960s, there have been many research results in image analysis. Generally, indirect processing techniques such as Fourier transform, Walsh transform, and discrete cosine transform are used to convert the processing of the spatial domain into the processing of the transform domain, which can reduce The amount of calculation is reduced, and the data can be processed more efficiently. Fourier transform is very effectiv...

AI Technical Summary

Problems solved by technology

However, at present, most of the images detected by security check centers at airports are grayscale images, and the image processing time is relatively long, which does not meet the needs of rapid detection, identification and positioning of security check centers.

Images