Four-channel video processing method and system

Abstract

The invention provides a four-channel video processing method, and belongs to the technical field of digital image processing. The method comprises the following steps: taking one channel as a reference channel; obtaining four paths of current video frame images collected by a four-channel camera; the other three channels are compared with video frame image gray values of a reference channel respectively, if differences exist, gray difference adjustment is carried out on the channels, and the gray difference adjustment specifically comprises the steps that if the absolute value of the gray value difference is smaller than or equal to a threshold value, the image gain value and the OB pixel value of the channels are adjusted; and if the absolute value of the gray value difference is greaterthan a threshold, adjusting the brightness of the channel. The invention also provides a system for realizing the method. The four-channel image difference is compensated by adopting a peripheral hardware mode, so that the four-channel image is kept consistent in gray level, and the problem of image distortion or image key detail loss caused by interference factors such as impedance, capacitive reactance and circuit noise of a hardware circuit is solved.

Description

technical field [0001] The invention relates to the technical field of digital images, especially image processing, and relates to a camera four-channel compensation method and system. Background technique [0002] Machine vision is developing rapidly in the field of artificial intelligence and machine learning. Machine vision is the use of machines instead of human eyes for measurement, analysis and judgment. The machine vision system converts the captured target into a digital signal through the machine vision product (that is, the image capture device, which is divided into CMOS and CCD), and transmits it to a dedicated image processing system. Through the calculation of the image processing system, the captured target is extracted Information. The image system performs various calculations on the information to extract the characteristics of the target, and then controls the action of the on-site equipment or obtains the information of the on-site equipment according t...

AI Technical Summary

Problems solved by technology

[0010] In order to overcome the shortcomings and deficiencies of the prior art, the present invention provides a four-channel balancing method and system, the purpose of which is to use peripheral hardware to compensate for the differences in the four-channel images, so that the four-channel images are consistent in gray scale, This solves the problem of image distortion or loss of key image details caused by interference factors such as impedance, capacitive reactance, and circuit noise of the hardware circuit

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