Color response testing and correcting device and method for industrial color cameras

Abstract

The invention discloses a color response testing and correcting device and method for industrial color cameras. The device comprises an RGB three-color LED (Light-Emitting Diode) array light source, an LED driving controller, an integrating sphere, a colorimeter, industrial cameras to be detected, a data acquisition card and a computer. The method comprises the following specific steps: adjusting the RGB three-color LED array light source to output standard testing light, acquiring data of a plurality of images, calculating a mean value of camera RGB pixel output responses of different images, and building a response coefficient correction table with consistent RGB pixel point response outputs under the same RGB illumination intensity; and adjusting the light source to other standard illumination conditions, acquiring data of a plurality of images under corresponding illumination conditions, and calculating a mean value of the camera RGB pixel output responses of different images. Camera color correction models under different standard illumination conditions are subjected to least square fitting in order to match camera output colors with standard colors. Moreover, the models are input into a camera color correction module to finish correction.

Description

technical field [0001] The invention relates to the field of industrial camera performance detection in machine vision, in particular to an industrial color camera color response test and correction device and method. Background technique [0002] Machine vision systems are widely used in industry, agriculture, medicine, military, aerospace, meteorology, astronomy, public security, transportation, security, scientific research and other industries. Machine vision technology converts the detected target into a digital image signal through an industrial camera. According to the image pixel distribution, brightness, color and other information, the image processing system extracts the characteristics of the target based on the algorithm, obtains the shape information of the measured target, and then according to the measured target information to control on-site equipment actions. Industrial cameras are key components of image information acquisition in machine vision systems....

AI Technical Summary

Problems solved by technology

[0005] The invention mainly solves the problem of color response deviation correction of industrial cameras in machine vision technology. By embedding a camera color correction module in the image sensing data at the front end of the camera, the accuracy of camera color recognition is improved and the complexity of subsequent system image processing is reduced.

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