A color matching instrument of optimized color difference resolution and testing method

Abstract

The invention belongs to the technical field of light distribution for machine vision, and discloses a color matching instrument of optimized color difference resolution and testing method. The invention comprises an image processing system, a light source controller, a black-and-white industrial camera, a dome light source and the platform, wherein the light source controller is connected to theimage processing system; the image processing system comprises an image acquisition module and a color temperature calculation module; the input end of the light source controller is connected to thedome light source; the output of the light source controller is connected to the image acquisition module; and the black-and-white industrial camera is connected to the image acquisition module. The lens of the black-and-white industrial camera is coaxially mounted on top of the dome light source, which forms reflected beam after reflection from the dome to illuminate the moving platform. The method can calibrate the image processing system to delineate the foreground and background of the testing object and calculate the gray scale of the foreground and background, from which the scheme of light distribution with optimal color difference is obtained and outputted.

Description

technical field [0001] The invention belongs to the technical field of machine vision light source light distribution, and more specifically relates to a color difference optimal resolution color matching instrument and a testing method thereof. Background technique [0002] At present, the core process in the field of machine vision is image acquisition and processing, and image quality is extremely critical to the overall vision system. The selection of the light source is the focus of affecting the quality of the entire image acquisition system from the physical layer. If an inappropriate light source is selected, the region of interest (ROI, hereinafter referred to as the foreground region) in the image can be optimally separated from the background region, which will increase the quality of the image processing. Algorithm segmentation and identification are difficult, and at the same time, the accuracy of system positioning and measurement cannot be improved. Using the...

AI Technical Summary

Problems solved by technology

The selection of the light source is the key point that affects the quality of the entire image acquisition system from the physical layer. If an inappropriate light source is selected so that the region of interest (ROI, hereinafter referred to as the foreground region) in the image is optimally separated from the background region, the image processing will be increased. Algorithm segmentation and identification are difficult, and at the same time, the accuracy of system positioning and measurement cannot be improved

Using the color difference between the foreground and the background can realize highlighting the foreground and suppressing the background. The traditional method is to select the region of interest by color parameters, that is, use a color industrial camera to configure a white light source to directly segment the effect obtained by taking pictures, such as region segmentation. This method has poor ability to distinguish color difference

Images