Image processing method and system applied to AR intelligent equipment

Abstract

The invention discloses an image processing method applied to AR intelligent equipment. The image processing method comprises the following steps: acquiring acquired image data of a current scene; carrying out region division on a single frame of image data, wherein each frame of divided image data comprises an image theme area and an image background area; detecting each image background area toobtain an area brightness value, and averaging all the area brightness values to obtain a single-frame brightness value; averaging the single-frame brightness values to obtain a background brightnessvalue of the image data; comparing the background brightness value with a preset brightness reference value, and determining the type of the environment where the current scene is located; and processing the image in the image theme area according to the environment type and then outputting and displaying the processed image. On the premise that new hardware components and cost are not increased,through background brightness detection and environment judgment, the influence of external brightness intensity on the display imaging effect is reduced, the image display effect of an image theme area is enhanced, and cost and performance optimization processing is achieved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to an image processing method applied to AR smart devices. Background technique [0002] With the emergence of wearable smart devices, the demand for AR smart glasses on consumer and industrial clients is booming. All kinds of applications are complex and diverse, and the external environment and background of the equipment are different. Higher requirements are put forward for the display effect of AR smart glasses. The existing AR smart glasses are not suitable for the display background and screen of a certain application. Happening. [0003] Existing AR smart glasses are generally equipped with RGB cameras and display screens. The usual implementation method is to collect real-world images through the RGB camera to the AR processing system, and then synthesize virtual information such as text, pictures, and voice, and directly superimpose them Output to the display devi...

AI Technical Summary

Problems solved by technology

There will be some problems in this way, because the brightness of the external environment is different, the background of the viewfinder, the shape, size and color of the subject area of ​​the image are different, after the camera is taken, if it is directly displayed, there will be defects, such as the picture is not clear, the subject is not clear

[0005] Based on the advantages and disadvantages of the above two product forms, the first AR device without a light intensity sensor, the image acquisition and display technology restricts different applications in different environmental backgrounds

Severely limited functionality for optimal app display

Although the second product achieves the adaptability to the brightness of the external environment by adjusting the color of the protective lens, on the one hand, due to the addition of light intensity sensors and hardware components that can adjust the color depth of the lens, the cost increases greatly and the wearing weight It is also a substantial increase, but the depth of the lens color is only adjusted, and the data of the theme image is not processed. The use effect still has the problem that the theme is not clear

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