Screen defect detection method and device and head-mounted display equipment

Abstract

The invention discloses a screen defect detection method and device and head-mounted display equipment. The screen defect detection method comprises the steps of obtaining an original image of a to-be-detected screen; filtering the original image by using a filtering algorithm to obtain a filtered image; according to the distance between the initial position of the screen and the boundary of the filtered image, intercepting a corresponding part from the filtered image to determine one or more compensation images corresponding to the boundary of the filtered image, and splicing the compensationimages with the corresponding boundary in the corresponding direction in the original image to obtain a spliced image; and determining a screen effective area according to the spliced image, and completing screen defect detection based on the screen effective area. According to the embodiment of the invention, the compensation image is determined, and the compensation image is spliced with the original image, so that the edge contour can be accurately extracted, the accuracy of the screen detection scheme is improved, the actual application requirements are met, and the market competitivenessof the head-mounted display equipment is enhanced.

Description

technical field [0001] The present application relates to the technical field of head-mounted display devices, in particular to a screen defect detection method, device and head-mounted display device. Background technique [0002] In recent years, head-mounted display devices, such as VR (Virtual Reality, virtual reality) products have become popular. According to market forecasts, the next generation of VR will use OLED screens (Organic Light-Emitting Diode, organic light-emitting semiconductor). In order to ensure that VR products can be widely used and the user experience is good, the VR screen must be able to achieve a good resolution, and there must be no dead pixels or dirt, so product testing is an essential process. [0003] In the current display screen detection process, the detection accuracy is not high. For example, when the effective area of ​​the screen is located at the edge of the image, the screen contour determined by contour extraction is likely to be in...

AI Technical Summary

Problems solved by technology

[0003] In the current display screen detection process, the detection accuracy is not high. For example, when the effective area of ​​the screen is located at the edge of the image, the screen contour determined by the contour extraction method is likely to be inaccurate, and the false detection rate and missed detection rate are high.

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