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Screen detection and screen detection model training method, device and equipment

A screen detection and screen technology, applied in the field of image processing, can solve the problems of difficult detection and low accuracy, and achieve the effect of improving the accuracy

Pending Publication Date: 2021-08-03
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when detecting defects on the screen through manual inspection or screen inspection algorithms, the detection accuracy for small screen defects is low, and it is difficult to detect tiny defects including only a few pixels

Method used

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  • Screen detection and screen detection model training method, device and equipment
  • Screen detection and screen detection model training method, device and equipment
  • Screen detection and screen detection model training method, device and equipment

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Experimental program
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Embodiment Construction

[0133] Firstly, the concepts involved in this application will be described.

[0134] TFT: Thin Film Transistor, thin film transistor.

[0135] LCD: Liquid Crystal Display, liquid crystal display, is an active matrix liquid crystal display driven by TFT.

[0136] OLED: Organic Light-Emitting Diode, organic light-emitting diode.

[0137] Screen Defect (Screen Defect): Display screens are usually composed of multiple materials and substrate layers bonded together, it is almost impossible to bond all these layers with absolute precision every time, various seams, migration , contaminants, air bubbles, or other imperfections may be introduced. For example, defects on LCDs may include: impurities or impurity particles in the liquid crystal matrix, uneven distribution of the LCD matrix during the manufacturing process, uneven TFT thickness, and Uneven spacing between them, uneven brightness distribution of the backlight source, flaws in the LCD panel, etc. All of the above factor...

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PUM

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Abstract

The embodiment of the invention provides a screen detection and screen detection model training method, device and equipment, and the screen detection method comprises the steps of obtaining a feature vector of each pixel point in a first image, the first image being an image obtained by shooting a to-be-detected screen; and classifying the pixel points in the first image according to the feature vector of each pixel point in the first image, and obtaining a detection result of the to-be-detected screen according to a classification result. The scheme provided by the embodiment of the invention can be used in various scenes such as screen production and manufacturing or before and after a screen assembly link of equipment with a screen, defect detection and quality control are carried out on the screen in the scenes, and the accuracy of screen detection is improved.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular to a method, device and equipment for screen detection and screen detection model training. Background technique [0002] During the production process of the screen of each electronic device, the screen may be affected due to the assembly process or other reasons, resulting in defects on the screen. [0003] At present, defects on the screen are mainly detected through manual inspection or various screen inspection algorithms. However, when defects on the screen are detected by manual detection or a screen detection algorithm, the detection accuracy for small screen defects is low, and it is difficult to detect tiny defects including only a few pixels. Contents of the invention [0004] Embodiments of the present application provide a screen detection and screen detection model training method, device, and equipment to improve the accuracy of detection of ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/62G02F1/13G09G3/00
CPCG06T7/0004G02F1/1309G09G3/006G06T2207/30121G06F18/214G06F18/241
Inventor 叶磊王靓伟
Owner HUAWEI TECH CO LTD
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