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Feature extraction network and display panel defect detection method thereof

A technology for display panel defect and feature extraction, applied in image data processing, instrument, character and pattern recognition, etc., can solve the problem of low detection accuracy and achieve the effect of improving detection accuracy

Active Publication Date: 2019-07-19
WUHAN JINGLI ELECTRONICS TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] In view of this, the present invention provides a feature extraction network and its display panel defect detection method to solve or at least partially solve the technical problem of low detection accuracy in the prior art

Method used

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  • Feature extraction network and display panel defect detection method thereof
  • Feature extraction network and display panel defect detection method thereof
  • Feature extraction network and display panel defect detection method thereof

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Experimental program
Comparison scheme
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Embodiment 1

[0044] This embodiment provides a feature extraction network, please refer to figure 2 , The feature extraction network includes: input layer, feature extraction layer and output layer,

[0045] The input layer is used to transfer the image to be processed to the feature extraction layer;

[0046] The feature extraction layer includes low-level network feature extraction modules, middle-level network feature extraction modules, and high-level network feature extraction modules. Among them, low-level network feature extraction modules, middle-level network feature extraction modules, and high-level network feature extraction modules are densely connected and degressively connected. , Which are used for feature extraction of the image to be processed;

[0047] The output layer is used to receive and output the feature map output by the feature extraction layer.

[0048] Specifically, the main innovation of the feature extraction layer provided by the present invention lies in the conne...

Embodiment 2

[0084] This embodiment provides a method for detecting defects of a display panel, including:

[0085] Construct a display panel defect detection network based on the feature extraction network described in the first implementation;

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Abstract

The invention discloses a feature extraction network and a display panel defect detection method thereof, wherein the feature extraction network comprises an input layer, a feature extraction layer and an output layer, the input layer is used for transmitting a to-be-processed image to the feature extraction layer, the feature extraction layer comprises a low-layer network feature extraction module, a middle-layer network feature extraction module and a high-layer network feature extraction module, and the low-layer network feature extraction module, the middle-layer network feature extractionmodule and the high-layer network feature extraction module are connected in a dense connection and decreasing connection mode and are used for feature extraction of an image to be processed; and theoutput layer is used for receiving a feature mapping graph outputted by the feature extraction layer and outputting the feature mapping graph. According to the present invention, the over-detection rate and the omission rate of the display panel defect detection are greatly reduced, the robustness is higher, and the requirement of a deep learning model for the number of training samples is also reduced.

Description

Technical field [0001] The invention relates to the technical field of defect detection, in particular to a feature extraction network and a defect detection method of a display panel. Background technique [0002] In the process of manufacturing the display panel, often due to defects such as scratches, indentations, fragments, dust, and stains on the display panel, the output results of the quality of the display panel and the finished product level are ultimately caused. Therefore, in the process of manufacturing the display panel, it is very important to perform defect detection on the various components constituting the display panel and the surface of the successfully assembled display panel. At present, the detection of the components of the display panel and the display panel mainly rely on human eye observation and detection with the help of traditional image processing algorithms. Defect detection based on human eyes not only has strong subjective factors; moreover, lo...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06K9/46G06K9/62
CPCG06T7/0008G06T2207/30108G06T2207/10004G06V10/40G06F18/241
Inventor 马卫飞张胜森郑增强
Owner WUHAN JINGLI ELECTRONICS TECH