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tft LCD mura defect detection method based on hybrid adaptive level set model combined with multi-channel

A defect detection and self-adaptive technology, which is applied in character and pattern recognition, image analysis, instruments, etc., can solve the problems of inability to take into account mura detection and the difficulty of accurately locating mura weak edges, so as to avoid over-inspection and remove texture Interference, the effect of improving segmentation accuracy

Active Publication Date: 2018-09-14
南京汇川图像视觉技术有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

This application solves the problem that the mura defect cannot be accurately segmented due to the uneven brightness of the image background, but the application also cannot take into account different types of mura detection, and cannot solve the problem that the weak edge position of the mura is difficult to accurately locate

Method used

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  • tft LCD mura defect detection method based on hybrid adaptive level set model combined with multi-channel
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  • tft LCD mura defect detection method based on hybrid adaptive level set model combined with multi-channel

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Embodiment 1

[0055] Such as figure 1 , figure 2 with image 3 As shown, a kind of TFT LCD mura defect detection method based on hybrid adaptive level set model and multi-channel combination in this embodiment includes: image acquisition, ROI region segmentation and angle correction, multi-color channel extraction, background suppression, Hybrid adaptive level set model for mura defect segmentation, result fusion and display. This embodiment can effectively realize the extraction of the region of interest, the suppression of the background texture, the suppression of the uneven background interference, and the accurate positioning of weak edges, and the universality of different types of mura detection is obtained by introducing a multi-channel combined detection mechanism.

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Abstract

The invention discloses a TFT LCD mura defect detection method based on a hybrid self-adaptive level set model combined with multi-channel, and belongs to the technical field of LCD mura defect machine vision detection. The invention proposes a mura detection method based on a hybrid adaptive model fused with global information and local information. The hybrid adaptive model can improve the speed of curve evolution and effectively overcome the interference of uneven background gray level, and can adaptively reduce the area close to the target to prevent excessive convergence and achieve accurate segmentation of weak edges. In addition, the present invention proposes a detection scheme based on multi-channel fusion of grayscale images and s-channel images to take into account different types of mura detection. The invention can accurately extract the ROI region and suppress its texture background, overcome the interference of background gray scale unevenness and the difficulty of low contrast of weak edges by using an adaptive model, and realize accurate segmentation of mura defect edges.

Description

technical field [0001] The invention relates to the technical field of machine vision detection of TFT LCD mura defects, and more specifically relates to a method for detecting TFT LCD mura defects based on a hybrid adaptive level set model combined with multi-channels. Background technique [0002] With the development of liquid crystal displays (Liquid crystal display, LCD) in the direction of large screen, thinner, and higher resolution, the defect detection work of the screen is becoming more and more important. The mura defect is used to describe the brightness imbalance perceived by the human eye when observing the display. It is a low-contrast object with no fixed shape and blurred edges. The main reasons are defects in the circuit or structure and uneven material properties. It is the research focus and difficulty of LCD defect detection. At present, most of the methods at home and abroad use manual inspection to complete the back-end inspection of the TFT LCD produ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06K9/36G06K9/32G06K9/46G06K9/40G06T7/11
CPCG06T7/0002G06V10/20G06V10/247G06V10/30G06V10/25G06V10/56
Inventor 李勃朱赛男董蓉王秀何玉婷史德飞
Owner 南京汇川图像视觉技术有限公司
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