公开(公告)号：US10453366B2

公开(公告)日：2019-10-22

申请号：US15639859

申请日：2017-06-30

Applicant: Samsung Display Co., Ltd.

Inventor： Yiwei Zhang ,  Janghwan Lee

IPC: G09G3/00

Abstract: A method for detecting one or more white spot MURA defects in a display panel includes receiving an image of the display panel, the image including the one or more white spot MURA defects, dividing the image into a plurality of patches, each one of the plurality of patches corresponding to an m pixel by n pixel area of the image (wherein m and n are integers greater than or equal to one), generating a plurality of feature vectors for the plurality of patches, each of the feature vectors corresponding to one of the plurality of patches and including one or more image texture features and one or more image moment features, and classifying each one of the plurality of patches based on a respective one of the plurality of feature vectors by utilizing a multi-class support vector machine to detect the one or more white spot MURA defects.

公开(公告)号：US20180011586A1

公开(公告)日：2018-01-11

申请号：US15245080

申请日：2016-08-23

Applicant: SAMSUNG DISPLAY CO., LTD.

Inventor： Yiwei Zhang ,  Janghwan Lee ,  Ning Lu

IPC: G06F3/041 ,  G06F3/0484 ,  G06F3/0488 ,  G06F3/14

CPC classification number: G06F3/0416 ,  G06F3/0412 ,  G06F3/04842 ,  G06F3/04845 ,  G06F3/0488 ,  G06F3/04883 ,  G06F3/04886 ,  G06F3/1454 ,  G06F2203/0382 ,  G06F2203/0383 ,  G06F2203/04104 ,  G06F2203/04808

Abstract: A multi-touch display panel includes: a display panel configured to display an image according to image data; a multi-touch panel arranged over the display panel and configured to generate touch data; and a communication module configured to communicate with a remote device. The remote device includes a display panel and a touch screen, and the communication module is further configured to receive the image data from the remote device and to provide the touch data to the remote device.

公开(公告)号：US10558288B2

公开(公告)日：2020-02-11

申请号：US15245080

申请日：2016-08-23

Applicant: SAMSUNG DISPLAY CO., LTD.

Inventor： Yiwei Zhang ,  Janghwan Lee ,  Ning Lu

IPC: G06F3/041 ,  G06F3/0488 ,  G06F3/0484 ,  G06F3/14

Abstract: A multi-touch display panel includes: a display panel configured to display an image according to image data; a multi-touch panel arranged over the display panel and configured to generate touch data; and a communication module configured to communicate with a remote device. The remote device includes a display panel and a touch screen, and the communication module is further configured to receive the image data from the remote device and to provide the touch data to the remote device.

公开(公告)号：US20190191150A1

公开(公告)日：2019-06-20

申请号：US15909893

申请日：2018-03-01

Applicant: Samsung Display Co., Ltd.

Inventor： Yiwei Zhang ,  Janghwan Lee

IPC: H04N17/04 ,  G09G3/00

Abstract: A system and method for white spot Mura defects on a display. The system is configured to pre-process an input images to generate a plurality of image patches. A feature vector is then extracted for each of the plurality of image patches. The feature vector includes at least one image moment feature and at least one texture feature. A machine learning classifier then determines the presence of a defect in each patch using the feature vector.

公开(公告)号：US20170091896A1

公开(公告)日：2017-03-30

申请号：US15145761

申请日：2016-05-03

Applicant: SAMSUNG DISPLAY CO., LTD.

Inventor： Ning Lu ,  Janghwan Lee ,  Yiwei Zhang

IPC: G06T1/20

Abstract: An independent multi-source display device including: a multi-input receiver configured to concurrently receive a plurality of input data from input sources external to the independent multi-source display device, each of the input data having a display element structure indicating a data format, a depth order, a size, a position, and a content, the multi-input receiver including: formatters, each being configured to convert an input data having a data format associated with the formatter to uncompressed data; and a data classifier configured to identify a data format associated with each of the input data based on a respective display element structure of each of the input data; a compositor coupled to the formatters and configured to composite the uncompressed data into composite frames based on the display element structure associated with each of the received uncompressed data; and a display panel configured to display the composite frames.

公开(公告)号：US10681344B2

公开(公告)日：2020-06-09

申请号：US15909893

申请日：2018-03-01

Applicant: Samsung Display Co., Ltd.

Inventor： Yiwei Zhang ,  Janghwan Lee

IPC: G09G3/00 ,  H04N17/04 ,  G06T7/00

Abstract: A system and method for white spot Mura defects on a display. The system is configured to pre-process an input images to generate a plurality of image patches. A feature vector is then extracted for each of the plurality of image patches. The feature vector includes at least one image moment feature and at least one texture feature. A machine learning classifier then determines the presence of a defect in each patch using the feature vector.

公开(公告)号：US20180301071A1

公开(公告)日：2018-10-18

申请号：US15639859

申请日：2017-06-30

Applicant: Samsung Display Co., Ltd.

Inventor： Yiwei Zhang ,  Janghwan Lee

IPC: G09G3/00

CPC classification number: G09G3/006 ,  G09G2330/08 ,  G09G2330/10 ,  G09G2354/00 ,  G09G2360/14 ,  G09G2360/145

Abstract: A method for detecting one or more white spot MURA defects in a display panel includes receiving an image of the display panel, the image including the one or more white spot MURA defects, dividing the image into a plurality of patches, each one of the plurality of patches corresponding to an m pixel by n pixel area of the image (wherein m and n are integers greater than or equal to one), generating a plurality of feature vectors for the plurality of patches, each of the feature vectors corresponding to one of the plurality of patches and including one or more image texture features and one or more image moment features, and classifying each one of the plurality of patches based on a respective one of the plurality of feature vectors by utilizing a multi-class support vector machine to detect the one or more white spot MURA defects.