Liquid crystal splicing method and system based on intelligent display

Abstract

A method and system for intelligently displaying liquid crystal splicing (LCD) includes: video image acquisition, which uses a computer to control a camera to acquire video images of corresponding resolutions; video image segmentation, which segments the video images according to the number of LCD screen sizes; an image comparison and fusion module, which compares and fuses the boundaries of the segmented video images to form a spliced ​​LCD display video image; and an LCD control module, which modulates and controls the display of the unit displays according to the interface protocol provided by the display device. Based on the boundary structural characteristics of video image splicing LCDs, the present invention divides the LCD video frame image, then expands it, reconstructs the expanded image, fuses the boundaries, and displays it on the LCD splicing screen, significantly enhancing the display effect at the boundaries.

Description

Technical Field

[0001] The present invention relates to the technical field of LCD splicing screens, and in particular to a liquid crystal splicing LCD method and system based on intelligent display. Background Art

[0002] In today's modern world of high-speed, centralized information transmission, people constantly acquire a variety of information from the outside world, both actively and passively. Actively, this comes from work records or daily entertainment; passively, from media advertisements and outdoor broadcasts. Research shows that the primary way people acquire information is through vision, with over 60% of information acquired visually. Consequently, research into visual psychology has been ongoing to ensure effective information dissemination. Consequently, large-screen multimedia presentations are in demand because they offer a wider range of information dissemination, high-resolution visual presentations deliver more precise information, and realistic, concrete visual information is more easily accepted and understood. These technologies are widely used in workplace meetings, urban surveillance, outdoor advertising, telemedicine, and other fields. This high-capacity information dissemination is driven by the rapid development of computer technology. As computer processing speeds and storage capacities increase, high-resolution multimedia presentations and virtual reality visualizations, which require enormous computational resources, are gradually maturing. Furthermore, the development of network technology has permeated our daily lives. Increasingly high-speed, even wireless, network transmission is removing the geographical limitations of mobile information dissemination.

[0003] Meanwhile, with the advancement of electronics and semiconductor integration, display technology has also undergone significant changes, but display size has lagged behind. Due to limitations in materials and production processes, the resolution of the latest full HD video standard is only 1920×1080. Therefore, a single display device cannot meet the demand for large-scale displays. Simply increasing the size of display devices is not only costly, but also difficult to maintain and hinder its widespread adoption.

[0004] However, traditional LCD splicing screens only display images simply. The displays of different LCD splicing screens sometimes overlap, and sometimes the display becomes weak. The display effect of the images at the splicing points is poor, and currently they simply divide the current image and then display it on the screen, without making targeted adjustments to the boundary parts of each area. Moreover, the adjustment is only for the entire background brightness of the image, without adaptive adjustments to the boundaries. In addition, the video image data processing efficiency is low, the color difference is obvious, the accuracy is low, and the cost is high, which cannot meet the needs of users. However, accurate, fast, convenient and fine processing of the splicing points is currently very necessary and has become an urgent need to improve the user experience. Summary of the Invention

[0005] To solve the above technical problems, the present invention provides a liquid crystal splicing LCD method and system based on intelligent display. The present invention, based on the structural characteristics of the video image boundary, performs special processing on the LCD video frame image boundary, reconstructs the LCD video frame image for different areas, and performs special boundary fusion processing on the segmented image to obtain a display screen with extremely high pixel display effect. The liquid crystal splicing LCD method based on intelligent display includes the following steps: video image acquisition, wherein the video image acquisition is controlled by a computer to obtain a video image of corresponding resolution; video image segmentation, which is used to segment the video image according to the number of LCD screen sizes; an image comparison and fusion module, which performs boundary comparison and fusion on the segmented video images to form a spliced ​​LCD display video image; an LCD control module modulates and controls the display of the unit display according to the interface protocol provided by the display device; the segmentation of the video image according to the number of LCD screen sizes includes proportional segmentation of the video image according to the number and size of the LCDs, and segmentation after expanding 10-20 pixels on the segmentation boundary pixel line; the boundary comparison and fusion of the segmented video image includes forming a video image matrix H from the segmented n video images, calculating a difference matrix D of the video image matrix H,

[0006]

[0007] , where (x, y) is the horizontal and vertical coordinates of the pixel of the video image, D(x, y) is the grayscale value at the coordinate (x, y) in the difference matrix, H(x, y) is the grayscale value at the coordinate (x, y) of the video image matrix; H(x+1, y+1) is the grayscale value at the coordinate (x+1, y+1) of the video image matrix; H(x-1, y-1) is the grayscale value at the coordinate (x-1, y-1) of the video image matrix; H(x, y+1) is the grayscale value at the coordinate (x, y+1) of the video image matrix The grayscale value at the coordinates (x, y-1) of the video image matrix; H(x+1, y) is the grayscale value at the coordinates (x+1, y) of the video image matrix; H(x-1, y) is the grayscale value at the coordinates (x-1, y) of the video image matrix; H(x-1, y+1) is the grayscale value at the coordinates (x-1, y+1) of the video image matrix; H(x+1, y-1) is the grayscale value at the coordinates (x+1, y-1) of the video image matrix;

[0008] Calculate column fusion value Row fusion value The adjacent image pixel rows or pixel columns with the same row fusion value or column fusion value are merged and displayed on the LCD splicing screen.

[0009] Preferably, the segmentation is performed after expanding 10-20 pixels on the segmentation boundary pixel line, and the number of expanded pixels is selected according to the actual size of the LCD screen.

[0010] Preferably, after obtaining the video image of corresponding resolution, the method further includes preprocessing the video image and filtering and denoising the video image information.

[0011] Preferably, the image pixel rows or pixel columns with the same row fusion value or column fusion value and adjacent are merged and displayed on the LCD splicing screen. When the number of pixel rows or columns is more or less than the actual number of columns or rows of the LCD screen array, the image pixel rows or pixel columns with the same fusion value or column fusion value and adjacent are not processed.

[0012] An intelligent display-based liquid crystal splicing LCD system includes a camera and an LCD controller; an image acquisition module for acquiring images by controlling the camera through a computer to obtain video images of corresponding resolutions; an image segmentation module for segmenting the video images according to the number of LCD screen sizes; an image comparison and fusion module for performing boundary comparison and fusion on the segmented video images to form a spliced ​​LCD display video image; an LCD control module for modulating and controlling the display of unit displays according to an interface protocol provided by a display device; segmenting the video images according to the number of LCD screen sizes includes segmenting the video images in equal proportions according to the number and size of LCDs, and segmenting after expanding the segmentation boundary pixel line by 10-20 pixels; and performing boundary comparison and fusion on the segmented video images includes forming a video image matrix H from the segmented n video images, calculating a difference matrix D of the video image matrix H,

[0013]

[0014] , where (x, y) is the horizontal and vertical coordinates of the pixel of the video image, D(x, y) is the grayscale value at the coordinate (x, y) in the difference matrix, H(x, y) is the grayscale value at the coordinate (x, y) of the video image matrix; H(x+1, y+1) is the grayscale value at the coordinate (x+1, y+1) of the video image matrix; H(x-1, y-1) is the grayscale value at the coordinate (x-1, y-1) of the video image matrix; H(x, y+1) is the grayscale value at the coordinate (x, y+1) of the video image matrix ) is the grayscale value at the coordinate (x, y-1) of the video image matrix; H(x+1, y) is the grayscale value at the coordinate (x+1, y) of the video image matrix; H(x-1, y) is the grayscale value at the coordinate (x-1, y) of the video image matrix; H(x-1, y+1) is the grayscale value at the coordinate (x-1, y+1) of the video image matrix; H(x+1, y-1) is the grayscale value at the coordinate (x+1, y-1) of the video image matrix;

[0015] Calculate column fusion value Row fusion value The adjacent image pixel rows or pixel columns with the same row fusion value or column fusion value are merged and displayed on the LCD splicing screen.

[0016] Preferably, the segmentation is performed after expanding 10-20 pixels on the segmentation boundary pixel line, and the number of expanded pixels is selected according to the actual size of the LCD screen.

[0017] Preferably, after obtaining the video image of corresponding resolution, the method further includes preprocessing the video image and filtering and denoising the video image information.

[0018] Preferably, the image pixel rows or pixel columns with the same row fusion value or column fusion value and adjacent are merged and displayed on the LCD splicing screen. When the number of pixel rows or columns is more or less than the actual number of columns or rows of the LCD screen array, the image pixel rows or pixel columns with the same fusion value or column fusion value and adjacent are not processed.

[0019] Compared with the prior art, the technical solution of the present invention has the following beneficial effects:

[0020] Based on the boundary structural characteristics of video image splicing LCDs, the present invention significantly enhances the display effect at the boundaries by segmenting the LCD video frame image, then expanding it, reconstructing the expanded image, and fusing the boundaries for display on the LCD splicing screen. The present invention segments the video image in equal proportions based on the number and size of LCDs, expanding the pixel lines along the segmentation boundaries by 10-20 pixels before segmenting. The boundary comparison and fusion of the segmented video images includes forming a video image matrix H from the n segmented video images and calculating a difference matrix D from the video image matrix H, thus achieving specialized processing for the LCD splicing boundary areas.

[0021] In addition, this application integrates values ​​by calculating columns Row fusion value The adjacent image pixel rows or pixel columns with the same row fusion value or column fusion value are merged and displayed on the LCD splicing screen, realizing seamless automatic fusion display at the screen division boundary, and obtaining an LCD image with high image resolution and no color difference on the LCD display screen, and the display effect at the boundary is extremely high. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 This is a flow chart of a liquid crystal splicing LCD system and method based on intelligent display of the present invention; DETAILED DESCRIPTION

[0023] Those skilled in the art understand that, as mentioned in the background art, traditional LCD splicing screens are simply display screens. For different LCD splicing screens, the displays sometimes overlap, and sometimes the display becomes weak. The display effect of the screen at the splicing is poor, and currently it simply divides the current screen and then displays it on the screen, without adjusting the boundary parts of the regions; and the adjustment is only for the entire background brightness of the screen, without adaptive adjustment at the boundaries, and the video image data processing efficiency is low, the color difference difference is obvious, the accuracy is low, and the cost is high, which cannot meet the needs of users; and accurate, fast, convenient, and fine processing of the splicing is currently very necessary and has become an urgent need, so as to improve the user experience. In order to make the above-mentioned purposes, features and beneficial effects of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0024] Example 1:

[0025] The present invention provides a liquid crystal splicing method based on intelligent display, comprising the following steps: video image acquisition, wherein the video image acquisition is performed by controlling a camera via a computer to obtain a video image of corresponding resolution; video image segmentation, which is used to segment the video image according to the number of LCD screen sizes; an image comparison and fusion module, which performs boundary comparison and fusion on the segmented video images to form a spliced ​​LCD display video image; an LCD control module, which modulates and controls the display of a unit display according to an interface protocol provided by a display device; the segmentation of the video image according to the number of LCD screen sizes comprises segmenting the video image in equal proportions according to the number and size of LCDs, and segmenting after expanding 10-20 pixels on a segmentation boundary pixel line; and the boundary comparison and fusion of the segmented video image comprises forming a video image matrix H from n segmented video images, calculating a difference matrix D of the video image matrix H,

[0026]

[0027] , where (x, y) is the horizontal and vertical coordinates of the pixel of the video image, D(x, y) is the grayscale value at the coordinate (x, y) in the difference matrix, H(x, y) is the grayscale value at the coordinate (x, y) of the video image matrix; H(x+1, y+1) is the grayscale value at the coordinate (x+1, y+1) of the video image matrix; H(x-1, y-1) is the grayscale value at the coordinate (x-1, y-1) of the video image matrix; H(x, y+1) is the grayscale value at the coordinate (x, y+1) of the video image matrix ) is the grayscale value at the coordinate (x, y-1) of the video image matrix; H(x+1, y) is the grayscale value at the coordinate (x+1, y) of the video image matrix; H(x-1, y) is the grayscale value at the coordinate (x-1, y) of the video image matrix; H(x-1, y+1) is the grayscale value at the coordinate (x-1, y+1) of the video image matrix; H(x+1, y-1) is the grayscale value at the coordinate (x+1, y-1) of the video image matrix;

[0028] Calculate column fusion value Row fusion value The adjacent image pixel rows or pixel columns with the same row fusion value or column fusion value are merged and displayed on the LCD splicing screen.

[0029] In some embodiments, the segmentation is performed after expanding 10-20 pixels on the segmentation boundary pixel line, and the number of expanded pixels is selected according to the actual size of the LCD screen.

[0030] In some embodiments, after obtaining the video image of corresponding resolution, the method further includes preprocessing the video image and filtering and denoising the video image information.

[0031] In some embodiments, the image pixel rows or pixel columns with the same row fusion value or column fusion value and adjacent are merged and displayed on the LCD splicing screen. When the number of pixel rows or columns is more or less than the actual number of columns or rows of the LCD screen array, the image pixel rows or pixel columns with the same fusion value or column fusion value and adjacent are not processed.

[0032] Example 2:

[0033] The present invention also discloses a liquid crystal splicing LCD system based on intelligent display, including a camera and an LCD controller; further comprising: an image acquisition module for acquiring images and controlling the camera through a computer to obtain video images of corresponding resolution; an image segmentation module for segmenting the video images according to the number of LCD screen sizes; an image comparison and fusion module for performing boundary comparison and fusion on the segmented video images to form a spliced ​​LCD display video image; an LCD control module for modulating and controlling the display of the unit display according to the interface protocol provided by the display device; the segmentation of the video image according to the number of LCD screen sizes includes segmenting the video image in equal proportion according to the number and size of the LCDs, and segmenting after expanding 10-20 pixels on the segmentation boundary pixel line; the boundary comparison and fusion of the segmented video images includes forming a video image matrix H from the segmented n video images, calculating a difference matrix D of the video image matrix H,

[0034]

[0035] , where (x, y) is the horizontal and vertical coordinates of the pixel of the video image, D(x, y) is the grayscale value at the coordinate (x, y) in the difference matrix, H(x, y) is the grayscale value at the coordinate (x, y) of the video image matrix; H(x+1, y+1) is the grayscale value at the coordinate (x+1, y+1) of the video image matrix; H(x-1, y-1) is the grayscale value at the coordinate (x-1, y-1) of the video image matrix; H(x, y+1) is the grayscale value at the coordinate (x, y+1) of the video image matrix ) is the grayscale value at the coordinate (x, y-1) of the video image matrix; H(x+1, y) is the grayscale value at the coordinate (x+1, y) of the video image matrix; H(x-1, y) is the grayscale value at the coordinate (x-1, y) of the video image matrix; H(x-1, y+1) is the grayscale value at the coordinate (x-1, y+1) of the video image matrix; H(x+1, y-1) is the grayscale value at the coordinate (x+1, y-1) of the video image matrix;

[0036] Calculate column fusion value Row fusion value The adjacent image pixel rows or pixel columns with the same row fusion value or column fusion value are merged and displayed on the LCD splicing screen.

[0037] In some embodiments, the segmentation is performed after expanding 10-20 pixels on the segmentation boundary pixel line, and the number of expanded pixels is selected according to the actual size of the LCD screen.

[0038] In some embodiments, after obtaining the video image of corresponding resolution, the method further includes preprocessing the video image and filtering and denoising the video image information.

[0039] In some embodiments, the adjacent image pixel rows or pixel columns with the same row fusion value or column fusion value are merged and displayed on the LCD splicing screen. When the number of pixel rows or columns is more or less than the actual number of columns or rows of the LCD screen array, the adjacent image pixel rows or pixel columns with the same fusion value or column fusion value are not processed.

[0040] Compared with the prior art, the technical solution of the present invention has the following beneficial effects:

[0041] This application, based on the boundary structural characteristics of video image splicing LCDs, significantly enhances the display effect at the boundaries by segmenting the LCD video frame image, then expanding it, reconstructing the expanded image, and fusing the boundaries for display on the LCD splicing screen. The present invention segments the video image in equal proportions based on the number and size of LCDs, expanding the pixel lines along the segmentation boundaries by 10-20 pixels before segmenting. The boundary comparison and fusion of the segmented video images includes forming a video image matrix H from the n segmented video images and calculating a difference matrix D of the video image matrix H, thus achieving specialized processing for the LCD splicing boundary areas.

[0042] In addition, this application integrates values ​​by calculating columns Row fusion value The adjacent image pixel rows or pixel columns with the same row fusion value or column fusion value are merged and displayed on the LCD splicing screen, realizing seamless automatic fusion display at the screen division boundary, and obtaining an LCD image with high image resolution and no color difference on the LCD display screen, and the display effect at the boundary is extremely high.

[0043] Those skilled in the art should understand that the embodiments of the present application can be provided as methods, systems, or computer program products, and therefore the present application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects.

[0044] Although the present invention is disclosed as above, the present invention is not limited thereto. Any person skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention should be based on the scope defined by the claims.

Claims

1. A liquid crystal splicing LCD method based on intelligent display, characterized in that: The following steps are involved: Video image acquisition, video image acquisition is controlled by a computer to obtain video images of corresponding resolution; video image segmentation is used to segment the video image according to the number of LCD screen sizes; the image comparison and fusion module performs boundary comparison and fusion on the segmented video images to form a spliced ​​LCD display video image; the LCD control module modulates and controls the display of the unit display according to the interface protocol provided by the display device; the segmentation of the video image according to the number of LCD screen sizes includes proportional segmentation of the video image according to the number and size of LCDs, and segmentation after expanding 10-20 pixels on the segmentation boundary pixel line; the boundary comparison and fusion of the segmented video image includes forming a video image matrix H from the segmented n video images, and calculating the difference matrix D of the video image matrix H, Where (x, y) is the horizontal and vertical coordinates of the pixel of the video image, D(x, y) is the grayscale value at the coordinate (x, y) in the difference matrix, H(x, y) is the grayscale value at the coordinate (x, y) of the video image matrix; H(x+1, y+1) is the grayscale value at the coordinate (x+1, y+1) of the video image matrix; H(x-1, y-1) is the grayscale value at the coordinate (x-1, y-1) of the video image matrix; H(x, y+1) is the grayscale value at the coordinate (x, y+1) of the video image matrix. Grayscale value; H(x,y-1) is the grayscale value at the coordinate (x,y-1) of the video image matrix; H(x+1,y) is the grayscale value at the coordinate (x+1,y) of the video image matrix; H(x-1,y) is the grayscale value at the coordinate (x-1,y) of the video image matrix; H(x-1,y+1) is the grayscale value at the coordinate (x-1,y+1) of the video image matrix; H(x+1,y-1) is the grayscale value at the coordinate (x+1,y-1) of the video image matrix; Calculate the column fusion value Row fusion value When adjacent row fusion values ​​are the same, the corresponding image pixel rows are merged and displayed on the LCD splicing screen, or when adjacent column fusion values ​​are the same, the corresponding image pixel columns are merged and displayed on the LCD splicing screen.

2. The liquid crystal splicing method based on intelligent display according to claim 1, characterized in that: The segmentation is performed after expanding 10-20 pixels on the segmentation boundary pixel line, and the number of expanded pixels is selected according to the actual size of the LCD screen.

3. The liquid crystal splicing method based on intelligent display according to claim 1, characterized in that: After obtaining the video image of corresponding resolution, the method further includes preprocessing the video image and filtering and denoising the video image information.

4. The liquid crystal splicing method based on intelligent display according to claim 2, characterized in that: The merging and displaying on the LCD spliced ​​screen includes: when the number of pixel rows or the number of pixel columns is respectively greater than the actual number of rows or the actual number of columns of the LCD screen array, directly displaying, and not processing the image pixels corresponding to the same adjacent row fusion value or the same adjacent column fusion value; or, when the number of pixel rows or the number of pixel columns is respectively less than the actual number of rows or the actual number of columns of the LCD screen array, directly displaying, and not processing the image pixels corresponding to the same adjacent row fusion value or the same adjacent column fusion value.

5. A liquid crystal splicing LCD system based on intelligent display, including a camera and an LCD controller; characterized in that: Also includes: Image acquisition module, used for image acquisition, controlling the camera through a computer to obtain video images of corresponding resolution; The image segmentation module is used to segment the video image according to the number of LCD screen sizes; the image comparison and fusion module performs boundary comparison and fusion on the segmented video image to form a spliced ​​LCD display video image; the LCD control module modulates and controls the display of the unit display according to the interface protocol provided by the display device; the segmentation of the video image according to the number of LCD screen sizes includes dividing the video image into equal proportions according to the number and size of LCDs, and expanding 10-20 pixels on the segmentation boundary pixel line before segmentation; the boundary comparison and fusion of the segmented video image includes dividing the n The video images form a video image matrix H, and the difference matrix D of the video image matrix H is calculated. Where (x, y) is the horizontal and vertical coordinates of the pixel of the video image, D(x, y) is the grayscale value at the coordinate (x, y) in the difference matrix, H(x, y) is the grayscale value at the coordinate (x, y) of the video image matrix; H(x+1, y+1) is the grayscale value at the coordinate (x+1, y+1) of the video image matrix; H(x-1, y-1) is the grayscale value at the coordinate (x-1, y-1) of the video image matrix; H(x, y+1) is the grayscale value at the coordinate (x, y+1) of the video image matrix. Grayscale value; H(x,y-1) is the grayscale value at the coordinate (x,y-1) of the video image matrix; H(x+1,y) is the grayscale value at the coordinate (x+1,y) of the video image matrix; H(x-1,y) is the grayscale value at the coordinate (x-1,y) of the video image matrix; H(x-1,y+1) is the grayscale value at the coordinate (x-1,y+1) of the video image matrix; H(x+1,y-1) is the grayscale value at the coordinate (x+1,y-1) of the video image matrix; Calculate the column fusion value Row fusion value When adjacent row fusion values ​​are the same, the corresponding image pixel rows are merged and displayed on the LCD splicing screen, or when adjacent column fusion values ​​are the same, the corresponding image pixel columns are merged and displayed on the LCD splicing screen.

6. The liquid crystal splicing LCD system based on intelligent display according to claim 5, characterized in that: The segmentation is performed after expanding 10-20 pixels on the segmentation boundary pixel line, and the number of expanded pixels is selected according to the actual size of the LCD screen.

7. The liquid crystal splicing LCD system based on intelligent display according to claim 5, characterized in that: After obtaining the video image of corresponding resolution, the method further includes preprocessing the video image and filtering and denoising the video image information.

8. The liquid crystal splicing LCD system based on intelligent display according to claim 6, characterized in that: The merging and displaying on the LCD spliced ​​screen includes: when the number of pixel rows or the number of pixel columns is respectively greater than the actual number of rows or the actual number of columns of the LCD screen array, directly displaying, and not processing the image pixels corresponding to the same adjacent row fusion value or the same adjacent column fusion value; or, when the number of pixel rows or the number of pixel columns is respectively less than the actual number of rows or the actual number of columns of the LCD screen array, directly displaying, and not processing the image pixels corresponding to the same adjacent row fusion value or the same adjacent column fusion value.

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