WO2018195957A1 - 一种大数据图像处理装置 - Google Patents
一种大数据图像处理装置 Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
- G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
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- the invention belongs to the technical field of image processing, and in particular relates to a big data image processing device.
- CAP encoding anti-piracy
- the first coded anti-piracy version was designed by Kodak, followed by Deluxe Laboratories improved it.
- Philips also proposed a signage system called CineFence.
- the watermarking technique is only a passive measure, and he cannot eliminate and prevent camera sneak shots.
- camera jamming technology aims to eliminate camera sneak shots through severely disrupted cinema visual quality, while at the same time making these interfering signals unaffected by the cinema audience.
- a new anti-sneak shot technical solution which can perform electronic analysis on the auditorium image, perform electronic analysis on the live performance environment, and perform the sneak shot judgment based on the two analysis results. In addition, it is based on the position information of the sneak shot person. The sneak shots are reminded to achieve directional detection and directional warning of the sneak shot on the scene.
- Embodiments of the present invention provide a big data image processing apparatus, which aims to solve the problem that a cinema has a sneak shot behavior.
- a big data image processing device the device includes a theater content collection device, a screen detection device, and a color matching device, and the color matching device is respectively connected to the theater content collection device and the screen detection device, Determining whether there is a sneak shot in the theater based on the output of the theater content collection device and the screen detection device, and the screen detection device is on the big data service platform;
- the big data image processing apparatus comprises:
- the cinema content collection device is disposed opposite the theater screen and is used for real-time capturing the color of the scene image on the cinema screen as the color output of the real-time scene image;
- a screen color detecting device disposed in the background control room of the theater, connected to the screen detecting device to receive each screen sub-image color and its corresponding seat number for calculating the gray value of each pixel based on the color of each screen sub-image
- the screen color of each screen sub-image is output as a real-time screen color
- the color matching device is disposed in the background control room of the theater, and is respectively connected with the cinema content collection device and the screen color detecting device for receiving the real-time scene image color and receiving the real-time screen color of each screen sub-image, and each screen sub-image
- the real-time screen color is matched with the color of the real-time scene image.
- the seat number corresponding to the screen sub-image is used as the target seat number.
- a driving control device disposed in the background control room of the theater, connected to the color matching device for issuing a driving control signal including the target seat number based on the target seat number;
- the motor driving device is disposed in the background control room of the theater, and is respectively connected with the driving control device to receive the driving control signal sent by the driving control device, and parses the driving control signal to determine the target seat number, and determines the motor driving based on the target seat number. signal;
- a seat warning light one for each audience seat, for receiving a remote control signal for performing a light warning based on the remote control signal
- the high-definition camera is placed in the center of the theater roof for image capture of the auditorium opposite the theater stage to output high-definition images;
- a big data service platform that connects to a high-definition camera over a network to receive high-definition images and process high-definition images.
- the big data service platform comprises:
- the grayscale processing device comprises a channel parameter extraction unit, a weight value storage unit and a gray value calculation unit, and the channel parameter extraction unit is connected with the high-definition camera network for receiving the high-definition image to extract the R of each pixel in the high-definition image.
- the weight value storage unit is configured to pre-store the R channel weight value, the G channel weight value, and the B channel weight value, and the gray value calculation unit and the channel parameter extraction unit respectively
- the weighted value storage unit is connected, for each pixel in the high-definition image, the product of the R channel pixel value and the R channel weight value, the product of the G channel pixel value and the G channel weight value, and the B channel pixel value and the B channel weight value.
- the product is added to obtain the gray value of the pixel, and the gray image corresponding to the high-definition image is obtained based on the gray value of each pixel in the high-definition image; wherein the R channel weight value is 0.298839, the G channel weight value The value is 0.586811, and the B channel weighting value is 0.114350.
- the histogram distribution detecting device is connected to the grayscale processing device for receiving. The image is imaged, and the grayscale image is processed by gray histogram to obtain a corresponding histogram image. When the histogram image exhibits a bimodal distribution, a global threshold selection signal is issued.
- a non-global threshold selection signal is issued; Selecting a device, connected to the histogram distribution detecting device, for outputting the global threshold 128 as the threshold data when receiving the global threshold selection signal, and setting the grayscale difference threshold of the adjacent pixel when receiving the non-global threshold selection signal 40 as threshold data output;
- the binarization processing device is respectively connected to the threshold selection device and the histogram distribution detecting device, and is configured to, when receiving the global threshold selection signal, for each pixel point in the grayscale image, when the gray value is greater than or equal to the threshold data
- the pixel point is set as a white level pixel point
- the pixel point is set as a black level pixel point
- the binarized image corresponding to the grayscale image is output;
- the binarization processing device is further configured to, when receiving the non-global threshold selection signal, calculate a gray value of a pixel point whose vertical direction is upward from the three pixel points as the upper pixel for each pixel in the grayscale image.
- Gray value calculate the gray value of the pixel point whose vertical direction is downward from the 3 pixel points as the lower pixel gray value, and calculate the gray value of the pixel point whose horizontal direction is 3 pixels away from the left direction as the left pixel
- the gray value, the gray value of the pixel point whose horizontal direction is rightward from the three pixel points is calculated as the right pixel gray value
- the absolute value of the difference between the upper pixel gray value and the lower pixel gray value is less than or equal to
- the pixel point to be set is set as a white level pixel point, when the upper pixel gray value and the lower pixel gray value
- the absolute value of the difference is greater than the threshold data or the absolute value of the difference between the left pixel gray value and the right pixel gray value is greater than the threshold data
- the pixel point is set as a black level pixel point, and the grayscale image corresponding is output.
- An image smoothing processing device coupled to the binarization processing device, for receiving the binarized image, for each pixel in the binarized image, when there are more than half of the jumping points in all adjacent pixels, Then, the gray value of the pixel point is reserved, otherwise, the gray value of the pixel point is set as a white level pixel point, and the smooth image corresponding to the binarized image is output;
- An adaptive recursive filtering device is connected to the image smoothing processing device for receiving a smooth image, and performing adaptive recursive filtering processing on the smooth image to obtain a filtered image;
- the screen detecting device is disposed in the background control room of the theater, is connected to the adaptive recursive filtering device through the network to obtain a filtered image, and matches the filtered image with a screen pattern of various mobile terminals stored in advance to detect and segment the filtered image.
- Each screen sub-image, for each screen sub-image determines a seat number corresponding to the screen sub-image for its position in the filtered image; wherein the corresponding seat number of the screen sub-image is the screen for holding The image of the theater seat number of the viewer of the mobile terminal corresponding to the image.
- the big data image processing apparatus further includes:
- SD memory card for storing preset color thresholds.
- the big data image processing apparatus further includes:
- the input device is connected to the SD memory card for inputting a preset color threshold based on the user's operation.
- the input device is a touch screen or a keyboard array.
- the network connected by the big data service platform is a mobile communication network.
- the mobile communication network is a 3G communication network or a 4G communication network.
- the big data image processing apparatus analyzes the audience state of the audience by adopting a series of targeted and high-precision image processing equipment and image analysis equipment, and also passes the real-time scene image color of the theater scene. Based on the above analysis, the author accurately checks and locates the behavior of the thief in the auditorium, and finally adopts a warning mechanism to electronically remind the sneak shot, thereby effectively reducing the sneak shot while avoiding interference with other viewers. The occurrence of behavior.
- FIG. 1 is a schematic structural diagram of a big data image processing apparatus according to an embodiment of the present invention.
- FIG. 2 is a schematic structural diagram of another big data image processing apparatus according to an embodiment of the present invention.
- FIG. 3 is a schematic structural diagram of a big data service platform according to an embodiment of the present invention.
- FIG. 4 is a schematic structural diagram of a data image processing apparatus having an SD memory card and an input device according to an embodiment of the present invention.
- the big data image processing apparatus analyzes the audience state of the audience by adopting a series of targeted and high-precision image processing equipment and image analysis equipment, and also passes the real-time scene image color of the theater scene. Based on the above analysis, the author accurately checks and locates the behavior of the thief in the auditorium, and finally adopts a warning mechanism to electronically remind the sneak shot, thereby effectively reducing the sneak shot while avoiding interference with other viewers. The occurrence of behavior.
- FIG. 1 is a schematic structural diagram of a big data image processing apparatus according to an embodiment of the present invention.
- the big data image processing apparatus 100 includes a theater content collection device 110, a screen detection device 120, and a color matching device 130, and a color matching device.
- the screen 130 is connected to the theater content collection device 110 and the screen detection device 120 for determining whether there is a sneak shot behavior in the theater based on the output of the theater content collection device 110 and the screen detection device 120.
- the screen detection device 120 is on the big data service platform 140.
- the big data image processing apparatus 100 includes: a theater content collection device device 110 disposed opposite the theater screen for real-time collection of scene image colors on the theater screen.
- a screen color detecting device 150 disposed in the background control room of the theater, is connected to the screen detecting device 120 to receive each screen sub-image color and its corresponding seat number for each screen sub-image based on each The grayscale value of each pixel of the color calculates the screen color of each screen sub-image as a real-time screen color output;
- the color matching device 130 is disposed in the background control room of the theater, respectively, with the cinema content collection device 110 and the screen color detecting device 150.
- the seat number corresponding to the screen sub-image is output as the target seat number; the driving control device 160 is disposed in the background control room of the theater and is connected with the color matching device for issuing the target seat based on the target seat number.
- motor drive device 170 disposed in the background control room of the theater, respectively connected to the drive control device to receive drive control signals from the drive control device, and to analyze the drive control signals to determine the target seat number, The motor driving signal is determined based on the target seat number; the seat warning light 180 is provided on each of the audience seats for receiving the remote control signal for performing the light warning based on the remote control signal; the high-definition camera 190 is disposed at the center of the theater roof for the pair The auditorium opposite the theater stage performs image acquisition to output high-definition images; the big data service platform 140 is connected to the high-definition camera 190 through the network for receiving high-definition images and processing the high-definition images.
- the big data service platform 140 includes: a grayscale processing device 141, including a channel parameter extraction unit 1411, a weight value storage unit 1412, and a gray value calculation unit 1413, and channel parameter extraction.
- the unit 1411 is connected to the high-definition camera 190 for receiving the high-definition image to extract the R channel pixel value, the G channel pixel value and the B channel pixel value of each pixel in the high-definition image, and the weight value storage unit 1412 is configured to be pre-stored.
- the R channel weighting value, the G channel weighting value, and the B channel weighting value, the gray value calculating unit 1413 is connected to the channel parameter extracting unit 1411 and the weighting value storing unit 1412, respectively, and the R channel pixel value is used for each pixel in the high definition image.
- the product of the weight of the R channel, the product of the G channel pixel value and the G channel weight value, and the product of the B channel pixel value and the B channel weight value are obtained by acquiring the gray value of the pixel point for the pixel, and based on each pixel in the high definition image.
- the gray value of the point is obtained as the gray image corresponding to the high-definition image; wherein the weight value of the R channel is 0.298839, and the weight value of the G channel is 0.586811.
- the B channel weighting value is 0.114350;
- the histogram distribution detecting device 142 is connected to the grayscale processing device 141 for receiving the grayscale image, and performing grayscale histogram processing on the grayscale image to obtain a corresponding histogram.
- the graph image when the histogram image exhibits a bimodal distribution, issues a global threshold selection signal, otherwise, sends a non-global threshold selection signal;
- the threshold selection device 143 is coupled to the histogram distribution detecting device 142 for receiving the global threshold selection
- the global threshold 128 is output as the threshold data
- the non-global threshold selection signal is received, the adjacent pixel point grayscale difference threshold 40 is output as the threshold data;
- the binarization processing device 145 is respectively associated with the threshold selection device and
- the histogram distribution detecting device is connected to set a pixel level for the pixel point for each pixel point in the grayscale image when the gray value is greater than or equal to the threshold data when the global threshold selection signal is received.
- Pixel point when the gray value is smaller than the threshold data, the pixel point is set as a black level pixel point, and the grayscale image is output Corresponding binarized image; the binarization processing device 145 is further configured to, when receiving the non-global threshold selection signal, calculate a pixel whose vertical direction is upward by 3 pixels for each pixel in the grayscale image The gray value of the point is used as the gray value of the upper pixel, and the gray value of the pixel point whose vertical direction is downward from the 3 pixel points is calculated as the gray value of the lower pixel, and the pixel whose horizontal direction is 3 pixels away from the left side is calculated.
- the gray value of the point is used as the left pixel gray value, and the gray value of the pixel point whose horizontal direction is rightward from the three pixel points is calculated as the right pixel gray value, when the upper pixel gray value and the lower pixel gray value are
- the pixel point to be set is set as a white level pixel point
- the upper pixel gray value is When the absolute value of the difference between the gray value of the lower pixel and the lower value is greater than the threshold data or the absolute value of the difference between the left pixel gray value and the right pixel gray value is greater than the threshold data, the pixel point is set as the black level pixel point, and Output grayscale map
- the image smoothing processing device 146 is coupled to the binarization processing device 145 for receiving the binarized image, for each pixel in the binarized
- the gray value of the pixel point is set as the white level pixel point, and the smoothing corresponding to the binarized image is output.
- the network is connected to the adaptive recursive filtering device to obtain a filtered image, and the filtered image is matched with pre-stored screen patterns of various mobile terminals to detect and segment each screen sub-image in the filtered image, for each screen sub-image, Determining a seat number corresponding to the screen sub-image for the position in the filtered image; wherein, the screen is targeted Theater seat numbers as the corresponding number of seats for the audience to hold sub-screen image for the corresponding mobile terminal is located.
- the apparatus further includes an SD memory card 1101 and an input device 1102.
- the SD memory card 1101 is configured to store a preset color threshold.
- the input device 1102 is connected to the SD memory card for inputting a preset color threshold based on a user operation.
- the input device is a touch screen or a keyboard array.
- the network connected to the big data service platform 140 is a mobile communication network
- the mobile communication network is a 3G communication network or a 4G communication network.
- the big data image processing apparatus analyzes the audience state of the auditorium by using a series of targeted and high-precision image processing apparatuses and image analysis apparatuses, and also passes the real-time scene image color of the theater scene. Based on the above analysis, the author accurately checks and locates the behavior of the thief in the auditorium, and finally adopts a warning mechanism to electronically remind the sneak shot, thereby effectively reducing the sneak shot while avoiding interference with other viewers. The occurrence of behavior.
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Abstract
一种大数据图像处理装置，属于图像处理技术领域，所述装置包括影院内容采集设备（110）、屏幕检测设备（120）以及颜色匹配设备（130），颜色匹配设备（130）分别与影院内容采集设备（110）、屏幕检测设备（120）连接，用于基于影院内容采集设备（110）和屏幕检测设备（120）的输出确定影院内是否存在偷拍行为，屏幕检测设备（120）在大数据服务平台（140）上。通过对影院现场的实时场景图像颜色进行分析，在上述分析的基础上，对观众席中盗拍者的行为进行准确检测和位置识别，最终采取警告机制对偷拍者进行电子提醒，从而在避免干扰其他观众观看的同时，有效减少偷拍行为的发生。
Description
本发明属于图像处理技术领域，尤其涉及一种大数据图像处理装置。
一些行业领导者为了识别和追踪盗版电影，提出了通过编码反盗版(CAP)的方法，即往电影里增加水印。第一个编码反盗版是被Kodak设计的，随后Deluxe
Laboratories对其进行改善。Philips在2006年也提出了一个名叫CineFence的标识系统。然而，水印技术只是一种被动的措施，他不能消除和阻止摄像偷拍。另一方面，相机干扰技术旨在通过严重破坏的电影视觉质量来消除摄像偷拍，同时要使这些干扰信号不会影响影院的观众。
因此，需要一种新的防偷拍技术方案，能够对观众席图像进行电子分析，对现场演出环境进行电子分析，并基于两种分析结果进行偷拍者判断，另外，还基于偷拍者的位置信息对偷拍者进行提醒，从而实现演出现场偷拍者的定向检测和定向警告。
本发明实施例提供一种大数据图像处理装置，旨在解决影院存在偷拍行为的问题。
本发明实施例是这样实现的，一种大数据图像处理装置，所述装置包括影院内容采集设备、屏幕检测设备以及颜色匹配设备，颜色匹配设备分别与影院内容采集设备、屏幕检测设备连接，用于基于影院内容采集设备和屏幕检测设备的输出确定影院内是否存在偷拍行为，屏幕检测设备在大数据服务平台上；
优选地，所述大数据图像处理装置包括：
影院内容采集设备设备，设置在影院幕布对面，用于实时采集影院幕布上的场景图像颜色以作为实时场景图像颜色输出；
屏幕颜色检测设备，设置在剧院的后台控制室内，与屏幕检测设备连接以接收每一个屏幕子图像颜色和其对应的座位编号，用于基于每一个屏幕子图像颜色的各个像素的灰度值计算每一个屏幕子图像的屏幕颜色以作为实时屏幕颜色输出；
颜色匹配设备，设置在剧院的后台控制室内，分别与影院内容采集设备和屏幕颜色检测设备连接，用于接收实时场景图像颜色以及接收每一个屏幕子图像的实时屏幕颜色，将每一个屏幕子图像的实时屏幕颜色与实时场景图像颜色进行匹配，当存在屏幕子图像的实时屏幕颜色减去实时场景图像颜色的差值大于等于预设颜色阈值时，将屏幕子图像对应的座位编号作为目标座位编号输出；
驱动控制设备，设置在剧院的后台控制室内，与颜色匹配设备连接，用于基于目标座位编号发出包括目标座位编号的驱动控制信号；
电机驱动设备，设置在剧院的后台控制室内，分别与驱动控制设备连接以接收驱动控制设备发来的驱动控制信号，并对驱动控制信号进行解析以确定目标座位编号，基于目标座位编号确定电机驱动信号；
座位警示灯，每一个观众座位上设置一个，用于接收遥控信号以基于遥控信号进行灯光警示；
高清摄像头，设置在剧院房顶中央位置，用于对剧院舞台对面的观众席进行图像采集以输出高清图像；
大数据服务平台，通过网络与高清摄像头连接，用于接收高清图像并对高清图像进行处理。
优选的，所述大数据服务平台包括：
灰度化处理设备，包括通道参数提取单元、加权值存储单元和灰度值计算单元，通道参数提取单元与高清摄像头网络连接，用于接收高清图像以提取出高清图像中每一个像素点的R通道像素值、G通道像素值和B通道像素值，加权值存储单元用于预先存储了R通道加权值、G通道加权值和B通道加权值，灰度值计算单元分别与通道参数提取单元和加权值存储单元连接，针对高清图像中每一个像素点，将R通道像素值与R通道加权值的乘积、G通道像素值与G通道加权值的乘积以及B通道像素值与B通道加权值的乘积相加以获取针对的像素点的灰度值，并基于高清图像中各个像素点的灰度值获得高清图像对应的灰度化图像；其中，R通道加权值取值为0.298839，G通道加权值取值为0.586811，B通道加权值取值为0.114350；直方图分布检测设备，与灰度化处理设备连接，用于接收灰度化图像，并对灰度化图像进行灰度直方图处理以获得对应的直方图图像，在直方图图像呈现双峰分布时，发出全局阈值选择信号，否则，发出非全局阈值选择信号；阈值选择设备，与直方图分布检测设备连接，用于在接收到全局阈值选择信号时，将全局阈值128作为阈值数据输出，在接收到非全局阈值选择信号时，将相邻像素点灰度差阈值40作为阈值数据输出；
二值化处理设备，分别与阈值选择设备和直方图分布检测设备连接，用于在接收到全局阈值选择信号时，针对灰度化图像中的每一个像素点，当灰度值大于等于阈值数据时，将针对的像素点设置为白电平像素点，当灰度值小于阈值数据时，将针对的像素点设置为黑电平像素点，并输出灰度化图像对应的二值化图像；二值化处理设备还用于在接收到非全局阈值选择信号时，针对灰度化图像中的每一个像素点，计算垂直方向向上距离其3个像素点的像素点的灰度值作为上像素灰度值，计算垂直方向向下距离其3个像素点的像素点的灰度值作为下像素灰度值，计算水平方向向左距离其3个像素点的像素点的灰度值作为左像素灰度值，计算水平方向向右距离其3个像素点的像素点的灰度值作为右像素灰度值，当上像素灰度值和下像素灰度值之差的绝对值小于等于阈值数据且左像素灰度值和右像素灰度值之差的绝对值小于等于阈值数据时，将针对的像素点设置为白电平像素点，当上像素灰度值和下像素灰度值之差的绝对值大于阈值数据或左像素灰度值和右像素灰度值之差的绝对值大于阈值数据时，将针对的像素点设置为黑电平像素点，并输出灰度化图像对应的二值化图像；
图像平滑处理设备，与二值化处理设备连接，用于接收二值化图像，针对二值化图像中的每一个像素点，当相邻的所有像素点中存在一半以上的跳变点时，则将针对的像素点的灰度值保留，否则，将针对的像素点的灰度值设置为白电平像素点，并输出二值化图像对应的平滑图像；
自适应递归滤波设备，与图像平滑处理设备连接，用于接收平滑图像，对平滑图像执行自适应递归滤波处理以获得滤波图像；
屏幕检测设备，设置在剧院的后台控制室内，通过网络与自适应递归滤波设备连接以获得滤波图像，将滤波图像与预先存储的各种移动终端的屏幕图案进行匹配以检测并分割出滤波图像中的各个屏幕子图像，针对每一个屏幕子图像，针对其在滤波图像中的位置确定针对的屏幕子图像对应的座位编号；其中，针对的屏幕子图像对应的座位编号为持有针对的屏幕子图像对应的移动终端的观众所在的剧院座位编号。
优选地，所述大数据图像处理装置还包括：
SD存储卡，用于存储预设颜色阈值。
优选地，所述大数据图像处理装置还包括：
输入设备，与SD存储卡连接，用于基于用户的操作，输入预设颜色阈值。
优选地，所述输入设备为触摸屏或键盘阵列。
优选地，所述大数据服务平台连接的网络是移动通信网络。
优选地，所述移动通信网络为3G通信网络或4G通信网络。
本发明实施例提供的大数据图像处理装置，通过采用有针对性的、高精度的一系列图像处理设备和图像分析设备对观众席的观众状态进行分析，还通过对影院现场的实时场景图像颜色进行分析，在上述分析的基础上，对观众席中盗拍者的行为进行准确检测和位置识别，最终采取警告机制对偷拍者进行电子提醒，从而在避免干扰其他观众观看的同时，有效减少偷拍行为的发生。
图1是本发明实施例提供的一种大数据图像处理装置的结构示意图；
图2是本发明实施例提供的另一种大数据图像处理装置的结构示意图；
图3是本发明实施例提供的大数据服务平台的结构示意图；
图4是本发明实施例提供的具有SD存储卡和输入设备的数据图像处理装置的结构示意图。
为了使本发明的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本发明进行进一步详细说明。应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用于限定本发明。
本发明实施例提供的大数据图像处理装置，通过采用有针对性的、高精度的一系列图像处理设备和图像分析设备对观众席的观众状态进行分析，还通过对影院现场的实时场景图像颜色进行分析，在上述分析的基础上，对观众席中盗拍者的行为进行准确检测和位置识别，最终采取警告机制对偷拍者进行电子提醒，从而在避免干扰其他观众观看的同时，有效减少偷拍行为的发生。
以下结合具体实施例对本发明的具体实现进行详细描述。
图1示出了本发明实施例提供的一种大数据图像处理装置的结构示意图，所述大数据图像处理装置100包括影院内容采集设备110、屏幕检测设备120以及颜色匹配设备130，颜色匹配设备130分别与影院内容采集设备110、屏幕检测设备120连接，用于基于影院内容采集设备110和屏幕检测设备120的输出确定影院内是否存在偷拍行为，屏幕检测设备120在大数据服务平台140上。通过对影院现场的实时场景图像颜色进行分析，在上述分析的基础上，对观众席中盗拍者的行为进行准确检测和位置识别，最终采取警告机制对偷拍者进行电子提醒，从而在避免干扰其他观众观看的同时，有效减少偷拍行为的发生。
作为本发明的一个优选实施例，如图2所示，所述大数据图像处理装置100包括：影院内容采集设备设备110，设置在影院幕布对面，用于实时采集影院幕布上的场景图像颜色以作为实时场景图像颜色输出；屏幕颜色检测设备150，设置在剧院的后台控制室内，与屏幕检测设备120连接以接收每一个屏幕子图像颜色和其对应的座位编号，用于基于每一个屏幕子图像颜色的各个像素的灰度值计算每一个屏幕子图像的屏幕颜色以作为实时屏幕颜色输出；颜色匹配设备130，设置在剧院的后台控制室内，分别与影院内容采集设备110和屏幕颜色检测设备150连接，用于接收实时场景图像颜色以及接收每一个屏幕子图像的实时屏幕颜色，将每一个屏幕子图像的实时屏幕颜色与实时场景图像颜色进行匹配，当存在屏幕子图像的实时屏幕颜色减去实时场景图像颜色的差值大于等于预设颜色阈值时，将屏幕子图像对应的座位编号作为目标座位编号输出；驱动控制设备160，设置在剧院的后台控制室内，与颜色匹配设备连接，用于基于目标座位编号发出包括目标座位编号的驱动控制信号；电机驱动设备170，设置在剧院的后台控制室内，分别与驱动控制设备连接以接收驱动控制设备发来的驱动控制信号，并对驱动控制信号进行解析以确定目标座位编号，基于目标座位编号确定电机驱动信号；座位警示灯180，每一个观众座位上设置一个，用于接收遥控信号以基于遥控信号进行灯光警示；高清摄像头190，设置在剧院房顶中央位置，用于对剧院舞台对面的观众席进行图像采集以输出高清图像；大数据服务平台140，通过网络与高清摄像头190连接，用于接收高清图像并对高清图像进行处理。
在本发明实施例中，如图3所示，大数据服务平台140包括：灰度化处理设备141，包括通道参数提取单元1411、加权值存储单元1412和灰度值计算单元1413，通道参数提取单元1411与高清摄像头190网络连接，用于接收高清图像以提取出高清图像中每一个像素点的R通道像素值、G通道像素值和B通道像素值，加权值存储单元1412用于预先存储了R通道加权值、G通道加权值和B通道加权值，灰度值计算单元1413分别与通道参数提取单元1411和加权值存储单元1412连接，针对高清图像中每一个像素点，将R通道像素值与R通道加权值的乘积、G通道像素值与G通道加权值的乘积以及B通道像素值与B通道加权值的乘积相加以获取针对的像素点的灰度值，并基于高清图像中各个像素点的灰度值获得高清图像对应的灰度化图像；其中，R通道加权值取值为0.298839，G通道加权值取值为0.586811，B通道加权值取值为0.114350；直方图分布检测设备142，与灰度化处理设备141连接，用于接收灰度化图像，并对灰度化图像进行灰度直方图处理以获得对应的直方图图像，在直方图图像呈现双峰分布时，发出全局阈值选择信号，否则，发出非全局阈值选择信号；阈值选择设备143，与直方图分布检测设备142连接，用于在接收到全局阈值选择信号时，将全局阈值128作为阈值数据输出，在接收到非全局阈值选择信号时，将相邻像素点灰度差阈值40作为阈值数据输出；二值化处理设备145，分别与阈值选择设备和直方图分布检测设备连接，用于在接收到全局阈值选择信号时，针对灰度化图像中的每一个像素点，当灰度值大于等于阈值数据时，将针对的像素点设置为白电平像素点，当灰度值小于阈值数据时，将针对的像素点设置为黑电平像素点，并输出灰度化图像对应的二值化图像；二值化处理设备145还用于在接收到非全局阈值选择信号时，针对灰度化图像中的每一个像素点，计算垂直方向向上距离其3个像素点的像素点的灰度值作为上像素灰度值，计算垂直方向向下距离其3个像素点的像素点的灰度值作为下像素灰度值，计算水平方向向左距离其3个像素点的像素点的灰度值作为左像素灰度值，计算水平方向向右距离其3个像素点的像素点的灰度值作为右像素灰度值，当上像素灰度值和下像素灰度值之差的绝对值小于等于阈值数据且左像素灰度值和右像素灰度值之差的绝对值小于等于阈值数据时，将针对的像素点设置为白电平像素点，当上像素灰度值和下像素灰度值之差的绝对值大于阈值数据或左像素灰度值和右像素灰度值之差的绝对值大于阈值数据时，将针对的像素点设置为黑电平像素点，并输出灰度化图像对应的二值化图像；图像平滑处理设备146，与二值化处理设备145连接，用于接收二值化图像，针对二值化图像中的每一个像素点，当相邻的所有像素点中存在一半以上的跳变点时，则将针对的像素点的灰度值保留，否则，将针对的像素点的灰度值设置为白电平像素点，并输出二值化图像对应的平滑图像；自适应递归滤波设备147，与图像平滑处理设备146连接，用于接收平滑图像，对平滑图像执行自适应递归滤波处理以获得滤波图像；屏幕检测设备，设置在剧院的后台控制室内，通过网络与自适应递归滤波设备连接以获得滤波图像，将滤波图像与预先存储的各种移动终端的屏幕图案进行匹配以检测并分割出滤波图像中的各个屏幕子图像，针对每一个屏幕子图像，针对其在滤波图像中的位置确定针对的屏幕子图像对应的座位编号；其中，针对的屏幕子图像对应的座位编号为持有针对的屏幕子图像对应的移动终端的观众所在的剧院座位编号。
作为本发明的又一个优选实施例，如图4所示，所述装置还包括：SD存储卡1101和输入设备1102。所述SD存储卡1101，用于存储预设颜色阈值；所述输入设备1102，与SD存储卡连接，用于基于用户的操作，输入预设颜色阈值。其中，所述输入设备为触摸屏或键盘阵列。
在本发明实施例中，所述大数据服务平台140连接的网络是移动通信网络，所述移动通信网络为3G通信网络或4G通信网络。
上述发明实施例提供的大数据图像处理装置，通过采用有针对性的、高精度的一系列图像处理设备和图像分析设备对观众席的观众状态进行分析，还通过对影院现场的实时场景图像颜色进行分析，在上述分析的基础上，对观众席中盗拍者的行为进行准确检测和位置识别，最终采取警告机制对偷拍者进行电子提醒，从而在避免干扰其他观众观看的同时，有效减少偷拍行为的发生。
以上所述仅为本发明的较佳实施例而已，并不用以限制本发明，凡在本发明的精神和原则之内所作的任何修改、等同替换和改进等，均应包含在本发明的保护范围之内。
Claims (8)
- 一种大数据图片处理装置，其特征在于，所述装置包括影院内容采集设备、屏幕检测设备以及颜色匹配设备，颜色匹配设备分别与影院内容采集设备、屏幕检测设备连接，用于基于影院内容采集设备和屏幕检测设备的输出确定影院内是否存在偷拍行为，屏幕检测设备在大数据服务平台上。
- 如权利要求1所述的大数据处理装置，其特征在于，所述装置包括：影院内容采集设备设备，设置在影院幕布对面，用于实时采集影院幕布上的场景图像颜色以作为实时场景图像颜色输出；屏幕颜色检测设备，设置在剧院的后台控制室内，与屏幕检测设备连接以接收每一个屏幕子图像颜色和其对应的座位编号，用于基于每一个屏幕子图像颜色的各个像素的灰度值计算每一个屏幕子图像的屏幕颜色以作为实时屏幕颜色输出；颜色匹配设备，设置在剧院的后台控制室内，分别与影院内容采集设备和屏幕颜色检测设备连接，用于接收实时场景图像颜色以及接收每一个屏幕子图像的实时屏幕颜色，将每一个屏幕子图像的实时屏幕颜色与实时场景图像颜色进行匹配，当存在屏幕子图像的实时屏幕颜色减去实时场景图像颜色的差值大于等于预设颜色阈值时，将屏幕子图像对应的座位编号作为目标座位编号输出；驱动控制设备，设置在剧院的后台控制室内，与颜色匹配设备连接，用于基于目标座位编号发出包括目标座位编号的驱动控制信号；电机驱动设备，设置在剧院的后台控制室内，分别与驱动控制设备连接以接收驱动控制设备发来的驱动控制信号，并对驱动控制信号进行解析以确定目标座位编号，基于目标座位编号确定电机驱动信号；座位警示灯，每一个观众座位上设置一个，用于接收遥控信号以基于遥控信号进行灯光警示；高清摄像头，设置在剧院房顶中央位置，用于对剧院舞台对面的观众席进行图像采集以输出高清图像；大数据服务平台，通过网络与高清摄像头连接，用于接收高清图像并对高清图像进行处理。
- 如权利要求1或2所述的大数据处理装置，其特征在于，所述大数据服务平台包括：灰度化处理设备，包括通道参数提取单元、加权值存储单元和灰度值计算单元，通道参数提取单元与高清摄像头网络连接，用于接收高清图像以提取出高清图像中每一个像素点的R通道像素值、G通道像素值和B通道像素值，加权值存储单元用于预先存储了R通道加权值、G通道加权值和B通道加权值，灰度值计算单元分别与通道参数提取单元和加权值存储单元连接，针对高清图像中每一个像素点，将R通道像素值与R通道加权值的乘积、G通道像素值与G通道加权值的乘积以及B通道像素值与B通道加权值的乘积相加以获取针对的像素点的灰度值，并基于高清图像中各个像素点的灰度值获得高清图像对应的灰度化图像；其中，R通道加权值取值为0.298839，G通道加权值取值为0.586811，B通道加权值取值为0.114350；直方图分布检测设备，与灰度化处理设备连接，用于接收灰度化图像，并对灰度化图像进行灰度直方图处理以获得对应的直方图图像，在直方图图像呈现双峰分布时，发出全局阈值选择信号，否则，发出非全局阈值选择信号；阈值选择设备，与直方图分布检测设备连接，用于在接收到全局阈值选择信号时，将全局阈值128作为阈值数据输出，在接收到非全局阈值选择信号时，将相邻像素点灰度差阈值40作为阈值数据输出；二值化处理设备，分别与阈值选择设备和直方图分布检测设备连接，用于在接收到全局阈值选择信号时，针对灰度化图像中的每一个像素点，当灰度值大于等于阈值数据时，将针对的像素点设置为白电平像素点，当灰度值小于阈值数据时，将针对的像素点设置为黑电平像素点，并输出灰度化图像对应的二值化图像；二值化处理设备还用于在接收到非全局阈值选择信号时，针对灰度化图像中的每一个像素点，计算垂直方向向上距离其3个像素点的像素点的灰度值作为上像素灰度值，计算垂直方向向下距离其3个像素点的像素点的灰度值作为下像素灰度值，计算水平方向向左距离其3个像素点的像素点的灰度值作为左像素灰度值，计算水平方向向右距离其3个像素点的像素点的灰度值作为右像素灰度值，当上像素灰度值和下像素灰度值之差的绝对值小于等于阈值数据且左像素灰度值和右像素灰度值之差的绝对值小于等于阈值数据时，将针对的像素点设置为白电平像素点，当上像素灰度值和下像素灰度值之差的绝对值大于阈值数据或左像素灰度值和右像素灰度值之差的绝对值大于阈值数据时，将针对的像素点设置为黑电平像素点，并输出灰度化图像对应的二值化图像；图像平滑处理设备，与二值化处理设备连接，用于接收二值化图像，针对二值化图像中的每一个像素点，当相邻的所有像素点中存在一半以上的跳变点时，则将针对的像素点的灰度值保留，否则，将针对的像素点的灰度值设置为白电平像素点，并输出二值化图像对应的平滑图像；自适应递归滤波设备，与图像平滑处理设备连接，用于接收平滑图像，对平滑图像执行自适应递归滤波处理以获得滤波图像；屏幕检测设备，设置在剧院的后台控制室内，通过网络与自适应递归滤波设备连接以获得滤波图像，将滤波图像与预先存储的各种移动终端的屏幕图案进行匹配以检测并分割出滤波图像中的各个屏幕子图像，针对每一个屏幕子图像，针对其在滤波图像中的位置确定针对的屏幕子图像对应的座位编号；其中，针对的屏幕子图像对应的座位编号为持有针对的屏幕子图像对应的移动终端的观众所在的剧院座位编号。
- 如权利要求2所述的大数据处理装置，其特征在于，所述装置还包括：SD存储卡，用于存储预设颜色阈值。
- 如权利要求4所述的大数据处理装置，其特征在于，所述装置还包括：输入设备，与SD存储卡连接，用于基于用户的操作，输入预设颜色阈值。
- 如权利要求5所述的大数据处理装置，其特征在于，所述输入设备为触摸屏或键盘阵列。
- 如权利要求2所述的大数据处理装置，其特征在于，所述大数据服务平台连接的网络是移动通信网络。
- 如权利要求7所述的大数据处理装置，其特征在于，所述移动通信网络为3G通信网络或4G通信网络。
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105868747A (zh) * | 2016-06-27 | 2016-08-17 | 张兰 | 云计算系统 |
| CN105868748A (zh) * | 2016-06-27 | 2016-08-17 | 张华华 | 基于云处理的数据服务平台 |
| CN106027849A (zh) * | 2016-06-27 | 2016-10-12 | 张兰 | 云端高清图像处理平台 |
| CN106060473A (zh) * | 2016-06-27 | 2016-10-26 | 秦艳 | 大数据处理方法及大数据处理装置 |
-
2017
- 2017-04-28 WO PCT/CN2017/082503 patent/WO2018195957A1/zh active Application Filing
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105868747A (zh) * | 2016-06-27 | 2016-08-17 | 张兰 | 云计算系统 |
| CN105868748A (zh) * | 2016-06-27 | 2016-08-17 | 张华华 | 基于云处理的数据服务平台 |
| CN106027849A (zh) * | 2016-06-27 | 2016-10-12 | 张兰 | 云端高清图像处理平台 |
| CN106060473A (zh) * | 2016-06-27 | 2016-10-26 | 秦艳 | 大数据处理方法及大数据处理装置 |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114611169A (zh) * | 2022-02-11 | 2022-06-10 | 广东时谛智能科技有限公司 | 基于大数据的可选配色方案自动生成方法和装置 |
| CN114611169B (zh) * | 2022-02-11 | 2023-03-03 | 广东时谛智能科技有限公司 | 基于大数据的可选配色方案自动生成方法和装置 |
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