CN109255789B - Image segmentation system based on computer processing - Google Patents
Image segmentation system based on computer processing Download PDFInfo
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Abstract
The invention relates to an image segmentation system based on computer processing, which comprises: the volume detection equipment is arranged in the detection room field and is used for detecting the volume in the detection room field to obtain the real-time field volume; the trigger control equipment is used for receiving the instant on-site volume and sending a capture trigger command when the instant on-site volume is greater than or equal to a preset volume threshold; the MCU control device is used for receiving the signal output image, dividing a plurality of human body contours from the signal output image based on the figure gray level upper limit threshold value and the figure gray level lower limit threshold value, determining whether each human body contour is an animation human body contour based on the image characteristics of an animation figure, and sending an animation film identification signal when the number of the animation human body contours in the signal output image is more than twice of the number of the non-animation human body contours in the signal output image. By the method and the device, the cartoon and the non-cartoon can be accurately distinguished.
Description
Technical Field
The invention relates to the field of computer processing, in particular to an image segmentation system based on computer processing.
Background
The computer is commonly called computer, and is a modern electronic computing machine for high-speed computation, which can perform numerical computation, logic computation and memory function. The intelligent electronic device can be operated according to a program, and can automatically process mass data at a high speed.
A computer that is composed of a hardware system and a software system and does not have any software installed is called a bare metal. The computer can be divided into a super computer, an industrial control computer, a network computer, a personal computer and an embedded computer, and more advanced computers comprise a biological computer, a photon computer, a quantum computer and the like.
Disclosure of Invention
The invention provides an image segmentation system based on computer processing, aiming at solving the technical problem that an animation film and a non-animation film cannot be effectively distinguished.
The invention has at least the following two important points:
(1) only when the volume on site exceeds the limit, starting the analysis of the animation type of the film, improving the directionality and the accuracy of the analysis, and simultaneously, sending an animation identification signal when the number of the animation human body outlines in the image is more than twice of the number of the non-animation human body outlines in the image;
(2) and determining a data processing mode of each channel of the brightness hue and color difference of the processed pixel points based on a preset sliding window with the corresponding size of the resolution mapping of the high-definition image and based on the value distribution condition of the brightness channel of the pixel points in each direction in the preset sliding window, thereby realizing accurate filtering processing of the image signals.
According to an aspect of the invention, there is provided a computer-processing based image segmentation system, the system comprising:
the volume detection equipment is arranged in the detection room field and is used for detecting the volume in the detection room field to obtain the real-time field volume; the trigger control device is connected with the volume detection device and used for receiving the instant on-site volume and sending a capture trigger command when the instant on-site volume is greater than or equal to a preset volume threshold; and the CF storage card is connected with the GPRS communication equipment, is arranged in the field control room and is used for receiving and storing the character gray upper limit threshold value and the character gray lower limit threshold value as well as receiving and storing the image characteristics of the animation character.
More specifically, in the computer-processing-based image segmentation system, the method further includes:
the GPRS communication equipment is connected with a remote content auditing server and is used for receiving data sent by the content auditing server at preset time intervals, and the data sent at the preset time intervals are used for updating the storage content of the CF memory card; and the image acquisition equipment is arranged in the field of the detection room, is positioned at one side of the CF storage card, is connected with the trigger control equipment, and is used for capturing images of the currently detected movie playing content when receiving the capture trigger command so as to obtain a corresponding field captured image and output the instant playing image.
More specifically, in the computer-processing-based image segmentation system, the method further includes:
the first detection device is connected with the image acquisition device and used for receiving the instant playing image, judging noise points of all pixel points in the instant playing image and determining that each pixel point is a noise point or a non-noise point, wherein the first detection device detects various noises in the instant playing image to obtain each noise area in the instant playing image, confirms the pixel point in a certain noise area as a noise point and confirms the pixel point outside each noise area as a non-noise point.
More specifically, in the computer-processing-based image segmentation system, the method further includes:
the second detection device is used for receiving the instant playing image, extracting the resolution of the instant playing image and mapping a preset sliding window with a corresponding size based on the resolution of the instant playing image; the first processing device is connected with the second detection device and used for acquiring the preset sliding window and performing the following processing on each pixel point in the instant playing image: taking each pixel point in the instant playing image as an object pixel point, determining each pixel point in a preset sliding window taking the object pixel point as a centroid in the instant playing image as each pixel point to be evaluated, calculating the mean square error of the brightness channel value of each pixel point to be evaluated after the object pixel point is eliminated in the horizontal direction taking the object pixel point as a center in the preset sliding window, calculating the mean square error of the brightness channel value of each pixel point to be evaluated after the object pixel point is eliminated in the vertical direction taking the object pixel point as a center in the preset sliding window, calculating the mean square error of the brightness channel value of each pixel point to be evaluated after the object pixel point is eliminated in the main diagonal direction taking the object pixel point as a center in the preset sliding window, and calculating the mean square error of the brightness channel value of each pixel point to be evaluated after the object pixel point is eliminated in the auxiliary diagonal direction taking the object pixel point as a center in the preset sliding window Obtaining the minimum value of the four mean square deviations of the luminance channel values of each pixel point to be evaluated; the second processing device is connected with the first processing device and carries out the following processing on each pixel point in the instant playing image: taking each pixel point in the instant playing image as an object pixel point, taking the mean value of the brightness channel values of each pixel point to be evaluated after the object pixel point is eliminated in the direction corresponding to the minimum value obtained by the first processing device as the processed brightness channel value of the object pixel point, taking the mean value of the hue channel values of each pixel point to be evaluated after the object pixel point is eliminated in the direction corresponding to the minimum value as the processed hue channel value of the object pixel point, and taking the mean value of the color difference channel values of each pixel point to be evaluated after the object pixel point is eliminated in the direction corresponding to the minimum value as the processed color difference channel value of the object pixel point; the first output device is connected with the second processing device and is used for acquiring a signal output image corresponding to the instant playing image based on the processed brightness channel value, the processed hue channel value and the processed color difference channel value of each pixel point in the instant playing image; the MCU control device is respectively connected with the CF storage card and the first output device and is used for receiving the signal output image, dividing a plurality of human body contours from the signal output image based on a character gray upper limit threshold and a character gray lower limit threshold, determining whether each human body contour is an animation human body contour based on the image characteristics of an animation character, and sending an animation recognition signal when the number of the animation human body contours in the signal output image is more than twice of the number of non-animation human body contours in the signal output image; the field display equipment is connected with the MCU control equipment and is used for displaying the character information corresponding to the animation film identification signal when receiving the animation film identification signal; and the field display equipment is also used for displaying the character information corresponding to the animation film unidentified signal when receiving the animation film unidentified signal.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a pin diagram illustrating an MCU control device of a computer-based image segmentation system according to an embodiment of the present invention.
Detailed Description
Embodiments of the computer-based image segmentation system of the present invention will be described in detail below with reference to the accompanying drawings.
The computer inventor, john von neumann. The computer is one of the most advanced scientific and technical inventions in the 20 th century, has extremely important influence on the production activities and social activities of human beings, and develops rapidly with strong vitality.
The application field of the computer is expanded from the initial military scientific research application to various social fields, a large-scale computer industry is formed, the technology progress in the global range is driven, the deep social revolution is caused, and the computer is spread over general schools, enterprises and public institutions, enters common people and becomes an essential tool in the information society.
The application of computers is more and more common in China, after the innovation is opened, the number of Chinese computer users is continuously increased, the application level is continuously improved, and particularly, the application in the fields of Internet, communication, multimedia and the like obtains good results.
In order to overcome the defects, the invention builds an image segmentation system based on computer processing, and can effectively solve the corresponding technical problem.
Fig. 1 is a pin diagram illustrating an MCU control device of a computer-based image segmentation system according to an embodiment of the present invention.
A computer-based image segmentation system shown according to an embodiment of the present invention comprises:
the volume detection equipment is arranged in the detection room field and is used for detecting the volume in the detection room field to obtain the real-time field volume;
the trigger control device is connected with the volume detection device and used for receiving the instant on-site volume and sending a capture trigger command when the instant on-site volume is greater than or equal to a preset volume threshold;
and the CF storage card is connected with the GPRS communication equipment, is arranged in the field control room and is used for receiving and storing the character gray upper limit threshold value and the character gray lower limit threshold value as well as receiving and storing the image characteristics of the animation character.
Next, the specific configuration of the computer-processing-based image segmentation system according to the present invention will be further described.
In the computer-processing based image segmentation system, further comprising:
the GPRS communication equipment is connected with a remote content auditing server and is used for receiving data sent by the content auditing server at preset time intervals, and the data sent at the preset time intervals are used for updating the storage content of the CF memory card;
and the image acquisition equipment is arranged in the field of the detection room, is positioned at one side of the CF storage card, is connected with the trigger control equipment, and is used for capturing images of the currently detected movie playing content when receiving the capture trigger command so as to obtain a corresponding field captured image and output the instant playing image.
In the computer-processing based image segmentation system, further comprising:
the first detection device is connected with the image acquisition device and used for receiving the instant playing image, judging noise points of all pixel points in the instant playing image and determining that each pixel point is a noise point or a non-noise point, wherein the first detection device detects various noises in the instant playing image to obtain each noise area in the instant playing image, confirms the pixel point in a certain noise area as a noise point and confirms the pixel point outside each noise area as a non-noise point.
In the computer-processing based image segmentation system, further comprising:
the second detection device is used for receiving the instant playing image, extracting the resolution of the instant playing image and mapping a preset sliding window with a corresponding size based on the resolution of the instant playing image;
the first processing device is connected with the second detection device and used for acquiring the preset sliding window and performing the following processing on each pixel point in the instant playing image: taking each pixel point in the instant playing image as an object pixel point, determining each pixel point in a preset sliding window taking the object pixel point as a centroid in the instant playing image as each pixel point to be evaluated, calculating the mean square error of the brightness channel value of each pixel point to be evaluated after the object pixel point is eliminated in the horizontal direction taking the object pixel point as a center in the preset sliding window, calculating the mean square error of the brightness channel value of each pixel point to be evaluated after the object pixel point is eliminated in the vertical direction taking the object pixel point as a center in the preset sliding window, calculating the mean square error of the brightness channel value of each pixel point to be evaluated after the object pixel point is eliminated in the main diagonal direction taking the object pixel point as a center in the preset sliding window, and calculating the mean square error of the brightness channel value of each pixel point to be evaluated after the object pixel point is eliminated in the auxiliary diagonal direction taking the object pixel point as a center in the preset sliding window Obtaining the minimum value of the four mean square deviations of the luminance channel values of each pixel point to be evaluated;
the second processing device is connected with the first processing device and carries out the following processing on each pixel point in the instant playing image: taking each pixel point in the instant playing image as an object pixel point, taking the mean value of the brightness channel values of each pixel point to be evaluated after the object pixel point is eliminated in the direction corresponding to the minimum value obtained by the first processing device as the processed brightness channel value of the object pixel point, taking the mean value of the hue channel values of each pixel point to be evaluated after the object pixel point is eliminated in the direction corresponding to the minimum value as the processed hue channel value of the object pixel point, and taking the mean value of the color difference channel values of each pixel point to be evaluated after the object pixel point is eliminated in the direction corresponding to the minimum value as the processed color difference channel value of the object pixel point;
the first output device is connected with the second processing device and is used for acquiring a signal output image corresponding to the instant playing image based on the processed brightness channel value, the processed hue channel value and the processed color difference channel value of each pixel point in the instant playing image;
the MCU control device is respectively connected with the CF storage card and the first output device and is used for receiving the signal output image, dividing a plurality of human body contours from the signal output image based on a character gray upper limit threshold and a character gray lower limit threshold, determining whether each human body contour is an animation human body contour based on the image characteristics of an animation character, and sending an animation recognition signal when the number of the animation human body contours in the signal output image is more than twice of the number of non-animation human body contours in the signal output image;
the field display equipment is connected with the MCU control equipment and is used for displaying the character information corresponding to the animation film identification signal when receiving the animation film identification signal;
and the field display equipment is also used for displaying the character information corresponding to the animation film unidentified signal when receiving the animation film unidentified signal.
In the computer-processing based image segmentation system: in the second detection device, the larger the resolution of the instant playing image is, the larger the radial length of the mapped preset sliding window is.
In the computer-processing based image segmentation system: the first processing device includes a data receiving unit, a horizontal direction evaluation unit, a vertical direction evaluation unit, a main diagonal direction evaluation unit, a sub diagonal direction evaluation unit, and a data output unit.
In the computer-processing based image segmentation system: the main diagonal direction is a direction from the lower left corner of the preset sliding window to the upper right corner of the preset sliding window, and the auxiliary diagonal direction is a direction from the lower right corner of the preset sliding window to the upper left corner of the preset sliding window.
In the computer-processing based image segmentation system: and the MCU control equipment is also used for sending an animation film unidentified signal when the number of the animation human body outlines in the signal output image is less than twice of the number of the non-animation human body outlines in the signal output image.
In the computer-processing based image segmentation system: the trigger control device is further configured to issue a capture stop command when the instantaneous on-site volume is less than the preset volume threshold.
In the computer-processing based image segmentation system: the image acquisition equipment is further used for receiving image capture of the currently detected movie playing content when the capture stop command is received.
Additionally, in the computer-processing based image segmentation system: MCU control devices can be classified into Harvard (Harvard) and Von Neumann (Von Neumann) structures according to their memory structures. Most of the current single-chip computers are based on a von Neumann structure, and the structure clearly defines four essential parts required by an embedded system: a central processor core, program memory (read only memory or flash memory), data memory (random access memory), one or more timers/timers, and input/output ports for communicating with peripherals and extended resources, all integrated on a single integrated circuit chip.
By adopting the image segmentation system based on computer processing, aiming at the technical problem that the non-animated cartoon of the animated cartoon in the prior art can not be effectively distinguished, the analysis of the animated cartoon type of the film is started only when the field volume exceeds a limited amount, so that the directionality and the accuracy of the analysis are improved, and meanwhile, when the number of the animated human body contours in the image is more than twice of the number of the non-animated human body contours in the image, an animated recognition signal is sent out; determining a data processing mode of each channel of the brightness hue color difference of the processed pixel point based on a preset sliding window with the corresponding size of the resolution mapping of the high-definition image and based on the value distribution condition of the brightness channel of the pixel point in each direction in the preset sliding window, thereby realizing accurate filtering processing of the image signal; thereby solving the technical problem.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (5)
1. A computer-processing based image segmentation system, the system comprising:
the volume detection equipment is arranged in the detection room field and is used for detecting the volume in the detection room field to obtain the real-time field volume;
the trigger control device is connected with the volume detection device and used for receiving the instant on-site volume and sending a capture trigger command when the instant on-site volume is greater than or equal to a preset volume threshold;
the CF storage card is connected with the GPRS communication equipment, arranged in the field control room and used for receiving and storing the figure gray level upper limit threshold value and the figure gray level lower limit threshold value and receiving and storing the image characteristics of the animation figure;
the GPRS communication equipment is connected with a remote content auditing server and is used for receiving data sent by the content auditing server at preset time intervals, and the data sent at the preset time intervals are used for updating the storage content of the CF memory card;
the image acquisition equipment is arranged in the field of the detection room, is positioned at one side of the CF storage card, is connected with the trigger control equipment, and is used for capturing images of the currently detected movie playing content when receiving the capture trigger command so as to obtain a corresponding field captured image and outputting an instant playing image;
the first detection device is connected with the image acquisition device and used for receiving the instant playing image, judging noise points of all pixel points in the instant playing image and determining that each pixel point is a noise point or a non-noise point, wherein the first detection device detects various noises in the instant playing image to obtain each noise area in the instant playing image, confirms the pixel point in a certain noise area as a noise point and confirms the pixel point outside each noise area as a non-noise point;
the second detection device is used for receiving the instant playing image, extracting the resolution of the instant playing image and mapping a preset sliding window with a corresponding size based on the resolution of the instant playing image;
the first processing device is connected with the second detection device and used for acquiring the preset sliding window and performing the following processing on each pixel point in the instant playing image: taking each pixel point in the instant playing image as an object pixel point, determining each pixel point in a preset sliding window taking the object pixel point as a centroid in the instant playing image as each pixel point to be evaluated, calculating the mean square error of the brightness channel value of each pixel point to be evaluated after the object pixel point is eliminated in the horizontal direction taking the object pixel point as a center in the preset sliding window, calculating the mean square error of the brightness channel value of each pixel point to be evaluated after the object pixel point is eliminated in the vertical direction taking the object pixel point as a center in the preset sliding window, calculating the mean square error of the brightness channel value of each pixel point to be evaluated after the object pixel point is eliminated in the main diagonal direction taking the object pixel point as a center in the preset sliding window, and calculating the mean square error of the brightness channel value of each pixel point to be evaluated after the object pixel point is eliminated in the auxiliary diagonal direction taking the object pixel point as a center in the preset sliding window Obtaining the minimum value of the four mean square deviations of the luminance channel values of each pixel point to be evaluated;
the second processing device is connected with the first processing device and carries out the following processing on each pixel point in the instant playing image: taking each pixel point in the instant playing image as an object pixel point, taking the mean value of the brightness channel values of each pixel point to be evaluated after the object pixel point is eliminated in the direction corresponding to the minimum value obtained by the first processing device as the processed brightness channel value of the object pixel point, taking the mean value of the hue channel values of each pixel point to be evaluated after the object pixel point is eliminated in the direction corresponding to the minimum value as the processed hue channel value of the object pixel point, and taking the mean value of the color difference channel values of each pixel point to be evaluated after the object pixel point is eliminated in the direction corresponding to the minimum value as the processed color difference channel value of the object pixel point;
the first output device is connected with the second processing device and is used for acquiring a signal output image corresponding to the instant playing image based on the processed brightness channel value, the processed hue channel value and the processed color difference channel value of each pixel point in the instant playing image;
the MCU control device is respectively connected with the CF storage card and the first output device and is used for receiving the signal output image, dividing a plurality of human body contours from the signal output image based on a character gray upper limit threshold and a character gray lower limit threshold, determining whether each human body contour is an animation human body contour based on the image characteristics of an animation character, and sending an animation recognition signal when the number of the animation human body contours in the signal output image is more than twice of the number of non-animation human body contours in the signal output image;
the field display equipment is connected with the MCU control equipment and is used for displaying the character information corresponding to the animation film identification signal when receiving the animation film identification signal;
the field display equipment is also used for displaying character information corresponding to the animation film unidentified signal when receiving the animation film unidentified signal;
wherein the MCU control device is divided into a harvard architecture and a von neumann architecture according to its memory architecture, wherein the von neumann architecture defines four basic parts of an embedded system: a central processor core, program memory, data memory and one or more timing/timer, and input/output ports for communicating with peripheral devices and expansion resources, all integrated on a single integrated circuit chip.
2. The computer-processing based image segmentation system of claim 1, wherein:
in the second detection device, the larger the resolution of the instant playing image is, the larger the radial length of the mapped preset sliding window is.
3. The computer-processing based image segmentation system of claim 1, wherein:
the first processing device includes a data receiving unit, a horizontal direction evaluation unit, a vertical direction evaluation unit, a main diagonal direction evaluation unit, a sub diagonal direction evaluation unit, and a data output unit.
4. The computer-processing based image segmentation system of claim 1, wherein:
the main diagonal direction is a direction from the lower left corner of the preset sliding window to the upper right corner of the preset sliding window, and the auxiliary diagonal direction is a direction from the lower right corner of the preset sliding window to the upper left corner of the preset sliding window.
5. The computer-processing based image segmentation system of claim 1, wherein:
and the MCU control equipment is also used for sending an animation film unidentified signal when the number of the animation human body outlines in the signal output image is less than twice of the number of the non-animation human body outlines in the signal output image.
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