CN110417990B - APP starting system based on target analysis - Google Patents
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
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- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
- H04M1/7243—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality with interactive means for internal management of messages
- H04M1/72439—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality with interactive means for internal management of messages for image or video messaging
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
- H04M1/72454—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
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Abstract
The invention relates to an APP starting system based on target analysis, which comprises: the area analysis equipment is arranged in the mobile phone and used for executing face detection on the received multiple filtering images based on the face imaging characteristics and sending a first control instruction when the face target with the shallowest depth of field in the detected face targets occupies the area ratio of the multiple filtering images to exceed the limit; and the main control equipment is used for simultaneously starting the beauty APP and the filter APP when receiving the first control command, and placing the beauty APP and the filter APP in the background for running. The APP starting system based on the target analysis is compact in structure and convenient to operate. Because the analysis of the image area proportion occupied by the face target is carried out on the currently shot image, when the image area proportion occupied by the face target with the shallowest depth of field exceeds the limit, the background starts the beautifying APP and the filter APP to automatically carry out corresponding image processing and display, thereby reducing the operation links of a user.
Description
Technical Field
The invention relates to the field of application programs (APP), in particular to an APP starting system based on target analysis.
Background
The third-party Application Program APP is an abbreviation of Application Program. Mobile applications have affected a range of industries from the advertising industry to the gaming industry in 2010, and have become part of our daily lives, and IDC analysis has suggested that mobile application downloads will be nearly 769 hundred million times by 2014. The advent of mobile application stores, such as those created by apple, nokia, google, and GetJar, also provides a direct channel for program developers to distribute mobile applications.
Tablet computers and smart phones promote more service demands of users on the mobile internet, including Android series, Symbian series, blackberries and iphones, and the global shipment volume of smart phones is higher than that of personal computers at present. At present, the apple App Store application software is more than 30 ten thousand, the downloading amount is more than 40 hundred million times, various applications of a Facebook open platform are more than 55 ten thousand, and the number of applications on a nose progenitor Twitter open platform in the microblog industry is more than 10 ten thousand.
Disclosure of Invention
The invention has at least the following two important points:
(1) analyzing the image area proportion occupied by the face target of the currently shot image, and starting a beauty APP and a filter APP at a background to automatically perform corresponding image processing and display when the image area proportion occupied by the face target with the shallowest depth of field is over limit, namely when the user shooting mode similar to a big photo is determined to be entered, so that the requirements of the user are met, and the operation links of the user are reduced;
(2) the average value of each maximum amplitude of various types of noise in the image is selected as a judgment factor of the subsequent filtering times so as to realize the self-adaptive filtering processing of the image, thereby ensuring the filtering effect of various image data.
According to an aspect of the present invention, there is provided an APP starting system based on target analysis, the system including:
the area analysis device is arranged in the mobile phone, is connected with the homomorphic filtering device, and is used for carrying out face detection on the received multiple filtering images based on the face imaging characteristics, and sending out a first control instruction when the face target with the shallowest depth of field in the detected face targets occupies the area proportion of the multiple filtering images to exceed the limit, otherwise, sending out a second control instruction;
the main control equipment is arranged in the mobile phone, is connected with the area analysis equipment and is used for simultaneously starting the beauty APP and the filter APP when receiving the first control command, placing the beauty APP and the filter APP in a background for running, sequentially processing the real-time captured image through the beauty APP and the filter APP to obtain a successively processed image, and replacing the successively processed image with the real-time captured image to display on a display screen of the mobile phone;
the embedded camera equipment is arranged on a front panel of the mobile phone and is used for carrying out real-time camera shooting operation on the front of the mobile phone so as to obtain and output a real-time captured image;
the data enhancement equipment is connected with the embedded camera equipment and used for receiving the real-time captured image and executing image enhancement processing on the real-time captured image to obtain a corresponding data enhancement image;
the noise monitoring device is connected with the data enhancement device and used for receiving the data enhancement image and identifying various types of noise in the data enhancement image;
the amplitude analysis device is connected with the noise monitoring device and is used for outputting the average value of the maximum amplitudes of various types of noise in the data enhanced image as a representative amplitude;
the gear control device is connected with the amplitude analysis device, is used for determining the processing times in direct proportion to the representative amplitude when the received representative amplitude exceeds the limit, is also used for setting the processing times to be 1 when the received representative amplitude does not exceed the limit, and is also used for outputting the processing times;
the guiding filtering equipment is respectively connected with the gear control equipment and the data enhancement equipment and is used for determining the times of executing guiding filtering on the received data enhancement image based on the received processing times and executing one or more times of guiding filtering on the data enhancement image according to the determined times of executing the guiding filtering so as to obtain and output a corresponding guiding filtering image;
and the homomorphic filtering equipment is respectively connected with the gear control equipment and the guiding filtering equipment and is used for determining the times of executing homomorphic filtering on the received guiding filtering image based on the received processing times and executing one or more times of homomorphic filtering on the guiding filtering image according to the determined times of executing homomorphic filtering so as to obtain and output corresponding multiple filtering images.
The APP starting system based on the target analysis is compact in structure and convenient to operate. Because the analysis of the image area proportion occupied by the face target is carried out on the currently shot image, when the image area proportion occupied by the face target with the shallowest depth of field exceeds the limit, the background starts the beautifying APP and the filter APP to automatically carry out corresponding image processing and display, thereby reducing the operation links of a user.
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Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a front-back side view of a mobile phone to which an APP start system based on target analysis is applied according to an embodiment of the present invention.
Detailed Description
An embodiment of the target analysis based APP start system of the present invention will be described in detail below with reference to the accompanying drawings.
The beauty software is used for browsing and learning anytime and anywhere and can be used for beautifying when people lie at home. The beauty tool integrates skin whitening, acne removing, makeup, social makeup, self-made facial mask and natural beauty, can browse and study when lying at home, and is not limited by places, time and space.
The filter is mainly used for realizing various special effects of the image. He has a very miraculous role in Photoshop. All the filters are placed in a menu according to categories in Photoshop, and only the command needs to be executed from the menu when the Photoshop is used. The operation of the filter is very simple but it is very difficult to do it in practice. Filters are often used in conjunction with channels, layers, etc. to achieve the best artistic results. If one wants to apply the filter to the most appropriate position at the most appropriate time, one needs to have the familiarity and the handling ability of the user for the filter in addition to the usual art skill, and even a great imagination. Therefore, the filter can be purposefully applied, and the talent and talent of art are brought into play.
Currently, in order to meet the beauty requirements of users, especially for female users, mobile phone manufacturers and third party developers, various specific beauty APPs and filter APPs are designed for mobile phone users, however, the beauty APP and the filter APP on the mobile phone must perform image processing on currently shot images, such as photos, under the condition that the users select, and the operation is cumbersome.
In order to overcome the defects, the invention builds an APP starting system based on target analysis, and can effectively solve the corresponding technical problem.
Fig. 1 is a front-back side view of a mobile phone to which an APP start system based on target analysis is applied according to an embodiment of the present invention.
The APP starting system based on the target analysis comprises the following components:
the area analysis device is arranged in the mobile phone, is connected with the homomorphic filtering device, and is used for carrying out face detection on the received multiple filtering images based on the face imaging characteristics, and sending out a first control instruction when the face target with the shallowest depth of field in the detected face targets occupies the area proportion of the multiple filtering images to exceed the limit, otherwise, sending out a second control instruction;
the main control equipment is arranged in the mobile phone, is connected with the area analysis equipment and is used for simultaneously starting the beauty APP and the filter APP when receiving the first control command, placing the beauty APP and the filter APP in a background for running, sequentially processing the real-time captured image through the beauty APP and the filter APP to obtain a successively processed image, and replacing the successively processed image with the real-time captured image to display on a display screen of the mobile phone;
the embedded camera equipment is arranged on a front panel of the mobile phone and is used for carrying out real-time camera shooting operation on the front of the mobile phone so as to obtain and output a real-time captured image;
the data enhancement equipment is connected with the embedded camera equipment and used for receiving the real-time captured image and executing image enhancement processing on the real-time captured image to obtain a corresponding data enhancement image;
the noise monitoring device is connected with the data enhancement device and used for receiving the data enhancement image and identifying various types of noise in the data enhancement image;
the amplitude analysis device is connected with the noise monitoring device and is used for outputting the average value of the maximum amplitudes of various types of noise in the data enhanced image as a representative amplitude;
the gear control device is connected with the amplitude analysis device, is used for determining the processing times in direct proportion to the representative amplitude when the received representative amplitude exceeds the limit, is also used for setting the processing times to be 1 when the received representative amplitude does not exceed the limit, and is also used for outputting the processing times;
the guiding filtering equipment is respectively connected with the gear control equipment and the data enhancement equipment and is used for determining the times of executing guiding filtering on the received data enhancement image based on the received processing times and executing one or more times of guiding filtering on the data enhancement image according to the determined times of executing the guiding filtering so as to obtain and output a corresponding guiding filtering image;
homomorphic filtering equipment which is respectively connected with the gear control equipment and the guiding filtering equipment and is used for determining the times of executing homomorphic filtering on the received guiding filtering image based on the received processing times and executing homomorphic filtering for one time or a plurality of times on the guiding filtering image according to the determined times of executing homomorphic filtering so as to obtain and output corresponding multi-time filtering images;
the main control equipment is also used for directly displaying the real-time captured image on a display screen of the mobile phone when receiving the second control instruction
Wherein the gear control device, the guiding filter device and the homomorphic filter device share the same 16-bit parallel data bus.
Next, the specific structure of the target analysis based APP start system of the present invention will be further described.
In the target analysis-based APP startup system:
the data enhancement device, the noise monitoring device and the amplitude analysis device share the same power supply device.
In the APP starting system based on the target analysis, the method further includes:
and the radial radius acquisition equipment is connected with the homomorphic filtering equipment and used for receiving the multiple filtered images, performing spot identification on the multiple filtered images to obtain each spot area in the multiple filtered images, measuring the radial radius of each spot area, and sorting the radial radii of each spot area to obtain the maximum radial radius in the spot areas.
In the APP starting system based on the target analysis, the method further includes:
and the window defining equipment is connected with the radial radius acquisition equipment and is used for acquiring the shape of the spot area corresponding to the maximum radial radius and determining a corresponding mean value filtering window based on the shape of the spot area corresponding to the maximum radial radius.
In the APP starting system based on the target analysis, the method further includes:
the signal replacement equipment is respectively connected with the radial radius acquisition equipment and the window definition equipment, and is used for receiving the mean value filtering window and executing the following filtering processing operation on pixel points of the multi-time filtering image: in the multi-time filtering image, acquiring each pixel value of each pixel point in an average filtering window taking the pixel point of the multi-time filtering image as a center to be used as a target pixel value, wherein the closer the pixel point of the multi-time filtering image is to the pixel point of the multi-time filtering image in the average filtering window taking the pixel point of the multi-time filtering image as the center, the larger the weight coefficient is, and the replacement pixel value of the pixel point of the multi-time filtering image is determined based on each target pixel value and the corresponding weight coefficient respectively so as to replace the original pixel value of the pixel point of the multi-time filtering image, so that a data replacement image corresponding to the multi-time filtering image is obtained; in the signal replacement device, determining replacement pixel values of the pixel points of the multi-pass filtered image based on the respective target pixel values and the respective corresponding weight coefficients to replace original pixel values of the pixel points of the multi-pass filtered image includes: and multiplying each target pixel value by the corresponding weight coefficient to obtain a product term corresponding to the target pixel value, adding the product terms of the target pixel values, and dividing the addition result by the sum of the weight coefficients of the target pixel values to obtain a replacement pixel value of a pixel point of the multi-time filtering image.
In the target analysis-based APP startup system:
the signal replacing device is also connected with the area analyzing device and used for outputting the data replacing image to the area analyzing device instead of the multi-time filtering image.
In the target analysis-based APP startup system:
the signal replacement device includes a filter window receiving unit, a distance detecting unit, a weight coefficient determining unit, and a filter executing unit.
In the target analysis-based APP startup system:
the distance detection unit is respectively connected with the filtering window receiving unit and the weight coefficient determining unit.
In the target analysis-based APP startup system:
the weight coefficient determining unit is respectively connected with the distance detecting unit and the filtering executing unit;
wherein, in the window defining device, determining the corresponding mean filter window based on the shape of the spot region corresponding to the maximum radial radius comprises: the shape of the corresponding mean filter window matches the shape of the spot region corresponding to the maximum radial radius.
In the target analysis-based APP startup system:
in the window defining device, determining the respective mean filter window based on the shape of the spot region corresponding to the maximum radial radius comprises: the radial radius of the corresponding mean filter window matches the maximum radial radius.
In addition, the main control equipment is a bus type single chip microcomputer. The single chip computer (Microcontrollers) is an integrated circuit chip, and is a small and perfect microcomputer system formed by integrating the functions of a central processing unit CPU with data processing capacity, a random access memory RAM, a read only memory ROM, various I/O ports, an interrupt system, a timer/counter and the like (possibly including a display drive circuit, a pulse width modulation circuit, an analog multiplexer, an A/D converter and the like) on a silicon chip by adopting a super-large scale integrated circuit technology, and is widely applied to the field of industrial control. The bus type single chip microcomputer is generally provided with a parallel address bus, a data bus and a control bus, pins for expanding parallel peripheral devices can be connected with the single chip microcomputer through serial ports, in addition, a plurality of single chip microcomputers integrate the required peripheral devices and peripheral interfaces into one chip, so that the parallel expansion bus can be omitted under many conditions, the packaging cost and the chip volume are greatly reduced, and the single chip microcomputer is called as a non-bus type single chip microcomputer.
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 (10)
1. An APP starting system based on target analysis is characterized by comprising:
the area analysis device is arranged in the mobile phone, is connected with the homomorphic filtering device, and is used for carrying out face detection on the received multiple filtering images based on the face imaging characteristics, and sending out a first control instruction when the face target with the shallowest depth of field in the detected face targets occupies the area proportion of the multiple filtering images to exceed the limit, otherwise, sending out a second control instruction;
the main control equipment is arranged in the mobile phone, is connected with the area analysis equipment and is used for simultaneously starting the beauty APP and the filter APP when receiving the first control command, placing the beauty APP and the filter APP in a background for running, sequentially processing the real-time captured image through the beauty APP and the filter APP to obtain a successively processed image, and replacing the successively processed image with the real-time captured image to display on a display screen of the mobile phone;
the embedded camera equipment is arranged on a front panel of the mobile phone and is used for carrying out real-time camera shooting operation on the front of the mobile phone so as to obtain and output a real-time captured image;
the data enhancement equipment is connected with the embedded camera equipment and used for receiving the real-time captured image and executing image enhancement processing on the real-time captured image to obtain a corresponding data enhancement image;
the noise monitoring device is connected with the data enhancement device and used for receiving the data enhancement image and identifying various types of noise in the data enhancement image;
the amplitude analysis device is connected with the noise monitoring device and is used for outputting the average value of the maximum amplitudes of various types of noise in the data enhanced image as a representative amplitude;
the gear control device is connected with the amplitude analysis device, is used for determining the processing times in direct proportion to the representative amplitude when the received representative amplitude exceeds the limit, is also used for setting the processing times to be 1 when the received representative amplitude does not exceed the limit, and is also used for outputting the processing times;
the guiding filtering equipment is respectively connected with the gear control equipment and the data enhancement equipment and is used for determining the times of executing guiding filtering on the received data enhancement image based on the received processing times and executing one or more times of guiding filtering on the data enhancement image according to the determined times of executing the guiding filtering so as to obtain and output a corresponding guiding filtering image;
homomorphic filtering equipment which is respectively connected with the gear control equipment and the guiding filtering equipment and is used for determining the times of executing homomorphic filtering on the received guiding filtering image based on the received processing times and executing homomorphic filtering for one time or a plurality of times on the guiding filtering image according to the determined times of executing homomorphic filtering so as to obtain and output corresponding multi-time filtering images;
the main control equipment is also used for directly displaying the real-time captured image on a display screen of the mobile phone when receiving the second control instruction
Wherein the gear control device, the guiding filter device and the homomorphic filter device share the same 16-bit parallel data bus.
2. The target analysis-based APP startup system of claim 1 wherein:
the data enhancement device, the noise monitoring device and the amplitude analysis device share the same power supply device.
3. The target analysis-based APP startup system of claim 2 wherein said system further comprises:
and the radial radius acquisition equipment is connected with the homomorphic filtering equipment and used for receiving the multiple filtered images, performing spot identification on the multiple filtered images to obtain each spot area in the multiple filtered images, measuring the radial radius of each spot area, and sorting the radial radii of each spot area to obtain the maximum radial radius in the spot areas.
4. The target analysis-based APP startup system of claim 3 wherein said system further comprises:
and the window defining equipment is connected with the radial radius acquisition equipment and is used for acquiring the shape of the spot area corresponding to the maximum radial radius and determining a corresponding mean value filtering window based on the shape of the spot area corresponding to the maximum radial radius.
5. The target analysis-based APP startup system of claim 4 wherein the system further comprises:
the signal replacement equipment is respectively connected with the radial radius acquisition equipment and the window definition equipment, and is used for receiving the mean value filtering window and executing the following filtering processing operation on pixel points of the multi-time filtering image: in the multi-time filtering image, acquiring each pixel value of each pixel point in an average filtering window taking the pixel point of the multi-time filtering image as a center to be used as a target pixel value, wherein the closer the pixel point of the multi-time filtering image is to the pixel point of the multi-time filtering image in the average filtering window taking the pixel point of the multi-time filtering image as the center, the larger the weight coefficient is, and the replacement pixel value of the pixel point of the multi-time filtering image is determined based on each target pixel value and the corresponding weight coefficient respectively so as to replace the original pixel value of the pixel point of the multi-time filtering image, so that a data replacement image corresponding to the multi-time filtering image is obtained; in the signal replacement device, determining replacement pixel values of the pixel points of the multi-pass filtered image based on the respective target pixel values and the respective corresponding weight coefficients to replace original pixel values of the pixel points of the multi-pass filtered image includes: and multiplying each target pixel value by the corresponding weight coefficient to obtain a product term corresponding to the target pixel value, adding the product terms of the target pixel values, and dividing the addition result by the sum of the weight coefficients of the target pixel values to obtain a replacement pixel value of a pixel point of the multi-time filtering image.
6. The target analysis-based APP startup system of claim 5 wherein:
the signal replacing device is also connected with the area analyzing device and used for outputting the data replacing image to the area analyzing device instead of the multi-time filtering image.
7. The target analysis-based APP startup system of claim 6 wherein:
the signal replacement device includes a filter window receiving unit, a distance detecting unit, a weight coefficient determining unit, and a filter executing unit.
8. The target analysis-based APP startup system of claim 7 wherein:
the distance detection unit is respectively connected with the filtering window receiving unit and the weight coefficient determining unit.
9. The target analysis-based APP startup system of claim 8 wherein:
the weight coefficient determining unit is respectively connected with the distance detecting unit and the filtering executing unit;
wherein, in the window defining device, determining the corresponding mean filter window based on the shape of the spot region corresponding to the maximum radial radius comprises: the shape of the corresponding mean filter window matches the shape of the spot region corresponding to the maximum radial radius.
10. The target analysis-based APP start-up system of claim 9, wherein:
in the window defining device, determining the respective mean filter window based on the shape of the spot region corresponding to the maximum radial radius comprises: the radial radius of the corresponding mean filter window matches the maximum radial radius.
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| CN107124548A (en) * | 2017-04-25 | 2017-09-01 | 深圳市金立通信设备有限公司 | A kind of photographic method and terminal |
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