CN104766082B - Image-recognizing method and device based on android system - Google Patents

Image-recognizing method and device based on android system Download PDF

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Publication number
CN104766082B
CN104766082B CN201510124226.7A CN201510124226A CN104766082B CN 104766082 B CN104766082 B CN 104766082B CN 201510124226 A CN201510124226 A CN 201510124226A CN 104766082 B CN104766082 B CN 104766082B
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image
pixel
feature
information
screen
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CN104766082A (en
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刘德建
方振华
李上杰
张春双
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Fujian TQ Digital Co Ltd
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Fujian TQ Digital Co Ltd
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Abstract

A kind of image-recognizing method based on android system and device, described device carry out step S201:Image recognition order is received, the feature for the image that step S203 loads require to look up then is carried out;It then carries out step S205 and obtains current screen display information, the method that the acquisition current screen shows information is to access the internal storage data of current Android system, obtains Android system current screen image.Feature then based on displaying information on screen and the image required to look up carries out step S209 matching treatments;It finally carries out S211 outputs matching treatment result and passes through the above method, can screen data directly be obtained from memory, save previous memory and open load image file, parse the time of image data, so that whole image recognition time is greatly shortened, also search efficiency is made to be improved significantly.

Description

Image-recognizing method and device based on android system
Technical field
The present invention relates to field of image recognition more particularly to a kind of image-recognizing methods based on android system.
Background technology
At present in Android device (operating system is the electronic equipments such as mobile phone, tablet computer, the TV of Android system) Image recognition major way is to load different picture by Android applications to carry out point-by-point pixel comparison identification, or only Sectional drawing can be carried out using the interface of itself for Android, point-by-point pixel comparison identification is carried out after then loading.With informationization Deepen continuously, the data entrained by image are also increasing, and there are its following disadvantages for above-mentioned point-by-point pixel comparison recognition methods: 1) target and lookup image, which are required for reading, loads, and entire recognition time is made to greatly increase.2) Android can only be directed to apply certainly It the interface of body, can not across different application carry out sectional drawing identification into the identification of Mobile state sectional drawing.
Invention content
For this reason, it may be necessary to provide a kind of technology across application identification image, saves to know and scheme the required time.It is above-mentioned to realize Purpose inventor provides a kind of image-recognizing method based on android system, includes the following steps:
Image recognition order is received, the feature of the image required to look up is loaded;
It obtains current screen and shows information, the feature progress based on displaying information on screen and the image required to look up With processing;
Export matching treatment result.
Specifically, described image recognition command includes path, similarity or the seeking scope of the image required to look up, it is described The feature of image includes the length and width or Pixel Information of image.
Specifically, the matching treatment specifically includes:According to similarity calculation step-length, step width;
The Pixel Information for extracting vertex in the feature of image, the Pixel Information is matched point by point with displaying information on screen, Obtain the first vertex pixel;
It is determined other three in displaying information on screen according to long and wide information in the feature of the first vertex pixel and image A vertex pixel position simultaneously carries out matching judgment respectively;
Determine that target block, the target block are using the vertex pixel as the rectangle on vertex according to vertex pixel The edge pixel point of the target block is chosen edge pixel sampled point, by edge picture by block of pixels according to step-length and step width The feature of plain sampled point and image carries out matching judgment;
Target block sampled point is chosen according to step-length and step width in the target block, by the target block sampled point Matching judgment is carried out with the feature of image, the first vertex pixel is re-searched for if any of the above-described matching judgment step mismatches Otherwise point returns to successful match information.
Further, further include step:Initialization operation is carried out, the initialization operation includes obtaining Android system version Originally, screen message.
Further, it further includes step to obtain after current screen shows information:The displaying information on screen is formatted.
A kind of pattern recognition device based on android system, including following module:Order receiver module, feature load mould Block, screen message acquisition module and matching module;
The Order receiver module is for receiving image recognition order;The feature load-on module is required to look up for loading Image feature;The screen message acquisition module shows that information, the matching module are used for base for obtaining current screen Matching treatment is carried out in the feature of displaying information on screen and the image required to look up and exports matching treatment result.
Specifically, the image recognition order that the Order receiver module receives includes the path of the image required to look up, phase Like degree or seeking scope, the feature of the image of the feature load-on module load includes the length and width or Pixel Information of image.
Specifically, the matching treatment that the matching module carries out specifically includes:According to similarity calculation step-length, step width;
The Pixel Information for extracting vertex in the feature of image, the Pixel Information is matched point by point with displaying information on screen, Obtain the first vertex pixel;
It is determined other three in displaying information on screen according to long and wide information in the feature of the first vertex pixel and image A vertex pixel position simultaneously carries out matching judgment respectively;
Determine that target block, the target block are using the vertex pixel as the rectangle on vertex according to vertex pixel The edge pixel point of the target block is chosen edge pixel sampled point, by edge picture by block of pixels according to step-length and step width The feature of plain sampled point and image carries out matching judgment;
Target block sampled point is chosen according to step-length and step width in the target block, by the target block sampled point Matching judgment is carried out with the feature of image, the first vertex pixel is re-searched for if any of the above-described matching judgment step mismatches Otherwise point returns to successful match information.
Further, further include initialization module:The initialization module is for carrying out initialization operation, the initialization Operation includes obtaining Android system version, screen message.
Further, further include formatting module, the formatting module is for formatting the displaying information on screen.
It is different from the prior art, above-mentioned technical proposal removes opening loading figure by directly obtaining screen data from memory As file, the time of image data is parsed, whole image recognition time is made to greatly shorten, while obtained step-length using similarity and searching Rope image border reduces search time, also search efficiency is made to significantly improve.
Description of the drawings
Fig. 1 is the structural schematic diagram of screen picture identification device based on android system described in an embodiment of the present invention;
Fig. 2 is the flow chart of screen picture recognition methods based on android system described in an embodiment of the present invention.
Reference sign:
101, Order receiver module;
103, feature load-on module;
105, screen message acquisition module;
107, matching module;
109, initialization module;
111, formatting module.
Specific implementation mode
For the technology contents of technical solution, construction feature, the objects and the effects are described in detail, below in conjunction with specific reality It applies example and attached drawing is coordinated to be explained in detail.
Referring to Fig. 1, for the flow chart of image-recognizing method based on android system described in an embodiment of the present invention, it should Described method includes following steps for method:
Step S201:Image recognition order is received,
Step S203:Load the feature of the image required to look up;
Step S205:It obtains current screen and shows that information, the current screen that obtains show that the method for information is worked as to access The internal storage data of preceding Android system obtains Android system current screen image.
Feature based on displaying information on screen and the image required to look up carries out step S209 matching treatments;
S211 exports matching treatment as a result, return to successful match information such as successful match if, otherwise return " search for less than With image " information.
By the above method, can screen data directly be obtained from memory, save previous memory and open load image text Part parses the time of image data, so that whole image recognition time is greatly shortened, also search efficiency is made to be improved significantly.
In certain specific embodiments based on the above method, described image recognition command includes the image required to look up Path, similarity or seeking scope, wherein the path of the image required to look up be it is necessary, described device is carried according to above-mentioned path The image required to look up is taken, extracts the feature of image, the feature of described image includes the length and width or Pixel Information of image, described The information of all pixels point in Pixel Information, that is, image.Image recognition order can include similarity and seeking scope, the phase It can be configured as needed with seeking scope like degree, user can be allowed voluntarily to input to Order receiver module, when image is known Not Zhi Ling in do not contain similarity when, can give tacit consent to similarity be 1;Seeking scope information is not contained in image recognition instructs When, it is screen picture using the upper left corner as starting point that can give tacit consent to seeking scope, and image length multiplies wide range.It is identified by refined image Order and image feature information, and allow to need to be adjusted according to user, improve the practicability and identification effect of this method Rate.
Specifically, the matching treatment specifically includes:According to value unit of account step-length, the unit step width of similarity;Wherein One step is (1-S) * H roundings, unit step width is (1-S) * W roundings, and the unit of step-length and step width is (pixel);
The Pixel Information on any vertex in four vertex in the feature of image is then extracted, then the Pixel Information on the vertex It is matched point by point with displaying information on screen, matching can be since displaying information on screen any direction, we are to extract the spy of image In sign for the Pixel Information of left upper apex, from left to right, matched point by point in displaying information on screen from top to bottom, until Find in displaying information on screen it is that certain puts match with vertex Pixel Information, by this in displaying information on screen o'clock as the One vertex pixel, and determine the first vertex pixel position (cx,cy);
It is determined in displaying information on screen according to the information of (H) long in the feature of the first vertex pixel and image and wide (W) The other three vertex pixel position { (cx+H,cy)、(cx,cy+ W) and (cx+H,cy+ W) } and respectively with it is another in the feature of image The Pixel Information of outer three corresponding vertexs carries out matching judgment;Following step is continued to execute if judging to match.
Determine that target block, the target block are true as vertex using four vertex pixels according to vertex pixel The edge pixel point of the target block is chosen edge pixel sampled point by fixed rectangular pixels block according to step-length and step width, The information of corresponding points in the feature of edge pixel sampled point and image is subjected to edge matching judgement;Continue if being judged as matching Carry out following step.
Target block sampled point is chosen according to step-length and step width in the target block, in some embodiments it is possible to Sampled point is chosen every unit step width in target block the first row, then moves down unit one step row, is continued every unit step width Choose sampled point.It is complete until choosing.By the Pixel Information of corresponding position in the feature of the target block sampled point and image Carry out point-by-point matching judgment.The first vertex pixel is re-searched for if any of the above-described matching judgment step mismatches, is otherwise returned Return successful match information.Pass through vertex matching, edge matching and point-by-point matched matching judgment step in matching treatment so that With not only more efficient, and the adjustable matching judgment of precision can also be carried out according to similarity, user can be according to actual needs Similarity is adjusted, this method is also improved and disclosure satisfy that more actual conditions.
Further, described device also carries out step S200:Initialization operation is carried out, the initialization operation includes obtaining Android system version, screen message.The screen message is the screen message of fb_var_screeninfo structures.In certain tools In the embodiment of body, in the executable file that the program finished write-in Android system is supported, described program is encoded for obtaining The initialization informations such as Android system version, displaying information on screen.The executable file is executing we there are in Android system When method, above-mentioned executable file is loaded and runs by the Shell instructions of Android system, the Shell instructions are Androids The user interface of system provides user and interacts a kind of interface of operation with kernel.It receives order input by user simultaneously It is sent into kernel to go to execute.After the executable file operation, carry out obtaining the initialization such as Android system version, screen message Operation.Pass through above-mentioned initialization operation so that this method can be according to the more targeted acquisition memory of version of Android system In displaying information on screen, improve the execution efficiency of this method.
Further, it further includes step S207 that described device, which obtains after current screen shows information,:The screen is shown Show information format.In some specific embodiments, show that the image position (AP) of information will shield by the current screen of acquisition Curtain shows the pixel-matrix of information, is converted into rgb format.Conversion regime is as follows:Pass through the transp knots in displaying information on screen The value of offset and the value of the offset in red, green, blue structure, pass through formula in structure:
(Color>>offset)&0xFF
Obtain the value of R, G, B three-primary colours.Pass through formula again
Color=(R<<24)+(G<<16)+B
Obtain the pixel of rgb format.
Carrying out format conversion is advantageous in that convenient for identification, and rgb format is enabled to follow-up due to its higher universality Pixel extraction, matching and etc. it is more convenient.
Further include pattern recognition device based on android system, structural schematic diagram such as Fig. 1 institutes in certain embodiment of the invention Show, including following module:Order receiver module 101, feature load-on module 103, screen message acquisition module 105 and matching module 107;
The Order receiver module receives image recognition order for carrying out step S201;The feature load-on module is used for Carry out the feature for the image that step S203 loads require to look up;The screen message acquisition module is for carrying out step S205 acquisitions Current screen shows information, the matching module be used for the feature based on displaying information on screen and the image required to look up into Row step S209 matching treatments and step S211 export matching treatment result.Be arranged by above-mentioned module, device can directly from Memory obtains screen data, saves previous memory and opens load image file, parses the time of image data, make whole image Recognition time greatly shortens, and also search efficiency is made to be improved significantly.
Specifically, the image recognition order that the Order receiver module receives includes the path of the image required to look up, phase Like degree or seeking scope, the feature of the image of the feature load-on module load includes the length and width or Pixel Information of image.Pass through Refined image recognition command and image feature information, and allow to need to be adjusted according to user, improve the practicality of the present apparatus Property and recognition efficiency.
Specifically, the matching treatment that the matching module 107 carries out specifically includes:According to similarity calculation step-length, step width;
The Pixel Information for extracting vertex in the feature of image, the Pixel Information is matched point by point with displaying information on screen, Obtain the first vertex pixel;
It is determined other three in displaying information on screen according to long and wide information in the feature of the first vertex pixel and image A vertex pixel position simultaneously carries out matching judgment respectively;
Determine that target block, the target block are using the vertex pixel as the rectangle on vertex according to vertex pixel The edge pixel point of the target block is chosen edge pixel sampled point, by edge picture by block of pixels according to step-length and step width The feature of plain sampled point and image carries out matching judgment;
Target block sampled point is chosen according to step-length and step width in the target block, by the target block sampled point Matching judgment is carried out with the feature of image, the first vertex pixel is re-searched for if any of the above-described matching judgment step mismatches Otherwise point returns to successful match information.Pass through vertex matching, edge matching and point-by-point matched matching judgment step in matching treatment Suddenly so that matching is not only more efficient, and can also carry out the adjustable matching judgment of precision according to similarity, and user can basis Actual needs adjustment similarity, also improves the practicability of the present apparatus.
Further, further include initialization module 209:The initialization module is for carrying out step S200 initialization behaviour Make, the initialization operation includes obtaining Android system version, screen message.The screen message is fb_var_ The screen message of screeninfo structures.Pass through above-mentioned initialization module 209 so that the present apparatus can be according to the version of Android system This more targeted displaying information on screen obtained in memory, improves the execution efficiency of this method.
Further, further include formatting module 211, the formatting module is for carrying out step S207 by the screen Show information format.Carrying out format conversion is advantageous in that rgb format, can due to its higher universality convenient for identification So that later pixel extraction, matching and etc. it is more convenient.
It should be noted that herein, relational terms such as first and second and the like are used merely to a reality Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to Non-exclusive inclusion, so that process, method, article or terminal device including a series of elements include not only those Element, but also include other elements that are not explicitly listed, or further include for this process, method, article or end The intrinsic element of end equipment.In the absence of more restrictions, being limited by sentence " including ... " or " including ... " Element, it is not excluded that there is also other elements in process, method, article or the terminal device including the element.This Outside, herein, " being more than ", " being less than ", " being more than " etc. are interpreted as not including this number;" more than ", " following ", " within " etc. understandings It includes this number to be.
It should be understood by those skilled in the art that, the various embodiments described above can be provided as method, apparatus or computer program production Product.Complete hardware embodiment, complete software embodiment or embodiment combining software and hardware aspects can be used in these embodiments Form.All or part of step in the method that the various embodiments described above are related to can be instructed by program relevant hardware come It completes, the program can be stored in the storage medium that computer equipment can be read, for executing the various embodiments described above side All or part of step described in method.The computer equipment, including but not limited to:Personal computer, server, general-purpose computations It is machine, special purpose computer, the network equipment, embedded device, programmable device, intelligent mobile terminal, smart home device, wearable Smart machine, vehicle intelligent equipment etc.;The storage medium, including but not limited to:RAM, ROM, magnetic disc, tape, CD, sudden strain of a muscle It deposits, USB flash disk, mobile hard disk, storage card, memory stick, webserver storage, network cloud storage etc..
The various embodiments described above are with reference to method, equipment (system) and the computer program product according to embodiment Flowchart and/or the block diagram describes.It should be understood that can be realized by computer program instructions every in flowchart and/or the block diagram The combination of flow and/or box in one flow and/or box and flowchart and/or the block diagram.These computers can be provided Program instruction is to the processor of computer equipment to generate a machine so that the finger executed by the processor of computer equipment It enables and generates to specify in one flow of flow chart or multiple flows and/or one box of block diagram or multiple boxes The device of function.
These computer program instructions, which may also be stored in, can guide computer equipment computer operate in a specific manner to set In standby readable memory so that the instruction generation being stored in the computer equipment readable memory includes the manufacture of command device Product, command device realization refer in one flow of flow chart or multiple flows and/or one box of block diagram or multiple boxes Fixed function.
These computer program instructions can be also loaded on computer equipment so that be executed on a computing device a series of To generate computer implemented processing, the instruction to execute on a computing device is provided for realizing in flow operating procedure The step of function of being specified in one flow of figure or multiple flows and/or one box of block diagram or multiple boxes.
Although the various embodiments described above are described, once a person skilled in the art knows basic wounds The property made concept, then additional changes and modifications can be made to these embodiments, so example the above is only the implementation of the present invention, It is not intended to limit the scope of patent protection of the present invention, it is every to utilize equivalent structure made by description of the invention and accompanying drawing content Or equivalent process transformation, it is applied directly or indirectly in other relevant technical fields, the patent for being similarly included in the present invention Within protection domain.

Claims (6)

1. a kind of image-recognizing method based on android system, which is characterized in that include the following steps:
Image recognition order is received, the feature of the image required to look up is loaded;
It obtains current screen and shows information, the method for obtaining current screen display information is the interior of the current Android system of access Deposit data obtains Android system current screen image, based on the feature of displaying information on screen and the image required to look up into Row matching treatment;
Export matching treatment result;
Described image recognition command includes path, similarity or the seeking scope of the image required to look up, the feature of described image Length and width including image or Pixel Information;
The matching treatment specifically includes:According to similarity calculation step-length, step width;
The Pixel Information for extracting vertex in the feature of image, the Pixel Information is matched point by point with displaying information on screen, is obtained First vertex pixel;
The other three top in displaying information on screen is determined according to long and wide information in the feature of the first vertex pixel and image Point pixel position simultaneously carries out matching judgment respectively;
Determine that target block, the target block are using the vertex pixel as the rectangular pixels on vertex according to vertex pixel The edge pixel point of the target block is chosen edge pixel sampled point according to step-length and step width, edge pixel is adopted by block The feature of sampling point and image carries out matching judgment;
Target block sampled point is chosen according to step-length and step width in the target block, by the target block sampled point and figure The feature of picture carries out matching judgment, and the first vertex pixel is re-searched for if any of the above-described matching judgment step mismatches, no Then return to successful match information.
2. image-recognizing method based on android system according to claim 1, which is characterized in that further include step:Into Row initialization operation, the initialization operation include obtaining Android system version, screen message.
3. image-recognizing method based on android system according to claim 1, which is characterized in that it is aobvious to obtain current screen Show that information further includes later step:The displaying information on screen is formatted.
4. a kind of pattern recognition device based on android system, which is characterized in that including following module:Order receiver module, spy Levy load-on module, screen message acquisition module and matching module;
The Order receiver module is for receiving image recognition order;The feature load-on module is for loading the figure required to look up The feature of picture;The screen message acquisition module shows that information, the matching module are used for based on screen for obtaining current screen Curtain shows that the feature of information and the image required to look up carries out matching treatment and exports matching treatment result;
The image recognition order that the Order receiver module receives includes path, similarity or the lookup model of the image required to look up It encloses, the feature of the image of the feature load-on module load includes the length and width or Pixel Information of image;
The matching treatment that the matching module carries out specifically includes:According to similarity calculation step-length, step width;
The Pixel Information for extracting vertex in the feature of image, the Pixel Information is matched point by point with displaying information on screen, is obtained First vertex pixel;
The other three top in displaying information on screen is determined according to long and wide information in the feature of the first vertex pixel and image Point pixel position simultaneously carries out matching judgment respectively;
Determine that target block, the target block are using the vertex pixel as the rectangular pixels on vertex according to vertex pixel The edge pixel point of the target block is chosen edge pixel sampled point according to step-length and step width, edge pixel is adopted by block The feature of sampling point and image carries out matching judgment;
Target block sampled point is chosen according to step-length and step width in the target block, by the target block sampled point and figure The feature of picture carries out matching judgment, and the first vertex pixel is re-searched for if any of the above-described matching judgment step mismatches, no Then return to successful match information.
5. pattern recognition device based on android system according to claim 4, which is characterized in that further include initialization mould Block:The initialization module includes obtaining Android system version, screen letter for carrying out initialization operation, the initialization operation Breath.
6. pattern recognition device based on android system according to claim 4, which is characterized in that further include formatting mould Block, the formatting module is for formatting the displaying information on screen.
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