CN104392438A - Image comparing method and device - Google Patents
Image comparing method and device Download PDFInfo
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- CN104392438A CN104392438A CN201410641092.1A CN201410641092A CN104392438A CN 104392438 A CN104392438 A CN 104392438A CN 201410641092 A CN201410641092 A CN 201410641092A CN 104392438 A CN104392438 A CN 104392438A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
- G06T7/32—Determination of transform parameters for the alignment of images, i.e. image registration using correlation-based methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30204—Marker
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Abstract
The invention discloses image comparing method and device. The method comprises the following steps: marking property information in the data information of images to be compared, and obtaining the marking data; comparing the marking data according to predefined data sensitivity; screening to obtain different marking data; displaying the different marking data. With the adoption of the image comparing method and device, the image data can be automatically compared and marked, thus the working efficiency in image comparing can be effectively raised, the labor cost can be decreased, and the data coverage of the image comparing can be expanded.
Description
Technical field
The present invention relates to art of image analysis, specifically, relate to a kind of image comparison method and device.
Background technology
Image comparison contrasts the data content in two width images, and find out the data message that there are differences.But in the face of so careful and work accurately, existing technology is most finds differential position between image and data message by data assistant director with naked eyes.Not only the cycle is long, human cost is high for the artificial image comparison method of this dependence, and the data cover face of image is very limited, generally can only cover the partial data of a few cities, so the efficiency of current image comparison and effect all have greatly improved space.Therefore, a kind of image comparison method and device is needed badly.
Summary of the invention
In order to solve the problem that the cycle is long and human cost is high that can only rely at present and manually carry out image comparison and bring, embodiment of the present invention provides image comparison method and device.
On the one hand, embodiment of the present invention provides a kind of image comparison method, and described method comprises:
The attribute information treated in the data message of the image of contrast carries out marking and obtaining labeled data;
According to predefined data sensitivity, described labeled data is contrasted, filter out inconsistent labeled data; And
Described inconsistent labeled data is shown.
Accordingly, embodiment of the present invention additionally provides a kind of image comparison device, and described device comprises:
Labeling module, carries out marking and obtaining labeled data for the attribute information treated in the data message of the image of contrast;
Screening module, for according to predefined data sensitivity, contrasts described labeled data, filters out inconsistent described labeled data;
Display module, for showing described inconsistent labeled data.
Implement automatic contrast and mark that various embodiment of the present invention can realize view data, effectively improve the work efficiency of image comparison, reduce cost of labor, increase the data cover face can carrying out image comparison.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of a kind of image comparison method according to embodiment of the present invention;
Fig. 2 shows the particular flow sheet of the step S2 of Fig. 1;
Fig. 3 shows the particular flow sheet of the step S3 of Fig. 2;
Fig. 4 is the Organization Chart of a kind of image comparison device according to embodiment of the present invention;
Fig. 5 shows the block diagram of the labeling module 100 shown in Fig. 4;
Fig. 6 shows the block diagram of the screening module 200 shown in Fig. 4;
Fig. 7 shows the block diagram of the display module 300 shown in Fig. 4;
Fig. 8 shows the block diagram of the display unit 330 shown in Fig. 7.
Embodiment
Be described in detail to various aspects of the present invention below in conjunction with the drawings and specific embodiments.Wherein, well-known module, unit and connection each other, link, communication or operation do not illustrate or do not elaborate.Further, described feature, framework or function can combine by any way in one or more embodiments.It will be appreciated by those skilled in the art that following various embodiments are only for illustrating, but not for limiting the scope of the invention.Can also easy understand, the module in each embodiment described herein and shown in the drawings or unit or processing mode can be undertaken combining and designing by various different configuration.
Fig. 1 is the process flow diagram of a kind of image comparison method according to embodiment of the present invention; See Fig. 1, described method comprises the steps:
Step S1, the attribute information treated in the data message of the image of contrast carries out marking and obtaining labeled data;
Step S2, according to predefined data sensitivity, contrasts described labeled data, filters out inconsistent labeled data; And
Step S3, shows described inconsistent labeled data.
Wherein, described to described labeled data carry out contrast can adopt Distributed Calculation rule described labeled data is contrasted.Particularly when contrasting the mark file of large data, mainly based on extra large dupp (hadoop) Distributed Calculation, mark file is made up of text information file and coordinate information file, text message and coordinate information have certain corresponding relation, contrast herein only selects text information file to carry out, simultaneously because bar data every in text information file comprise multiple field, need to select wherein 1 or several field to contrast according to the data sensitivity of user's setting, filter out inconsistent labeled data, and it is preserved.The present invention is not limited thereto, except based on hadoop Distributed Calculation, those skilled in the art can also adopt other Data Comparison modes to contrast labeled data.
By adopting said method, automatic contrast and the mark of view data can be realized, effectively improve the work efficiency of image comparison, reduce cost of labor, increase the data cover face can carrying out image comparison.
Fig. 2 shows the particular flow sheet of the step S2 of Fig. 1; See Fig. 2, according to predefined data sensitivity described in step S2, described labeled data is contrasted, filter out inconsistent labeled data and comprise the steps:
Step S21, according to the appointment classification in described predefined data sensitivity, is set as described sensitive information by other attribute information of specified class described in described labeled data; Wherein, described data sensitivity refers to can be set to sensitive information by one or more attribute information by other attribute information of specified class (such as: unique identifier ID, title, coordinate, telephone number, address, weight etc.) that user sets.
Step S22, contrasts described sensitive information, filters out inconsistent labeled data.
Fig. 3 shows the particular flow sheet of the step S3 of Fig. 2; See Fig. 3, step S3 comprises the steps:
Step S31, the proportion range of the described inconsistent labeled data shown as required, sets described weight threshold;
Step S32, according to described weight threshold, carries out postsearch screening to described inconsistent labeled data, obtains the different information meeting described weight threshold;
Step S33, meets coordinate figure and the weighted value of described different information described in acquisition;
Step S34, according to coordinate figure and the weighted value of the described different information obtained, shows described different information.
Wherein, described weight threshold can be arranged voluntarily, and weighted value (rank) is higher, and the importance representing labeled data is also higher.
It should be noted that, by the render engine of browser, described different information can be shown on a web browser.Due to different information, often quantity is more, consider the experience (i.e. the smoothness of picture dragging) of user, take only to play up the variance data in the visual field herein, and reduce picture by mouse roller, more different information can be shown, the overall distribution situation of different information can be seen like this.
Fig. 4 is the Organization Chart of a kind of image comparison device according to embodiment of the present invention; See Fig. 4, described device comprises:
Labeling module 100, carries out marking and obtaining labeled data for the attribute information treated in the data message of the image of contrast;
Screening module 200, for according to predefined data sensitivity, contrasts described labeled data, filters out inconsistent described labeled data;
Display module 300, for showing described inconsistent labeled data.
By adopting said apparatus, automatic contrast and the mark of view data can be realized, effectively improve the work efficiency of image comparison, reduce cost of labor, increase the data cover face can carrying out image comparison.
Fig. 5 shows the block diagram of the labeling module 100 shown in Fig. 4; See Fig. 5, described labeling module 100 comprises:
Mark unit 110, carries out marking and obtaining labeled data for the attribute information treated in the data message of the image of contrast; And
Acquiring unit 120, for obtaining described labeled data and store.
Wherein, described mark unit 110 to described labeled data carry out contrast can adopt Distributed Calculation rule described labeled data is contrasted.Particularly when contrasting the mark file of large data, mainly based on hadoop Distributed Calculation, mark file is made up of text information file and coordinate information file, text message and coordinate information have certain corresponding relation, contrast herein only selects text information file to carry out, simultaneously because bar data every in text information file comprise multiple field, need to select wherein 1 or several field to contrast according to the data sensitivity of user's setting, filter out inconsistent labeled data, and by acquiring unit 120, it is preserved.
Fig. 6 shows the block diagram of the screening module 200 shown in Fig. 4; See Fig. 6, described screening module 200 comprises:
Setup unit 210, for according to the appointment classification in described predefined data sensitivity, is set as described sensitive information by other attribute information of specified class described in described labeled data; And
Contrast unit 220, for contrasting described sensitive information, filters out inconsistent labeled data.
Wherein, described data sensitivity refers to can be set to sensitive information by one or more attribute information by other attribute information of specified class (such as: unique identifier ID, title, coordinate, telephone number, address, weight etc.) that user sets.
Fig. 7 shows the block diagram of the display module 300 shown in Fig. 4; See Fig. 7, described display module 300 comprises:
Weight threshold unit 310, for the proportion range of described inconsistent labeled data shown as required, sets described weight threshold;
Weight screening unit 320, for according to described weight threshold, carries out postsearch screening to described inconsistent labeled data, obtains the different information meeting described weight threshold; And
Display unit 330, for obtaining coordinate figure and the weighted value of described different information, and according to the coordinate figure of described different information and weighted value, shows described different information.
Wherein, described weight threshold can be arranged voluntarily, and weighted value (rank) is higher, and the importance representing labeled data is also higher.
Fig. 8 shows the block diagram of the display unit 330 shown in Fig. 7; See Fig. 5, described display unit 330 comprises:
Render engine subelement 331, plays up process for the render engine by browser to described different information;
Browser display subelement 332, for playing up the display of the different information after process on a web browser by described.
Wherein, described different information by the render engine of browser, can show on a web browser by render engine subelement 331.Browser display subelement 332 is when showing different information, due to different information, often quantity is more, consider the experience (i.e. the smoothness of picture dragging) of user, take only to play up the variance data in the visual field herein, and reduce picture by mouse roller, more different information can be shown, the overall distribution situation of different information can be seen like this.
Through the above description of the embodiments, those skilled in the art can be well understood to the present invention and can realize by the mode of software combined with hardware platform, can certainly all be implemented by hardware.Based on such understanding, what technical scheme of the present invention contributed to background technology can embody with the form of software product in whole or in part, this computer software product can be stored in storage medium, as ROM/RAM, magnetic disc, CD etc., comprising some instructions in order to make a computer equipment (can be personal computer, server, smart mobile phone or the network equipment etc.) perform the method described in some part of each embodiment of the present invention or embodiment.
The term used in instructions of the present invention and wording, just to illustrating, are not meaned and are formed restriction.It will be appreciated by those skilled in the art that under the prerequisite of the ultimate principle not departing from disclosed embodiment, can various change be carried out to each details in above-mentioned embodiment.Therefore, scope of the present invention is only determined by claim, and in the claims, except as otherwise noted, all terms should be understood by the most wide in range rational meaning.
Claims (10)
1. an image comparison method, is characterized in that, described method comprises:
The attribute information treated in the data message of the image of contrast carries out marking and obtaining labeled data;
According to predefined data sensitivity, described labeled data is contrasted, filter out inconsistent labeled data; And
Described inconsistent labeled data is shown.
2. the method for claim 1, is characterized in that, describedly carries out contrast to described labeled data and comprises:
Distributed Calculation rule is adopted to contrast described labeled data.
3. the method for claim 1, is characterized in that, described according to predefined data sensitivity, contrasts described labeled data, filters out inconsistent labeled data and comprises:
According to the appointment classification in described predefined data sensitivity, other attribute information of specified class described in described labeled data is set as described sensitive information;
Described sensitive information is contrasted, filters out inconsistent labeled data.
4. the method for claim 1, is characterized in that, describedly carries out display to described inconsistent labeled data and comprises:
The proportion range of the described inconsistent labeled data shown as required, sets described weight threshold;
According to described weight threshold, postsearch screening is carried out to described inconsistent labeled data, obtain the different information meeting described weight threshold;
Coordinate figure and the weighted value of described different information is met described in acquisition;
According to coordinate figure and the weighted value of the described different information obtained, described different information is shown.
5. method as claimed in claim 4, is characterized in that, carry out display comprise described different information:
By the render engine of browser, by described different information display on a web browser.
6. an image comparison device, is characterized in that, described device comprises:
Labeling module, carries out marking and obtaining labeled data for the attribute information treated in the data message of the image of contrast;
Screening module, for according to predefined data sensitivity, contrasts described labeled data, filters out inconsistent described labeled data;
Display module, for showing described inconsistent labeled data.
7. device as claimed in claim 6, it is characterized in that, described labeling module comprises:
Mark unit, carries out marking and obtaining labeled data for the attribute information treated in the data message of the image of contrast; And
Acquiring unit, for obtaining described labeled data and store.
8. device as claimed in claim 6, it is characterized in that, described screening module comprises:
Setup unit, for according to the appointment classification in described predefined data sensitivity, is set as described sensitive information by other attribute information of specified class described in described labeled data; And
Contrast unit, for contrasting described sensitive information, filters out inconsistent labeled data.
9. device as claimed in claim 6, it is characterized in that, described display module comprises:
Weight threshold unit, for the proportion range of described inconsistent labeled data shown as required, sets described weight threshold;
Weight screening unit, for according to described weight threshold, carries out postsearch screening to described inconsistent labeled data, obtains the different information meeting described weight threshold; And
Display unit, for obtaining coordinate figure and the weighted value of described different information, and according to the coordinate figure of described different information and weighted value, shows described different information.
10. device as claimed in claim 9, it is characterized in that, described display unit comprises:
Render engine subelement, plays up process for the render engine by browser to described different information;
Browser display subelement, for playing up the display of the different information after process on a web browser by described.
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| CN201410641092.1A CN104392438A (en) | 2014-11-13 | 2014-11-13 | Image comparing method and device |
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| CN201410641092.1A CN104392438A (en) | 2014-11-13 | 2014-11-13 | Image comparing method and device |
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| CN102929999A (en) * | 2012-10-25 | 2013-02-13 | 北京数码大方科技股份有限公司 | Method and device for comparing similarities and differences of data |
| CN103235825A (en) * | 2013-05-08 | 2013-08-07 | 重庆大学 | Method used for designing large-quantity face recognition search engine and based on Hadoop cloud computing frame |
| CN103853734A (en) * | 2012-11-30 | 2014-06-11 | 苏州利驰电子商务有限公司 | Drawing content difference comparison method and system |
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2014
- 2014-11-13 CN CN201410641092.1A patent/CN104392438A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6226407B1 (en) * | 1998-03-18 | 2001-05-01 | Microsoft Corporation | Method and apparatus for analyzing computer screens |
| CN102929999A (en) * | 2012-10-25 | 2013-02-13 | 北京数码大方科技股份有限公司 | Method and device for comparing similarities and differences of data |
| CN103853734A (en) * | 2012-11-30 | 2014-06-11 | 苏州利驰电子商务有限公司 | Drawing content difference comparison method and system |
| CN103235825A (en) * | 2013-05-08 | 2013-08-07 | 重庆大学 | Method used for designing large-quantity face recognition search engine and based on Hadoop cloud computing frame |
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Application publication date: 20150304 |