CN113537190A - Multi-image identification method and device - Google Patents
Multi-image identification method and device Download PDFInfo
- Publication number
- CN113537190A CN113537190A CN202110669813.XA CN202110669813A CN113537190A CN 113537190 A CN113537190 A CN 113537190A CN 202110669813 A CN202110669813 A CN 202110669813A CN 113537190 A CN113537190 A CN 113537190A
- Authority
- CN
- China
- Prior art keywords
- image data
- image
- label
- identification
- identification result
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 38
- 238000005457 optimization Methods 0.000 claims description 16
- 238000012545 processing Methods 0.000 claims description 16
- 238000005516 engineering process Methods 0.000 abstract description 9
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 238000005034 decoration Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
-
- 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
- G06T2207/30168—Image quality inspection
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Artificial Intelligence (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Quality & Reliability (AREA)
- Image Processing (AREA)
Abstract
The invention discloses a multi-image identification method and a multi-image identification device. Wherein, the method comprises the following steps: acquiring first image data; generating a first label according to the first image data; acquiring second image data according to the first label; and identifying the first image data and the second image data to obtain an identification result. The invention solves the technical problems that the image identification technology in the prior art only identifies a single image and independently processes the same image, so that a plurality of image data cannot be identified, and the image identification efficiency is reduced.
Description
Technical Field
The invention relates to the field of image recognition, in particular to a multi-image recognition method and device.
Background
Along with the continuous development of intelligent science and technology, people use intelligent equipment more and more among life, work, the study, use intelligent science and technology means, improved the quality of people's life, increased the efficiency of people's study and work.
At present, in the field of image recognition, image data collected by an image collecting device is usually processed, and image recognition is performed according to the processed image information to obtain information that a user wishes to obtain from the image data, but a conventional image recognition technology only recognizes a single image and independently processes the same image, so that a plurality of image data cannot be recognized, and the efficiency of image recognition is reduced.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides a multi-image identification method and a multi-image identification device, which are used for at least solving the technical problems that in the prior art, the image identification technology only identifies a single image and independently processes the same image, so that the data of a plurality of images cannot be identified, and the image identification efficiency is reduced.
According to an aspect of an embodiment of the present invention, there is provided a multi-image recognition method including: acquiring first image data; generating a first label according to the first image data; acquiring second image data according to the first label; and identifying the first image data and the second image data to obtain an identification result.
Optionally, the first tag includes: an image type tag.
Optionally, the identifying the first image data and the second image data to obtain an identification result includes: optimizing the first image data and the second image data; and generating the recognition result according to the first image data and the second image data after the optimization processing.
Optionally, after the identifying the first image data and the second image data to obtain an identification result, the method further includes: and displaying the identification result.
According to another aspect of the embodiments of the present invention, there is also provided a multi-image recognition apparatus including: the first acquisition module is used for acquiring first image data; the label module is used for generating a first label according to the first image data; the second acquisition module is used for acquiring second image data according to the first label; and the identification module is used for identifying the first image data and the second image data to obtain an identification result.
Optionally, the first tag includes: an image type tag.
Optionally, the identification module includes: an optimization unit configured to perform optimization processing on the first image data and the second image data; and the generating unit is used for generating the identification result according to the first image data and the second image data after the optimization processing.
Optionally, the apparatus further comprises: and the display module is used for displaying the identification result.
According to another aspect of the embodiments of the present invention, there is also provided a non-volatile storage medium including a stored program, wherein the program controls a device in which the non-volatile storage medium is located to execute a multi-image recognition method when running.
According to another aspect of the embodiments of the present invention, there is also provided an electronic device, including a processor and a memory; the memory has stored therein computer readable instructions for execution by the processor, wherein the computer readable instructions when executed perform a method of multiple image recognition.
In the embodiment of the invention, the first image data is acquired; generating a first label according to the first image data; acquiring second image data according to the first label; the mode of identifying the first image data and the second image data to obtain the identification result solves the technical problems that the image identification technology in the prior art only identifies a single image and independently processes the same image, so that a plurality of image data cannot be identified, and the image identification efficiency is reduced.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flow chart of a method of multiple image recognition according to an embodiment of the present invention;
fig. 2 is a block diagram of a multi-image recognition apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In accordance with an embodiment of the present invention, there is provided a method embodiment of a multiple image recognition method, it being noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than presented herein.
Example one
Fig. 1 is a flowchart of a multi-image recognition method according to an embodiment of the present invention, as shown in fig. 1, the method includes the following steps:
step S102, first image data is acquired.
Specifically, in order to achieve the technical effect of simultaneously identifying a plurality of image data by acquiring the plurality of image data, the embodiment of the present invention first needs to acquire first image data, where the first image data is original image data acquired by an image acquisition device. For example, when a user needs to identify and judge whether to acquire a plurality of image data, the image data acquired by the first camera is acquired, the image data acquired by the first camera is stored and processed, and whether to acquire the image data of the second camera is further judged according to a processing result, so that the technical purpose of identifying the plurality of image data is achieved.
And step S104, generating a first label according to the first image data.
Specifically, after the first image data is acquired, since it needs to be determined whether to acquire and acquire other image data, it needs to extract the first tag information of the first image data according to the determination rule, and then determine whether to acquire and acquire subsequent multiple images according to the information content of the first tag. For example, when the image capturing system has two cameras for capturing real-time images, wherein the first image data captured by the first camera has already been captured and acquired, the noise point and the angle data in the first image data are determined according to the first label determination rule, and when the image angle data of the noise point of the first image data is determined to meet the threshold of the determination rule, the second image data of the second camera is further captured and used for displaying the subsequent multi-image recognition result.
Optionally, the first tag includes: an image type tag.
Specifically, in order to acquire more image data, a first label needs to be generated according to a parameter of the first image data, where the first label includes: an image type tag. The image type label represents the type of the first image data, so that the second image data can be acquired according to the type of the first label when being acquired subsequently, and the image acquisition efficiency and accuracy are improved.
And step S106, acquiring second image data according to the first label.
Specifically, the second image data is obtained through the obtained first label in the above embodiment, where the second image data may be image data of a label of the same type as the first image data, so as to perform a subsequent identification operation.
For example, when the image type tag data in the first tag is the same type image data of a plurality of cameras, the second image data needs to be acquired according to the image type judgment result of the first tag, where the image type data of the first tag refers to the image type of the first image data acquired by the first camera, and the real-time image data acquired by the second camera or the subsequent third and fourth cameras is acquired and acquired according to the image type captured by the first camera.
Step S108, recognizing the first image data and the second image data to obtain a recognition result.
Optionally, the identifying the first image data and the second image data to obtain an identification result includes: optimizing the first image data and the second image data; and generating the recognition result according to the first image data and the second image data after the optimization processing.
Specifically, after the first image data and the second image data are acquired, optimization processing needs to be performed on the first image data and the second image data, where the optimization processing may be sharpening and denoising functions of an image so as to increase efficiency of image recognition, and a recognition operation is performed on the optimized first image data and the optimized second image data to obtain a recognition result.
Optionally, after the identifying the first image data and the second image data to obtain an identification result, the method further includes: and displaying the identification result.
Specifically, in the embodiment of the present invention, after the first image data and the second image data are obtained, the image is subjected to an identification operation, and the identification result data is displayed according to a result of the identification operation, where the display may be performed by outputting the identification result data to a display module of a display device, so that a user can clearly see a display result, and analyze and utilize the display result.
By the embodiment, the technical problems that the image identification technology in the prior art only identifies a single image and independently processes the same image, so that a plurality of image data cannot be identified, and the image identification efficiency is reduced are solved.
Example two
Fig. 2 is a block diagram of a multi-image recognition apparatus according to an embodiment of the present invention, as shown in fig. 2, the apparatus including:
the first acquiring module 20 is configured to acquire first image data.
Specifically, in order to achieve the technical effect of simultaneously identifying a plurality of image data by acquiring the plurality of image data, the embodiment of the present invention first needs to acquire first image data, where the first image data is original image data acquired by an image acquisition device. For example, when a user needs to identify and judge whether to acquire a plurality of image data, the image data acquired by the first camera is acquired, the image data acquired by the first camera is stored and processed, and whether to acquire the image data of the second camera is further judged according to a processing result, so that the technical purpose of identifying the plurality of image data is achieved.
And a label module 22, configured to generate a first label according to the first image data.
Specifically, after the first image data is acquired, since it needs to be determined whether to acquire and acquire other image data, it needs to extract the first tag information of the first image data according to the determination rule, and then determine whether to acquire and acquire subsequent multiple images according to the information content of the first tag. For example, when the image capturing system has two cameras for capturing real-time images, wherein the first image data captured by the first camera has already been captured and acquired, the noise point and the angle data in the first image data are determined according to the first label determination rule, and when the image angle data of the noise point of the first image data is determined to meet the threshold of the determination rule, the second image data of the second camera is further captured and used for displaying the subsequent multi-image recognition result.
Optionally, the first tag includes: an image type tag.
Specifically, in order to acquire more image data, a first label needs to be generated according to a parameter of the first image data, where the first label includes: an image type tag. The image type label represents the type of the first image data, so that the second image data can be acquired according to the type of the first label when being acquired subsequently, and the image acquisition efficiency and accuracy are improved.
And a second obtaining module 24, configured to obtain second image data according to the first tag.
Specifically, the second image data is obtained through the obtained first label in the above embodiment, where the second image data may be image data of a label of the same type as the first image data, so as to perform a subsequent identification operation.
For example, when the image type tag data in the first tag is the same type image data of a plurality of cameras, the second image data needs to be acquired according to the image type judgment result of the first tag, where the image type data of the first tag refers to the image type of the first image data acquired by the first camera, and the real-time image data acquired by the second camera or the subsequent third and fourth cameras is acquired and acquired according to the image type captured by the first camera.
And the identification module 26 is configured to identify the first image data and the second image data to obtain an identification result.
Optionally, the identification module includes: an optimization unit configured to perform optimization processing on the first image data and the second image data; and the generating unit is used for generating the identification result according to the first image data and the second image data after the optimization processing.
Specifically, after the first image data and the second image data are acquired, optimization processing needs to be performed on the first image data and the second image data, where the optimization processing may be sharpening and denoising functions of an image so as to increase efficiency of image recognition, and a recognition operation is performed on the optimized first image data and the optimized second image data to obtain a recognition result.
Optionally, the apparatus further comprises: and the display module is used for displaying the identification result.
According to another aspect of the embodiments of the present invention, there is also provided a non-volatile storage medium including a stored program, wherein the program controls a device in which the non-volatile storage medium is located to execute a multi-image recognition method when running.
Specifically, the method comprises the following steps: acquiring first image data; generating a first label according to the first image data; acquiring second image data according to the first label; and identifying the first image data and the second image data to obtain an identification result.
According to another aspect of the embodiments of the present invention, there is also provided an electronic device, including a processor and a memory; the memory has stored therein computer readable instructions for execution by the processor, wherein the computer readable instructions when executed perform a method of multiple image recognition.
Specifically, the method comprises the following steps: acquiring first image data; generating a first label according to the first image data; acquiring second image data according to the first label; and identifying the first image data and the second image data to obtain an identification result.
Specifically, in the embodiment of the present invention, after the first image data and the second image data are obtained, the image is subjected to an identification operation, and the identification result data is displayed according to a result of the identification operation, where the display may be performed by outputting the identification result data to a display module of a display device, so that a user can clearly see a display result, and analyze and utilize the display result.
By the embodiment, the technical problems that the image identification technology in the prior art only identifies a single image and independently processes the same image, so that a plurality of image data cannot be identified, and the image identification efficiency is reduced are solved.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (10)
1. A multi-image recognition method, comprising:
acquiring first image data;
generating a first label according to the first image data;
acquiring second image data according to the first label;
and identifying the first image data and the second image data to obtain an identification result.
2. The method of claim 1, wherein the first tag comprises: an image type tag.
3. The method of claim 1, wherein the identifying the first image data and the second image data to obtain an identification result comprises:
optimizing the first image data and the second image data;
and generating the recognition result according to the first image data and the second image data after the optimization processing.
4. The method of claim 1, wherein after the identifying the first image data and the second image data to obtain an identification result, the method further comprises:
and displaying the identification result.
5. A multiple image recognition apparatus, comprising:
the first acquisition module is used for acquiring first image data;
the label module is used for generating a first label according to the first image data;
the second acquisition module is used for acquiring second image data according to the first label;
and the identification module is used for identifying the first image data and the second image data to obtain an identification result.
6. The apparatus of claim 5, wherein the first tag comprises: an image type tag.
7. The apparatus of claim 5, wherein the identification module comprises:
an optimization unit configured to perform optimization processing on the first image data and the second image data;
and the generating unit is used for generating the identification result according to the first image data and the second image data after the optimization processing.
8. The apparatus of claim 5, further comprising:
and the display module is used for displaying the identification result.
9. A non-volatile storage medium, comprising a stored program, wherein the program, when executed, controls an apparatus in which the non-volatile storage medium is located to perform the method of any one of claims 1 to 4.
10. An electronic device comprising a processor and a memory; the memory has stored therein computer readable instructions for execution by the processor, wherein the computer readable instructions when executed perform the method of any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110669813.XA CN113537190A (en) | 2021-06-17 | 2021-06-17 | Multi-image identification method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110669813.XA CN113537190A (en) | 2021-06-17 | 2021-06-17 | Multi-image identification method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113537190A true CN113537190A (en) | 2021-10-22 |
Family
ID=78096140
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110669813.XA Pending CN113537190A (en) | 2021-06-17 | 2021-06-17 | Multi-image identification method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113537190A (en) |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110503023A (en) * | 2019-08-19 | 2019-11-26 | 深圳市商汤科技有限公司 | Biopsy method and device, electronic equipment and storage medium |
-
2021
- 2021-06-17 CN CN202110669813.XA patent/CN113537190A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110503023A (en) * | 2019-08-19 | 2019-11-26 | 深圳市商汤科技有限公司 | Biopsy method and device, electronic equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106709866B (en) | method and device for removing grid watermark from certificate photo and method and device for verifying human face | |
| CN108108748A (en) | A kind of information processing method and electronic equipment | |
| CN105760461A (en) | Automatic album establishing method and device | |
| CN111401205A (en) | Action recognition method and device, electronic equipment and computer readable storage medium | |
| CN109116129B (en) | Terminal detection method, detection device, system and storage medium | |
| CN110991231B (en) | Living body detection method and device, server and face recognition equipment | |
| JP7419080B2 (en) | computer systems and programs | |
| CN103198311A (en) | Method and apparatus for recognizing a character based on a photographed image | |
| CN113808037A (en) | Image optimization method and device | |
| CN108805838A (en) | A kind of image processing method, mobile terminal and computer readable storage medium | |
| CN111401238A (en) | Method and device for detecting character close-up segments in video | |
| CN115631122A (en) | Image optimization method and device for edge image algorithm | |
| CN109711287B (en) | Face acquisition method and related product | |
| CN108769521A (en) | A kind of photographic method, mobile terminal and computer readable storage medium | |
| CN112633117A (en) | Plankton classification and identification method and system | |
| US8879805B2 (en) | Automated image identification method | |
| CN112580531A (en) | Method and system for identifying and detecting true and false license plates | |
| CN108345847A (en) | A kind of facial image label data generation system and method | |
| CN113537190A (en) | Multi-image identification method and device | |
| CN110610178A (en) | Image recognition method, device, terminal and computer readable storage medium | |
| CN106156774A (en) | Image processing method and image processing system | |
| CN108090430B (en) | Face detection method and device | |
| CN113469138A (en) | Object detection method and device, storage medium and electronic equipment | |
| CN111611843A (en) | Face detection preprocessing method, device, equipment and storage medium | |
| CN112329574A (en) | Automatic acquisition method and device applied to cat nose line |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |