CN104125386B - Image processor and its image treatment method - Google Patents
Image processor and its image treatment method Download PDFInfo
- Publication number
- CN104125386B CN104125386B CN201310147584.0A CN201310147584A CN104125386B CN 104125386 B CN104125386 B CN 104125386B CN 201310147584 A CN201310147584 A CN 201310147584A CN 104125386 B CN104125386 B CN 104125386B
- Authority
- CN
- China
- Prior art keywords
- image
- group
- processor
- raw video
- divided
- 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.)
- Active
Links
Abstract
The present invention proposes a kind of image processor and its image treatment method.Image processor includes a processor.One raw video is divided into multiple group's images by processor, and respectively will rotate an angle by group's image, to produce an image output.
Description
Technical field
The present invention is on a kind of image processor and its image treatment method.More specifically, image of the invention
One raw video is divided into multiple group's images by processing unit, and each group's image is rotated an angle, defeated to produce one
Go out image.
Background technology
With image capture unit（Such as：Camera, video recorder and any hand-held dress for loading image acquisition module
Put）Popularization, people can pass through image capture unit record life in dribs and drabs.
For example, the member in meeting usually passes through paper pen and records respective notes.After meeting adjourned, if member is intended to
The notes of other members are obtained, then would generally capture the image of each notes one by one using image capture unit, or once pick
The image all taken down notes is taken, this is then included into the image all taken down notes by manual type to operate image processing software one again
Taken down notes each to being divided into multiple images on one ground.
However, the above-mentioned practice is all quite inconvenient and time-consuming, when particularly conference member is considerable.In view of this,
How more convenient image capture and image processing mechanism are provided, allows user can be more direct and quickly obtains the shadow of each notes
Picture, is industry urgent problem to be solved.
The content of the invention
It is an object of the invention to provide a kind of image processor and its image treatment method.Image processor is by one
Image Segmentation comprising multiple notes is multiple group's images, wherein each group's image corresponds to a notes.Then, image processing
These group's images are rotated an angle by device respectively, to produce an image output.Rectify consequently, it is possible to which image output is display
Each notes, so that user reads.
To reach above-mentioned purpose, the present invention proposes a kind of image processor, and it includes a processor.The processor to
One raw video is divided into multiple group's images, and respectively will rotate an angle by group's image, to produce an image output.
In addition, the present invention more proposes a kind of image treatment method, it is suitable for an image processor, and it includes a processing
Device.The processor performs the image treatment method.The image treatment method includes step：(a) raw video is divided into more
A group's image；And (b) respectively will rotate an angle by group's image, to produce an image output.
Brief description of the drawings
For the above objects, features and advantages of the present invention can be become apparent, the tool below in conjunction with attached drawing to the present invention
Body embodiment elaborates, wherein：
Fig. 1 is the schematic diagram of the image processor 1 of first embodiment of the invention；
Fig. 2A to 2C describes the raw video 102, group's image 104 and image output 106 of first embodiment respectively；
Fig. 3 is the schematic diagram of the image processor 3 of second embodiment of the invention；
Fig. 4 is the schematic diagram of the image processor 4 of third embodiment of the invention；And
Fig. 5 is the flow chart of the image treatment method of fourth embodiment of the invention.
Main element symbol description：
1 image processor
3 image processors
4 image processors
11 processors
13 receivers
13 image acquisition modules
102 raw videos
104 group's images
106 image outputs
Embodiment
The present invention is directed primarily to a kind of image processor and its image treatment method.It should be noted that implement below
Example is not used to limit the scope of the invention to the technology contents that illustrate the present invention.Furthermore following embodiments and attached drawing
In, element unrelated to the invention has been omitted from and does not illustrate, and the size relationship of each interelement is only to ask to be readily understood by schema,
It is not used to limitation actual ratio.
The first embodiment of the present invention is as shown in Figure 1, it is the schematic diagram of an image processor 1.Image processor 1
Include a processor 11.Image processor 1 can be a camera, a video camera, a smart mobile phone or any with image
The device of reason ability.
One raw video 102 is divided into multiple group's images 104 by processor 11.Then, each group's image is rotated one
Angle, to produce an image output 106.Specifically, raw video 102 is one to include multiple images independently taken down notes, and is such as schemed
Shown in 2A.Processor 102 analyzes raw video 102, to be divided into multiple group's images 104, as shown in Figure 2 B.Finally,
Each group's image 104 is rotated an angle by processor 11, so that it is rectified, and produces image output 106（As shown in Figure 2 C）, with
Read for a user.
How raw video 102 is divided into an implementation state of these group's images 104 by explanation description processor 11 below
Sample.Distance based on each notes described content to each other is usually relatively near, and first, processor 11 is converted to raw video 102
One grayscale image, and grayscale image two-value is turned into a binaryzation image.Then, processor 11 is based on one 8 adjacent connection algorithms
（8-neighbor connectivity algorithm）, it is some by binaryzation Image Segmentation.Since 8 adjacent connections are drilled
Algorithm belongs to the known technology of this area, therefore not in this to go forth.
Then, processor 11 is according to the Euclidean distance between each several part（Euclidean distance）, by these parts
It is divided into multiple groups, and according to these groups, produces these group's images 104.In detail, processor 11 be calculate each several part between
An Euclidean distance, if the Euclidean distance between some parts is less than a preset value, these parts are attributed to same group.
In addition, in another embodiment aspect, the contents that processor 11 is based more on different notes should use different colours
Pen write, raw video 102 is divided into some.First, processor 11 analyzes the multiple of raw video 102
Line color, and according to these line colors, raw video 102 is divided into some.Then, according to one between each several part
These parts are divided into multiple groups by Euclidean distance, and according to these groups, produce these group's images 104.
In addition, in another embodiment aspect, the contents that processor 11 is based more on different notes should use different lines
The pen of thickness is write, and raw video 102 is divided into some.First, processor 11 analyzes raw video 102
Multiple line weights, and according to these line weights, raw video 102 is divided into some.Then, according between each several part
An Euclidean distance, these parts are divided into multiple groups, and according to these groups, produce these group's images 104.
How each group's image 104 is rotated an embodiment aspect of an angle by explanation description processor 11 below.First, locate
Each group's image 104 is carried out optics character identification by reason device 11, to identify multiple characters, and according to respectively group's image this
One character presentation direction of a little characters, determines to rotate the angle of each group's image 104.In detail, since writing would generally be along water
Square to progress, therefore after character is identified, you can the horizontal direction taken down notes, to obtain rotating angle.
In addition, in another embodiment aspect, processor 11 can detect the grid in each group's image 104, and according to each
The grid of group's image 104, determines to rotate the angle of each group's image 104.In detail, if the writing of notes system is in grid
Paper, then be upright shape based on grid, therefore can obtain rotating angle.
In addition, in another embodiment aspect, each group's image 104 can be carried out optics character identification by processor 11, with
Identify multiple characters, and a surrounding lines of these characters according to each group's image 104, determine to rotate each group's image
104 angle.In detail, since the mode that the emphasis of word would generally be marked and marked by writing is usually horizontal line, therefore
After character is identified, you can according to the horizontal line around these characters, obtain rotating angle.
The second embodiment of the present invention is as shown in Fig. 2, it is the schematic diagram of an image processor 2.In this present embodiment,
Image processor 2 further includes a receiver 13 in addition to comprising processor 11, it is electrically connected to processor 11.
Below in explanation description the present embodiment, how raw video 102 is divided into the one of group's image 104 by processor 11
Embodiment aspect.If there are one or more cameras in meeting room（Figure does not illustrate）, meeting room content environment is shot, with
One or more environmental images are obtained, then receiver 13 can receive an at least environmental images, and processor from an at least camera
Multiple faces in a 11 detectable at least environmental images（face）, and according to these faces, determine to rotate each group's image
104 angle.
In addition to face is detected, processor 11 is desirable and the ground in generation detects multiple hands in an at least environmental images
（hand）, and according to these hands, determine to rotate the angle of each group's image 104.Furthermore processor 11 is also desirable and generation
Multiple pens in a ground detection at least environmental images（pen）, and according to these pens, determine to rotate the angle of each group's image 104
Degree.
In addition, in another embodiment aspect, if having one or more directional microphones in meeting room（Figure does not illustrate）,
Record to meeting room content environment, to obtain one or more multiple sound beam directions, then receiver 13 more can be from least one
Directional microphone receives multiple sound beam direction information, and processor 11 more can determine rotation according to these sound beam direction information
The angle of each group's image 104.
In addition, in another embodiment aspect, if the upper surface of the desk for personnel's writing in meeting room is a touch surface
Plate, to sense the touching of hand when everyone writes, then receiver 13 more can receive multiple sensing signals from contact surface plate, wherein
Each sensing signal is in response to produced by the action of writing of a user.In the case, processor 11 more can be according to these senses
Signal is surveyed, determines to rotate the angle of each group's image 104.
In addition, being different from first embodiment, in this present embodiment, receiver 13 can be from an image capture unit（Figure is not painted
Show）Raw video 102 is received, device 14 for processing is handled.Image capture unit can be a camera, a video camera or any
What loads the hand-held device of image acquisition module.
The third embodiment of the present invention is as shown in figure 3, it is the schematic diagram of an image processor 3.In this present embodiment,
Image processor 3 further includes an image acquisition module 15, it is electrically connected in addition to comprising processor 11 and receiver 13
Processor 11.In the present embodiment, 102 system of raw video is captured by image acquisition module 15, and device 14 for processing is handled, and
It is non-to be received by receiver 13 from an image capture unit.In originally applying in example, image processor 1 can be a camera, a photography
Machine, one smart mobile phone or any device with image processing capabilities and image acquisition module with image acquisition module.
The fourth embodiment of the present invention is as shown in figure 5, it is the flow chart of the image treatment method of the present invention.At image
Reason method is the image processor to contain a processor, image processor 1, the such as second reality such as first embodiment
Apply the image processor 3 of example and the image processor 4 such as 3rd embodiment.Performed by image treatment method processor.
First, in step S501, a raw video is divided into multiple group's images.Then, will in step S503
Each group's image rotates an angle, to produce an image output.Except above-mentioned steps, fourth embodiment can also perform the first implementation
Example, second embodiment and the described all operations of 3rd embodiment and function, technical field those of ordinary skill can be straight
Connect and understand how image treatment method of the invention is based on above-mentioned first embodiment, second embodiment and 3rd embodiment to perform
These operations and function, therefore details are not described herein.
In conclusion the image processor image that can include multiple notes by one of the present invention, analyzed and will be right
The part that should respectively take down notes is divided and is rotated, to produce a proper image output.Consequently, it is possible to the present invention provide it is a kind of compared with
Convenient image capture and image processing mechanism, allow user can be more direct and quickly obtain the image of each notes.
It should be noted that the above embodiments only to disclose the present invention embodiment aspect, and explaination the present invention skill
Art feature, is not used for limiting the protection category of the present invention.In addition, any skilled person can unlabored change or equal
Arrangement etc. property belongs to the scope advocated of the present invention, and protection scope of the present invention should be subject to claims.
Claims (18)
1. a kind of image processor, comprising：
One processor, to：
One raw video is divided into multiple group's images, the wherein raw video includes multiple notes, respectively group's image point
One of them Dui Ying not be taken down notes to the plurality of；
Identified by an optics character, analyze respectively group's image, to determine a rotation angle of respectively group's image；
Respectively the corresponding rotation angle will be rotated by group's image；And
Postrotational the plurality of group's image is merged to produce an image output, the image output show it is rotated after it is proper
The respectively notes.
2. image processor as claimed in claim 1, also comprising a receiver, is electrically connected to the processor, to certainly
One image capture unit receives the raw video.
3. image processor as claimed in claim 1, also comprising an image acquisition module, is electrically connected to the processor,
To capture the raw video.
4. image processor as claimed in claim 1, it is characterised in that the processor also to：
The raw video is converted into a grayscale image；
The grayscale image two-value is turned into a binaryzation image；
Based on one 8 adjacent connection algorithms (8-neighbor connectivity algorithm), by the binaryzation Image Segmentation
For some；
According to the Euclidean distance (Euclidean distance) between the respectively part, the part is divided into multiple groups；With
And
According to the group, group's image is produced.
5. image processor as claimed in claim 1, it is characterised in that the processor also to：
Analyze multiple line colors of the raw video；
According to the line color, which is divided into some；
According to the Euclidean distance between the respectively part, the part is divided into multiple groups；And
According to the group, group's image is produced.
6. image processor as claimed in claim 1, it is characterised in that the processor also to：
Analyze multiple line weights of the raw video；
According to the line weight, which is divided into some；
According to the Euclidean distance between the respectively part, the part is divided into multiple groups；And
According to the group, group's image is produced.
7. image processor as claimed in claim 1, it is characterised in that the processor is to be somebody's turn to do respectively group's image
Optics character identifies, to identify multiple characters, and a character book direction of the character according to respectively group's image, determines
Rotate the rotation angle of respectively group's image.
8. image processor as claimed in claim 1, it is characterised in that the processor is to be somebody's turn to do respectively group's image
Optics character identifies, to identify multiple characters, and a surrounding lines of the character according to respectively group's image, determines rotation
Turn the rotation angle of respectively group's image.
9. a kind of grid image processor, comprising：
One processor, to：
One raw video is divided into multiple group's images, the wherein raw video includes multiple notes, respectively group's image point
One of them Dui Ying not be taken down notes to the plurality of；
Detect the grid in respectively group's image；
According to the grid of respectively group's image, determine to rotate the rotation angle of respectively group's image；
Respectively the corresponding rotation angle will be rotated by group's image；And
Postrotational the plurality of group's image is merged to produce an image output, the image output show it is rotated after it is proper
The respectively notes.
10. a kind of image treatment method for being used for an image processor, which includes a processor, the image
Processing method is as performed by the processor and comprises the steps of：
(a) raw video is divided into multiple group's images, wherein the raw video includes multiple notes, respectively group's image
It is respectively corresponding to one of the plurality of notes；
(b) identified by an optics character, analyze respectively group's image, to determine a rotation angle of respectively group's image；
(c) respectively the corresponding rotation angle will be rotated by group's image；And
(d) postrotational the plurality of group's image is merged to produce an image output, which shows rotated rear end
Positive respectively notes.
11. image treatment method as claimed in claim 10, it is characterised in that the image processor is also received comprising one
Device, is electrically connected to the processor, and is also comprised the steps of before the step (a)：
The receiver is set to receive the raw video from an image capture unit.
12. image treatment method as claimed in claim 10, it is characterised in that the image processor is also picked comprising an image
Modulus block, is electrically connected to the processor, and is also comprised the steps of before the step (a)：
The image acquisition module is set to capture the raw video.
13. image treatment method as claimed in claim 10, it is characterised in that step (a) also comprises the steps of：
(a1) raw video is converted into a grayscale image；
(a2) the grayscale image two-value is turned into a binaryzation image；
(a3) it is some by the binaryzation Image Segmentation based on one 8 adjacent connection algorithms；
(a4) according to the Euclidean distance between the respectively part, the part is divided into multiple groups；And
(a5) according to the group, group's image is produced.
14. image treatment method as claimed in claim 10, it is characterised in that step (a) also comprises the steps of：
(a1) multiple line colors of the raw video are analyzed；
(a2) according to the line color, which is divided into some；
(a3) according to the Euclidean distance between the respectively part, the part is divided into multiple groups；And
(a4) according to the group, group's image is produced.
15. image treatment method as claimed in claim 10, it is characterised in that step (a) also comprises the steps of：
(a1) multiple line weights of the raw video are analyzed；
(a2) according to the line weight, which is divided into some；
(a3) according to the Euclidean distance between the respectively part, the part is divided into multiple groups；And
(a4) according to the group, group's image is produced.
16. image treatment method as claimed in claim 10, it is characterised in that the step (b) also includes：
(b1) respectively optics character identification will be carried out by group's image, to identify multiple characters；And
(b2) according to a character presentation direction of the respectively character of group's image, determine to rotate the rotation of respectively group's image
Gyration.
17. image treatment method as claimed in claim 10, it is characterised in that the step (b) also includes：
(b1) respectively optics character identification will be carried out by group's image, to identify multiple characters；And
(b2) according to a surrounding lines of the respectively character of group's image, determine to rotate the anglec of rotation of respectively group's image
Degree.
18. a kind of grid image treatment method for being used for a grid image processor, which includes a processing
Device, the image treatment method is as performed by the processor and comprises the steps of：
(a) raw video is divided into multiple group's images, wherein the raw video includes multiple notes, respectively group's image
It is respectively corresponding to one of the plurality of notes；
(b) grid in respectively group's image is detected；
(c) according to the grid of respectively group's image, determine to rotate the rotation angle of respectively group's image；
(d) respectively the corresponding rotation angle will be rotated by group's image；And
(e) postrotational the plurality of group's image is merged to produce an image output, which shows rotated rear end
Positive respectively notes.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310147584.0A CN104125386B (en) | 2013-04-25 | 2013-04-25 | Image processor and its image treatment method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310147584.0A CN104125386B (en) | 2013-04-25 | 2013-04-25 | Image processor and its image treatment method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104125386A CN104125386A (en) | 2014-10-29 |
| CN104125386B true CN104125386B (en) | 2018-04-17 |
Family
ID=51770640
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310147584.0A Active CN104125386B (en) | 2013-04-25 | 2013-04-25 | Image processor and its image treatment method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104125386B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108363487B (en) * | 2018-01-29 | 2020-04-07 | 阿里巴巴集团控股有限公司 | Construction method of dream reproduction model, and dream reproduction method and device |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1259713A (en) * | 1998-11-27 | 2000-07-12 | 英业达集团(西安)电子技术有限公司 | Portable equipment for taking photograph and reading and its operating method |
| CN101426068A (en) * | 2007-11-01 | 2009-05-06 | 宏达国际电子股份有限公司 | Method for image display |
| CN101499253A (en) * | 2008-01-28 | 2009-08-05 | 宏达国际电子股份有限公司 | Output picture regulation method and apparatus |
| CN102494733A (en) * | 2011-12-12 | 2012-06-13 | 西安电子科技大学 | Water level monitoring system based on image processing and method |
| CN102663337A (en) * | 2012-03-16 | 2012-09-12 | 江南大学 | Method for quick Data Matrix two-dimensional barcode identifying under simple condition background |
| CN102737367A (en) * | 2012-06-17 | 2012-10-17 | 四川农业大学 | Tea image enhancement and division method based on color characteristic |
| CN102737381A (en) * | 2012-06-13 | 2012-10-17 | 西安电子科技大学 | Image partitioning method based on mixed bipartite graph clustering integration |
| CN102831419A (en) * | 2012-07-27 | 2012-12-19 | 中国科学院自动化研究所 | Method for detecting and blurring plate number in street view image rapidly |
| CN102999247A (en) * | 2011-07-07 | 2013-03-27 | 宏达国际电子股份有限公司 | Methods and systems for displaying interfaces |
| CN103020941A (en) * | 2012-12-28 | 2013-04-03 | 昆山市工业技术研究院有限责任公司 | Panoramic stitching based rotary camera background establishment method and panoramic stitching based moving object detection method |
| CN103049738A (en) * | 2012-12-07 | 2013-04-17 | 北京中邮致鼎科技有限公司 | Method for segmenting multiple vehicles connected through shadows in video |
-
2013
- 2013-04-25 CN CN201310147584.0A patent/CN104125386B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1259713A (en) * | 1998-11-27 | 2000-07-12 | 英业达集团(西安)电子技术有限公司 | Portable equipment for taking photograph and reading and its operating method |
| CN101426068A (en) * | 2007-11-01 | 2009-05-06 | 宏达国际电子股份有限公司 | Method for image display |
| CN101499253A (en) * | 2008-01-28 | 2009-08-05 | 宏达国际电子股份有限公司 | Output picture regulation method and apparatus |
| CN102999247A (en) * | 2011-07-07 | 2013-03-27 | 宏达国际电子股份有限公司 | Methods and systems for displaying interfaces |
| CN102494733A (en) * | 2011-12-12 | 2012-06-13 | 西安电子科技大学 | Water level monitoring system based on image processing and method |
| CN102663337A (en) * | 2012-03-16 | 2012-09-12 | 江南大学 | Method for quick Data Matrix two-dimensional barcode identifying under simple condition background |
| CN102737381A (en) * | 2012-06-13 | 2012-10-17 | 西安电子科技大学 | Image partitioning method based on mixed bipartite graph clustering integration |
| CN102737367A (en) * | 2012-06-17 | 2012-10-17 | 四川农业大学 | Tea image enhancement and division method based on color characteristic |
| CN102831419A (en) * | 2012-07-27 | 2012-12-19 | 中国科学院自动化研究所 | Method for detecting and blurring plate number in street view image rapidly |
| CN103049738A (en) * | 2012-12-07 | 2013-04-17 | 北京中邮致鼎科技有限公司 | Method for segmenting multiple vehicles connected through shadows in video |
| CN103020941A (en) * | 2012-12-28 | 2013-04-03 | 昆山市工业技术研究院有限责任公司 | Panoramic stitching based rotary camera background establishment method and panoramic stitching based moving object detection method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104125386A (en) | 2014-10-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2020199906A1 (en) | Facial keypoint detection method, apparatus and device, and storage medium | |
| WO2019101021A1 (en) | Image recognition method, apparatus, and electronic device | |
| CN106446873B (en) | Face detection method and device | |
| CN109151442B (en) | Image shooting method and terminal | |
| CN103189827B (en) | Object display apparatus and object displaying method | |
| CN102231093B (en) | Screen locating control method and device | |
| CN114648480A (en) | Surface defect detection method, device and system | |
| CN109684980B (en) | Automatic scoring method and device | |
| US20130202161A1 (en) | Enhanced face detection using depth information | |
| CN107710111A (en) | It is determined that for the angle of pitch close to sensitive interaction | |
| US20140233827A1 (en) | Identification method for valuable file and identification device thereof | |
| WO2021129305A1 (en) | Calibration rod testing method for optical motion capture system, device, apparatus, and storage medium | |
| CN102822770B (en) | Associated with | |
| EP1611502A2 (en) | Implement for optically inferring information from a planar jotting surface | |
| CN102163108B (en) | Method and device for identifying multiple touch points | |
| CN106326802B (en) | Quick Response Code bearing calibration, device and terminal device | |
| CN101520700A (en) | Camera-based three-dimensional positioning touch device and positioning method thereof | |
| WO2022152001A1 (en) | Gesture recognition method and apparatus, electronic device, readable storage medium, and chip | |
| US20160188950A1 (en) | Optical fingerprint recognition device | |
| JP7286208B2 (en) | Biometric face detection method, biometric face detection device, electronic device, and computer program | |
| WO2010082226A1 (en) | Pointing device, graphic interface and process implementing the said device | |
| CN104125386B (en) | Image processor and its image treatment method | |
| CN109241942B (en) | Image processing method and device, face recognition equipment and storage medium | |
| CN103914186A (en) | Image location recognition system | |
| CN103616952B (en) | It is determined that the method and three-dimension sensor of action |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |