CN107832763A - Graphic image processing method and apparatus - Google Patents
Graphic image processing method and apparatus Download PDFInfo
- Publication number
- CN107832763A CN107832763A CN201711082572.9A CN201711082572A CN107832763A CN 107832763 A CN107832763 A CN 107832763A CN 201711082572 A CN201711082572 A CN 201711082572A CN 107832763 A CN107832763 A CN 107832763A
- Authority
- CN
- China
- Prior art keywords
- image
- character
- image processing
- shell
- input
- 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
- 238000003672 processing method Methods 0.000 title abstract description 3
- 238000012545 processing Methods 0.000 claims abstract description 45
- 238000000034 method Methods 0.000 claims abstract description 41
- 230000008569 process Effects 0.000 claims abstract description 10
- 238000001914 filtration Methods 0.000 claims abstract description 7
- 238000001514 detection method Methods 0.000 claims abstract description 4
- 238000007781 pre-processing Methods 0.000 claims abstract description 4
- 230000000694 effects Effects 0.000 claims description 9
- 230000011218 segmentation Effects 0.000 claims description 6
- 230000003321 amplification Effects 0.000 claims description 3
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 238000003199 nucleic acid amplification method Methods 0.000 claims description 3
- 230000003287 optical effect Effects 0.000 claims description 3
- 230000000737 periodic effect Effects 0.000 claims description 3
- 230000002708 enhancing effect Effects 0.000 claims description 2
- 230000000717 retained effect Effects 0.000 claims description 2
- 239000007787 solid Substances 0.000 claims 1
- 238000005516 engineering process Methods 0.000 description 3
- 238000006467 substitution reaction Methods 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 239000000686 essence Substances 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/14—Image acquisition
- G06V30/148—Segmentation of character regions
- G06V30/153—Segmentation of character regions using recognition of characters or words
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/222—Studio circuitry; Studio devices; Studio equipment
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/76—Television signal recording
- H04N5/765—Interface circuits between an apparatus for recording and another apparatus
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Signal Processing (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Character Input (AREA)
- Image Processing (AREA)
- Image Analysis (AREA)
Abstract
The invention discloses a graphic image processing method and a graphic image processing device, which comprise the following steps: a. obtaining an original image, an image captured by a digital camera or other scanning device; b. image preprocessing, namely performing graying, image enhancement, filtering, binarization and other processing on the acquired image; c. positioning a character wheel, and acquiring an instrument character wheel by using an image cutting method; d. dividing characters, namely obtaining single characters by utilizing a character outline concave-convex detection positioning dividing method; e. and (4) character recognition, namely matching the characters in the database by utilizing a template matching method so as to confirm the characters. The natural shape of the target area can be accurately detected by using the character positioning method of the large-mean template and the dynamic threshold, only one parameter which plays a main role in the result is used in the whole positioning process, the accuracy of graphic image processing is improved, the application range of graphic image processing equipment can be enlarged by increasing various interfaces, and the graphic image processing efficiency is improved.
Description
Technical field
The present invention relates to a kind of handle the pictures technical field, specially Graphics and Image Processing and equipment.
Background technology
With the development of digital technology, image technique should be through becoming widely available；It is more real that image technique is related to expression
Image, this can be by distributing to image to realize by the information on depth；Image technique can be applied to various fields, such as
The communications field, computer game field, medical field, broadcast world etc.；Image technique provides the user the sense of reality, so as to he or
She is as watching real-life image.
At present, existing Graphics and Image Processing and equipment be also there is the place of some shortcomings, such as；Existing figure
Shape image processing method and equipment are often produced during graph and image processing because of function deficiency, therefore to figure graphics process
Limitation has been given birth to, and the more common character locating method typically used during existing graph and image processing, this can cause not
The natural shape of target area can be detected exactly.
The content of the invention
The technical problem to be solved in the present invention is the defects of overcoming prior art, there is provided Graphics and Image Processing and is set
It is standby, the nature of target area can be detected exactly by the use of big average template and the character locating method of dynamic threshold
Shape, in whole position fixing process, there was only one to the parameter that result plays a major role, improve the accurate of graph and image processing
Property, by the increase of multiple interfaces, the use range of graph and image processing equipment can be increased, improve the effect of graph and image processing
Rate.
To solve the above problems, the present invention provides following technical scheme：Graphics and Image Processing, comprise the following steps：
A. the acquisition of original image, the image photographed by digital camera or other scanning means；
B. image preprocessing, gray processing, the processing such as image enhaucament, filtering, binaryzation are carried out to the image collected；
C. character wheel is positioned, and instrument character wheel is obtained with the method for image cut；
D. Character segmentation, single character is obtained using the concavo-convex detection locating segmentation method of character outline；
E. character recognition, matched using the method for template matches with the character in database so as to confirm character,
Obtain instrument registration to the end.
As a kind of preferred embodiment of the present invention, digital camera or other scanning means subject in the step a
Body, it is by subject reflection light, travels to camera lens, through in lens focus to CCD chip, CCD gathers according to the power of light
Corresponding electric charge, through periodic discharge, the electric signal for representing a width width picture is produced, it is automatic by the amplification of pre- intermediate level circuit, AGC
Gain controls, and is data signal in what is handled by picture processing chip, so through analog-to-digital conversion to image digital signal processing IC.
It is in RGB models, such as that as a kind of preferred embodiment of the present invention, in the step b, image, which carries out gray scale,
During fruit R=G=B, then colored to represent a kind of greyscale color, wherein R=G=B value is gray value, and therefore, gray level image is each
Pixel only needs a byte storage gray value (also known as intensity level, brightness value), tonal range 0-255；Described image strengthens
Original unsharp image is apparent from or emphasized some features interested, expanded view is as between different objects feature
Difference, suppress uninterested feature, be allowed to improve picture quality, abundant information amount, strengthen image interpretation and recognition effect, institute
It is that the noise of target image is suppressed under conditions of image detail feature is retained as far as possible to state filtering, the binaryzation be by
The gray value of pixel on image is arranged to 0 or 255, that is, whole image is showed to the mistake of obvious black and white effect
Journey.
As a kind of preferred embodiment of the present invention, character locating method has used big average template in the step c
And dynamic threshold, the natural shape of target area is detected exactly.
As a kind of preferred embodiment of the present invention, character recognition is using optical character identification in the step e
Method, determine its shape by detecting dark, bright pattern, shape then translated into computword with character identifying method
Process.
As a kind of preferred embodiment of the present invention, the equipment of described graph and image processing, including shell are described outer
The front of shell is provided with power switch, operation screen, knob, ESC buttons, input shortcut and control shortcut, the power supply
Switch is fixedly connected on left end immediately ahead of the shell, and the operation screen is fixedly connected on the shell, and with institute
The right side of power switch is stated, the knob is flexibly connected on the housing, and positioned at the right side of the operation screen, it is described
ESC button activities are connected to the lower right of the knob, and the input shortcut is fixedly connected on the housing, and is located at
The right side of the knob, the control shortcut are fixedly connected on the right side of the input shortcut；The shell rear surface is provided with
Screen input interface, VGA input interfaces, HDMI input interfaces, SDI extension input interface, DVI output interfaces, subtending port and
AC power interface, the screen input interface are located at the left end of the shell rear surface, and the VGA input interfaces regard positioned at described
Shield the lower right of input interface, the HDMI input interfaces are fixedly connected on the right side of the VGA input interfaces, and the SDI expands
Exhibition input interface is fixedly connected on the upper right side of the HDMI input interfaces, and the DVI output interfaces are fixedly connected on the SDI
The lower section of input interface is extended, the subtending port is fixedly connected on the right side of the SDI extensions input interface, the alternating current
Source interface is fixedly connected on the upper right side of the shell.
As a kind of preferred embodiment of the present invention, the operation screen is connected by way of inlaying with the shell
Connect, show that key frame source is divided into DVI, picture-in-picture source and VGA on the operation screen.
As a kind of preferred embodiment of the present invention, the size of the shell is 480*274*51 (mm), input power
For AC100-240V, 50/60Hz.
Compared with prior art, beneficial effects of the present invention are as follows：
Graphics and Image Processing and equipment of the present invention, pass through big average template and the character locating method of dynamic threshold
Using the natural shape that can detect target area exactly, in whole position fixing process, the ginseng that is played a major role to result
Number only one, improves the accuracy of graph and image processing, by the increase of multiple interfaces, can increase graph and image processing and set
Standby use range, improve the efficiency of graph and image processing.
Brief description of the drawings
Fig. 1 is graph image pretreatment process figure of the present invention；
Fig. 2 is the structural representation of graph and image processing equipment of the present invention；
Fig. 3 is the back side front view of graph image of the present invention.
In figure：Shell 1, power switch 2, screen 3 is operated, knob 4, ESC buttons 5, inputs shortcut 6, controls shortcut
7, screen input interface 8, VGA input interfaces 9, HDMI input interfaces 10, SDI extension input interfaces 11, DVI output interfaces 12,
Subtending port 13, AC power interface 14.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes.
Fig. 1-3 are referred to, the present invention provides a kind of technical scheme：Graphics and Image Processing, comprise the following steps：
A. the acquisition of original image, the image photographed by digital camera or other scanning means；
B. image preprocessing, gray processing, the processing such as image enhaucament, filtering, binaryzation are carried out to the image collected；
C. character wheel is positioned, and instrument character wheel is obtained with the method for image cut；
D. Character segmentation, single character is obtained using the concavo-convex detection locating segmentation method of character outline；
E. character recognition, matched using the method for template matches with the character in database so as to confirm character,
Obtain instrument registration to the end.
Digital camera or other scanning means shooting object, are by subject reflection light, travel in the step a
Camera lens, through in lens focus to CCD chip, CCD gathers corresponding electric charge according to the power of light, through periodic discharge, produce table
Show the electric signal of a width width picture, by the amplification of pre- intermediate level circuit, AGC automatic growth controls, handled in by picture processing chip
Be data signal, so through analog-to-digital conversion to image digital signal handle IC.
It is in RGB models, if during R=G=B, colour represents a kind of gray scale that image, which carries out gray scale, in the step b
The value of color, wherein R=G=B is gray value, and therefore, each pixel of gray level image only needs a byte storage gray value (also known as
Intensity level, brightness value), tonal range 0-255；Described image enhancing is that original unsharp image is apparent from or emphasized
Some features interested, the difference in expanded view picture between different objects feature, suppress uninterested feature, are allowed to improve
Picture quality, abundant information amount, strengthen image interpretation and recognition effect, and the filtering is to retain image detail feature as far as possible
Under the conditions of the noise of target image is suppressed, the binaryzation be by the gray value of the pixel on image be arranged to 0 or
255, that is, whole image is showed to the process of obvious black and white effect.
Character locating method has used big average template and dynamic threshold in the step c, detects target area exactly
The natural shape in domain.
Character recognition is determined using the method for optical character identification by detecting dark, bright pattern in the step e
Its shape, then shape is translated into the process of computword with character identifying method.
The equipment of described graph and image processing, including shell 1, the front of the shell 1 are provided with power switch 2, behaviour
Make screen 3, knob 4, ESC buttons 5, input shortcut 6 and control shortcut 7, the power switch 2 is fixedly connected on described outer
The left end in the front of shell 1, the operation screen 3 are fixedly connected on the shell 1, and with the right side of the power switch 2,
The knob 4 is movably connected on the shell 1, and positioned at the right side of the operation screen 3, the activity of ESC buttons 5 is even
The lower right of the knob 4 is connected on, the input shortcut 6 is fixedly connected on the shell 1, and is located at the knob 4
Right side, it is described control shortcut 7 be fixedly connected on it is described input shortcut 6 right side；It is defeated that the back side of shell 1 is provided with screen
Incoming interface 8, VGA input interfaces 9, HDMI input interfaces 10, SDI extensions input interface 11, DVI output interfaces 12, subtending port
13 and AC power interface 14, the screen input interface 8 be located at the left end at the back side of shell 1, the VGA input interfaces 9
Positioned at the lower right of the screen input interface 8, the HDMI input interfaces 10 are fixedly connected on the VGA input interfaces 9
Right side, the SDI extensions input interface 11 are fixedly connected on the upper right side of the HDMI input interfaces 10, and the DVI outputs connect
Mouth 12 is fixedly connected on the lower section of the SDI extensions input interface 11, and the subtending port 13 is fixedly connected on the SDI extensions
The right side of input interface 11, the AC power interface 14 are fixedly connected on the upper right side of the shell 1.
The operation screen 3 is connected by way of inlaying with the shell 1, and main picture is shown on the operation screen 3
Face source is divided into DVI, picture-in-picture source and VGA.
The size of the shell 1 is 480*274*51mm, input power AC100-240V, 50/60Hz.
The shell 1 of the present invention, power switch 2, screen 3, knob 4 are operated, ESC buttons 5 input shortcut 6, and control is quick
Key 7, screen input interface 8, VGA input interfaces 9, HDMI input interfaces 10, SDI extension input interfaces 11, DVI output interfaces
12, subtending port 13, the part that the grade part of AC power interface 14 is universal standard part or those skilled in the art know, its
Structure and principle all can be learnt by technical manual or be known by normal experiment method for this technology personnel, pass through big average
The use of template and the character locating method of dynamic threshold can detect the natural shape of target area exactly, entirely fixed
During position, there was only one to the parameter that result plays a major role, improve the accuracy of graph and image processing, connect by a variety of
The increase of mouth, the use range of graph and image processing equipment can be increased, improve the efficiency of graph and image processing.
The general principle and principal character and advantages of the present invention of the present invention has been shown and described above, for this area skill
For art personnel, it is clear that the invention is not restricted to the details of above-mentioned one exemplary embodiment, and without departing substantially from the present invention spirit or
In the case of essential characteristic, the present invention can be realized in other specific forms.Which point therefore, no matter from the point of view of, all should incite somebody to action
Embodiment regards exemplary as, and be it is nonrestrictive, the scope of the present invention by appended claims rather than on state
Bright restriction, it is intended that all changes fallen in the implication and scope of the equivalency of claim are included in the present invention
It is interior.Any reference in claim should not be considered as to the involved claim of limitation.
The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention, although with reference to foregoing reality
Apply example the present invention is described in detail, for those skilled in the art, it still can be to foregoing each implementation
Technical scheme described in example is modified, or carries out equivalent substitution to which part technical characteristic.All essences in the present invention
God any modification, equivalent substitution and improvements made etc., should be included in the scope of the protection with principle.
Claims (8)
1. Graphics and Image Processing, it is characterised in that comprise the following steps：
A. the acquisition of original image, the image photographed by digital camera or other scanning means；
B. image preprocessing, gray processing, the processing such as image enhaucament, filtering, binaryzation are carried out to the image collected；
C. character wheel is positioned, and instrument character wheel is obtained with the method for image cut；
D. Character segmentation, single character is obtained using the concavo-convex detection locating segmentation method of character outline；
E. character recognition, matched so as to confirm character, obtained with the character in database using the method for template matches
Last instrument registration.
2. Graphics and Image Processing according to claim 1, it is characterised in that：In the step a digital camera or its
Its scanning means shoots object, is by subject reflection light, travels to camera lens, through in lens focus to CCD chip, CCD
Corresponding electric charge is gathered according to the power of light, through periodic discharge, produces the electric signal for representing a width width picture, by putting in pre-
Circuit amplification, AGC automatic growth controls, it is data signal in what is handled by picture processing chip, so through analog-to-digital conversion to scheming
As Digital Signal Processing IC.
3. Graphics and Image Processing according to claim 1, it is characterised in that：Image carries out gray scale in the step b
Be in RGB models, if during R=G=B, colour represents a kind of greyscale color, wherein R=G=B value gray value, because
This, each pixel of gray level image only needs a byte storage gray value (also known as intensity level, brightness value), tonal range 0-255；
Described image enhancing is to be apparent from or emphasize some features interested by original unsharp image, different in expanded view picture
Difference between object features, suppress uninterested feature, be allowed to improve picture quality, abundant information amount, strengthen image and sentence
Read and recognition effect, the filtering are that the noise of target image is pressed down under conditions of image detail feature is retained as far as possible
System, the binaryzation is that the gray value of the pixel on image is arranged into 0 or 255, that is, whole image is showed bright
The process of aobvious black and white effect.
4. Graphics and Image Processing according to claim 1, it is characterised in that：Character locating method in the step c
Big average template and dynamic threshold have been used, has detected the natural shape of target area exactly.
5. Graphics and Image Processing according to claim 1, it is characterised in that：Character recognition uses in the step e
Be optical character identification method, its shape is determined by detecting dark, bright pattern, then with character identifying method by shape
Translate into the process of computword.
6. the equipment of the graph and image processing according to claim 1 to 5, including shell (1), it is characterised in that：It is described outer
The front of shell (1) is provided with power switch (2), operation screen (3), knob (4), ESC buttons (5), input shortcut (6) and control
Shortcut (7) processed, the power switch (2) are fixedly connected on the left end immediately ahead of the shell (1), the operation screen (3)
It is fixedly connected on the shell (1), and is movably connected in described with the right side of the power switch (2), the knob (4)
On shell (1), and the knob (4) is movably connected in positioned at the right side of the operation screen (3), the ESC buttons (5)
Lower right, the input shortcut (6) are fixedly connected on the shell (1), and positioned at the right side of the knob (4), institute
State the right side that control shortcut (7) is fixedly connected on the input shortcut (6)；Shell (1) back side inputs provided with screen
Interface (8), VGA input interfaces (9), HDMI input interfaces (10), SDI extension input interface (11), DVI output interfaces (12),
Subtending port (13) and AC power interface (14), the screen input interface (8) are located at the left end at the shell (1) back side,
The VGA input interfaces (9) are located at the lower right of the screen input interface (8), and the HDMI input interfaces (10) are fixed to be connected
The right side of the VGA input interfaces (9) is connected on, the SDI extension input interfaces (11) are fixedly connected on the HDMI inputs and connect
The upper right side of mouth (10), the DVI output interfaces (12) are fixedly connected on the lower section of the SDI extension input interfaces (11), institute
The right side that subtending port (13) is fixedly connected on the SDI extension input interfaces (11) is stated, the AC power interface (14) is solid
Surely it is connected to the upper right side of the shell (1).
7. the equipment of graph and image processing according to claim 6, it is characterised in that：The operation screen (3) passes through edge
Embedding mode is connected with the shell (1), shown on operation screen (3) key frame source be divided into DVI, picture-in-picture source and
VGA。
8. the equipment of graph and image processing according to claim 6, it is characterised in that：The size of the shell (1) is
480*274*51mm, input power AC100-240V, 50/60Hz.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711082572.9A CN107832763A (en) | 2017-11-07 | 2017-11-07 | Graphic image processing method and apparatus |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711082572.9A CN107832763A (en) | 2017-11-07 | 2017-11-07 | Graphic image processing method and apparatus |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107832763A true CN107832763A (en) | 2018-03-23 |
Family
ID=61654674
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711082572.9A Pending CN107832763A (en) | 2017-11-07 | 2017-11-07 | Graphic image processing method and apparatus |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107832763A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109063614A (en) * | 2018-07-19 | 2018-12-21 | 江苏省计量科学研究院 | A kind of liquid crystal display digit recognition method |
| CN111265166A (en) * | 2020-01-23 | 2020-06-12 | 深圳市大拿科技有限公司 | Control method of intelligent dish washing machine and related product |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101030258A (en) * | 2006-02-28 | 2007-09-05 | 浙江工业大学 | Dynamic character discriminating method of digital instrument based on BP nerve network |
| CN101866415A (en) * | 2009-08-24 | 2010-10-20 | 深圳市海云天科技股份有限公司 | Answer sheet recognition device and method of computer marking system |
| CN103248849A (en) * | 2012-02-09 | 2013-08-14 | 株式会社理光 | Image display apparatus and image display method |
| CN204488644U (en) * | 2015-02-09 | 2015-07-22 | 浙江机电职业技术学院 | Automobile A column ken sight line ancillary system |
| CN105118262A (en) * | 2015-08-25 | 2015-12-02 | 武汉理工大学 | Community-oriented high-efficiency remote meter reading method and system |
| CN106570501A (en) * | 2016-10-26 | 2017-04-19 | 成都君晟科技有限公司 | Automatic identification method for characters on instrument panel |
| CN106909941A (en) * | 2017-02-27 | 2017-06-30 | 广东工业大学 | Multilist character recognition system and method based on machine vision |
| CN106940800A (en) * | 2016-01-05 | 2017-07-11 | 深圳友讯达科技股份有限公司 | Measuring instrument Recognition of Reading method and device |
-
2017
- 2017-11-07 CN CN201711082572.9A patent/CN107832763A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101030258A (en) * | 2006-02-28 | 2007-09-05 | 浙江工业大学 | Dynamic character discriminating method of digital instrument based on BP nerve network |
| CN101866415A (en) * | 2009-08-24 | 2010-10-20 | 深圳市海云天科技股份有限公司 | Answer sheet recognition device and method of computer marking system |
| CN103248849A (en) * | 2012-02-09 | 2013-08-14 | 株式会社理光 | Image display apparatus and image display method |
| CN204488644U (en) * | 2015-02-09 | 2015-07-22 | 浙江机电职业技术学院 | Automobile A column ken sight line ancillary system |
| CN105118262A (en) * | 2015-08-25 | 2015-12-02 | 武汉理工大学 | Community-oriented high-efficiency remote meter reading method and system |
| CN106940800A (en) * | 2016-01-05 | 2017-07-11 | 深圳友讯达科技股份有限公司 | Measuring instrument Recognition of Reading method and device |
| CN106570501A (en) * | 2016-10-26 | 2017-04-19 | 成都君晟科技有限公司 | Automatic identification method for characters on instrument panel |
| CN106909941A (en) * | 2017-02-27 | 2017-06-30 | 广东工业大学 | Multilist character recognition system and method based on machine vision |
Non-Patent Citations (4)
| Title |
|---|
| ROUBAOZI6: "诺瓦LED 显示屏视频处理器 VS1 如何操作", 《豆丁网》 * |
| 李朝等: "纸币序列号定位与分割方法研究", 《计算技术与自动化》 * |
| 王臣等: "基于图像的数字仪表字轮定位分割算法的研究", 《电子测量技术》 * |
| 路嗣恩等: "一种实用的图像字符定位方法", 《计算机科学》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109063614A (en) * | 2018-07-19 | 2018-12-21 | 江苏省计量科学研究院 | A kind of liquid crystal display digit recognition method |
| CN111265166A (en) * | 2020-01-23 | 2020-06-12 | 深圳市大拿科技有限公司 | Control method of intelligent dish washing machine and related product |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US12056883B2 (en) | Method for testing skin texture, method for classifying skin texture and device for testing skin texture | |
| JP6299594B2 (en) | Image processing apparatus, image processing method, program, and image processing system | |
| US7206449B2 (en) | Detecting silhouette edges in images | |
| US7103227B2 (en) | Enhancing low quality images of naturally illuminated scenes | |
| US7218792B2 (en) | Stylized imaging using variable controlled illumination | |
| Li et al. | Single image dehazing using the change of detail prior | |
| US7295720B2 (en) | Non-photorealistic camera | |
| US8031941B2 (en) | Image display apparatus, image display method, and image display program | |
| US20040183812A1 (en) | Reducing texture details in images | |
| Alkoffash et al. | A survey of digital image processing techniques in character recognition | |
| Yeh et al. | Efficient image/video dehazing through haze density analysis based on pixel-based dark channel prior | |
| KR20090084563A (en) | Method and apparatus for generating the depth map of video image | |
| US20160321825A1 (en) | Measuring apparatus, system, and program | |
| US11983797B2 (en) | Image coloring apparatus, image coloring method, image learning apparatus, image learning method, computer program, and image coloring system | |
| CN109598736B (en) | Registration method and device for depth image and color image | |
| CN107832763A (en) | Graphic image processing method and apparatus | |
| CN114565608A (en) | Endoscope Ai image identification method and system | |
| EP2807631B1 (en) | Device and method for detecting a plant against a background | |
| CN112070741B (en) | Rice chalkiness degree detecting system based on image salient region extracting method | |
| CN111836103B (en) | Anti-occlusion processing system based on data analysis | |
| JP2010237976A (en) | Light source information obtaining device, shading detection device, shading removal device, and those methods and programs | |
| CN110896498A (en) | Computer airport scene special effect system | |
| CN114913099B (en) | Method and system for processing video file | |
| CN116485992A (en) | Composite three-dimensional scanning method and device and three-dimensional scanner | |
| CN111353348B (en) | Image processing method, device, acquisition equipment and storage medium |
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 | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20190531 Address after: 200093 No. 100 Shuifeng Road, Yangpu District, Shanghai Applicant after: SHANGHAI PUBLISHING AND PRINTING College Address before: No. 11, Fushun Road, North District, Qingdao, Shandong Applicant before: Qingdao University of Technology |
|
| TA01 | Transfer of patent application right | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180323 |
|
| RJ01 | Rejection of invention patent application after publication |