CN108304069A - Image processing method based on EEG signals and system - Google Patents
Image processing method based on EEG signals and system Download PDFInfo
- Publication number
- CN108304069A CN108304069A CN201810097496.7A CN201810097496A CN108304069A CN 108304069 A CN108304069 A CN 108304069A CN 201810097496 A CN201810097496 A CN 201810097496A CN 108304069 A CN108304069 A CN 108304069A
- Authority
- CN
- China
- Prior art keywords
- matched colors
- region
- eeg signals
- color
- colors
- 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.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
- G06F3/015—Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
- G06F3/04845—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range for image manipulation, e.g. dragging, rotation, expansion or change of colour
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/40—Filling a planar surface by adding surface attributes, e.g. colour or texture
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Human Computer Interaction (AREA)
- Dermatology (AREA)
- General Health & Medical Sciences (AREA)
- Neurology (AREA)
- Neurosurgery (AREA)
- Biomedical Technology (AREA)
- Health & Medical Sciences (AREA)
- Image Processing (AREA)
- Image Analysis (AREA)
Abstract
The present invention provides a kind of image processing method and system based on EEG signals, the method includes：Obtain image to be matched colors；It is at least one behind the region matched colors by being divided into wait the image matched colors, show at least one region to be matched colors；For each region to be matched colors, the corresponding EEG signals in region to be matched colors being determined, determining the corresponding color segment of the EEG signals, according to the corresponding color segment of the EEG signals having determined that, the region to be matched colors to this is matched colors.In the present invention, the foundation of the EEG signals of region to be matched colors and user is contacted, it successfully realizes and is intended to the thought of people to be converted into the technical goal of electronic image, and this method allows users to the mode transmitted by eeg signal, implement Colour selection, color matching for figure on the human-computer interaction interface including computer screen, and then gives expression to the current color preference of user, thought or intention.
Description
Technical field
The present invention relates to technical field of image processing, specifically, the present invention relates to a kind of images based on EEG signals
Processing method and system.
Background technology
Brain electric control technology refers to realizing information input with brain wave control computer, is usually used a kind of by image title
Make the human-computer interaction technology of " brain-computer interface ".The technology is by acquiring the electric signal generated in human thinking activity, then to this
A little signals are analyzed, and determine the intention of user, and be converted into control command and carry out the smart machines such as control computer.Mesh
Before, using brain electric control technology, oneself develops some application systems or product, for example, directly brain wave control technology is utilized to realize
Control to smart machines such as wheelchair, household electrical appliance.
However, more and more people be no longer satisfied with it is conventional using eeg signal progress Mechanical course or operation,
But it wants to by the mode that eeg signal transmits on computer screen or in other man-machine interfaces directly or indirectly
Ground gives expression to intention, thought or intention.
Invention content
It can not express thoughts by eeg signal and the technical issues of intention and defect for of the existing technology, this
Invention provides a kind of image processing method and system based on eeg signal, is believed using brain wave with helping user to realize
Number, thought or the hope of intention are given expression in a manner of drawing.
Technical solution of the present invention is as follows：
The embodiment of the present invention provides a kind of image processing method based on EEG signals according to the first aspect, including：
Obtain image to be matched colors；
It is divided into wait the image matched colors at least one behind the region matched colors by described, display is described at least one to be waited matching colors
Region；
For each region to be matched colors, the corresponding EEG signals in region to be matched colors are determined, determine brain electricity
The corresponding color segment of signal, according to the color segment, the region to be matched colors to this is matched colors.
Preferably, described for each region to be matched colors, it determines the corresponding EEG signals in region to be matched colors, wraps
It includes：
According to the selected operation of user or preassigned selected mode, current region to be matched colors is determined；
The current region to be matched colors is highlighted, and the EEG signals for acquiring the user are to be matched colors as described in
The corresponding current EEG signals of current region.
Preferably, it is described be divided into described wait the image matched colors it is at least one behind the region matched colors, and show described in
Further include before at least one region to be matched colors：
Judge whether to remove the current display color at least one region to be matched colors；It respectively waits matching if so, adjusting
The current display color in color region is to designated color.
Preferably, described to determine the corresponding color segment of the EEG signals, including：
In correspondence of the multiple EEG signals obtained from advance training with color segment, determine described when forebrain electricity
The corresponding color segment of signal, as current color segment.
Preferably, described to determine the corresponding color segment of the EEG signals, further include：
From the strength grade of multiple EEG signals and the brightness degree correspondence of color segment that advance training obtains,
The corresponding brightness degree of current intensity level for determining the current EEG signals, as the current of the current color segment
Brightness degree.
Preferably, the region to be matched colors to this according to the color segment is matched colors, including：
According to the current color segment, the region to be matched colors to this is filled.
Preferably, a kind of image processing method based on EEG signals that the embodiment of the present invention is provided according to the first aspect
Method further includes：Show multiple recommendation color matching information for characterizing different artist's schools；
The correspondence for recommending color matching information based on multiple EEG signals artist's school different from characterization that advance training obtains
In relationship, artist's school corresponding to the current EEG signals is determined, as current selected artist's school.
Further, the color segment includes following at least one forms of expression：Fill coloured assignment graph, tool
Coloured specified lines.
Preferably, described that the image to be matched colors is divided at least one region to be matched colors, it specifically includes：
Determine the edge point set of multiple objects in the image to be matched colors；
The profile of each object is extracted from the edge point set of the multiple object；
Region shared by each object is carried out according to the profile of each object to separate processing, is obtained described at least one to be matched colors
Region.
Based on same inventive concept, the embodiment of the present invention provides a kind of figure based on EEG signals according to the second aspect
As processing system, including：
Brain wave collector is covered in user's head surface；
Display device；
Signal processing circuit is electrically connected with the brain wave collector and display device respectively；
Memory is electrically connected with the signal processing circuit；
At least one program is stored in the memory, is configured as being executed by the signal processing circuit, for real
Existing following step：
Obtain image to be matched colors；
It is divided into wait the image matched colors at least one behind the region matched colors by described, institute is shown in the display device
State at least one region to be matched colors；
For each region to be matched colors, the region pair to be matched colors that the brain wave collector is acquired is determined
The EEG signals answered determine the corresponding color segment of the EEG signals, according to the color segment region to be matched colors to this
It matches colors.
In the embodiment of the present invention, display device by human-computer interaction interface show at least one region to be matched colors,
Reaction is will produce after a certain color segment of user's current fixation, generates corresponding EEG signals.For each area to be matched colors
The corresponding EEG signals in region to be matched colors are determined in domain, the corresponding color segment of the EEG signals are determined, to establish
Correspondence between color segment and region to be matched colors determines being intended that treat using corresponding color segment and matching for user
The region of color is filled, and then is realized and treated the technical purpose that the region of color matching is matched colors based on EEG signals, to
User can be helped to realize by eeg signal, give expression to thought or the hope of intention in the way of drawing.
Another angle, due to the embodiment of the present invention can by brain-machine interaction express user drawing in terms of hobby, because
This is also used as a kind of means of medical consultations, that is, is used to judge that patient sinks into comatose state and is in certain body
" lock-out state ", this diagnosis and treatment method be suitable for feeling the body of oneself can not move but the patient population still regained consciousness of thinking
Body.
The additional aspect of the present invention and advantage will be set forth in part in the description, these will become from the following description
Obviously, or practice through the invention is recognized.
Description of the drawings
Above-mentioned and/or additional aspect and advantage of the invention will become from the following description of the accompanying drawings of embodiments
Obviously and it is readily appreciated that, wherein：
Fig. 1 is the main flow schematic diagram of the image processing method based on EEG signals of the embodiment of the present invention.
Fig. 2 is the main flow schematic diagram of the marginal point of the detection process object of the embodiment of the present invention.
Fig. 3 is the main flow schematic diagram in the selected region to be matched colors of the embodiment of the present invention.
Fig. 4 is the basis color matching element exemplary plot involved in the brain electricity match color procedure of the embodiment of the present invention.
Fig. 5 is the flow diagram that color matching adjusting is realized based on EEG signals intensity of the embodiment of the present invention.
Fig. 6 is the operating process schematic diagram that artist's school based on recommendation of the embodiment of the present invention is matched colors.
Specific implementation mode
In order to solve, it is desirable to by eeg signal, thought, intention, hobby etc. are given expression on human-computer interaction interface
Technical problem, the present inventor provide image processing method and system based on EEG signals, and the work of this method is former
Reason is the different peak values of the eeg signal by sensing user, with this be intended to expression thought or intention by computerized color matching or
It is shown on the human-computer interaction interface of the mode of brain electricity drawing in front of the user.At the image based on EEG signals of the present invention
Reason method, including：
Obtain image to be matched colors；At least one behind the region matched colors by being divided into wait the image matched colors, display is at least
One region to be matched colors；For each region to be matched colors, the corresponding EEG signals in region to be matched colors are determined, determine
Go out the corresponding color segment of the EEG signals, the region to be matched colors to this is matched colors according to the color segment.
The above method provided by the invention contacts the foundation of the EEG signals of region to be matched colors and user, successfully realizes
The thought of people is intended to be converted into the technical goal of electronic image, and this method provides complete set, the color matching of specific brain electricity
Operating process so that the mode that user can transmit by eeg signal, in the human-computer interaction interface including computer screen
It is upper to implement Colour selection, color matching for figure, and then give expression to the current color preference of user, thought or intention.
Detailed description of the present invention embodiment below in conjunction with the accompanying drawings, examples of the embodiments are shown in the accompanying drawings, wherein
Same or similar label indicates same or similar element or element with the same or similar functions from beginning to end.Lead to below
It crosses the embodiment being described with reference to the drawings to be exemplary, is only used for explaining the present invention, and be not construed as limiting the claims.
Fig. 1 is the main flow schematic diagram of the image processing method based on EEG signals of the embodiment of the present invention.Such as Fig. 1 institutes
Show, this method includes mainly following three steps：
S101 obtains image to be matched colors.
S102 will be divided at least one behind the region matched colors, at least one area to be matched colors of display wait the image matched colors
Domain.
Specifically, the detailed process that image to be matched colors is divided at least one region to be matched colors is as follows：
Determine the edge point set of multiple objects in image to be matched colors.Object herein include target object and/
Or background.
The set of marginal point constitutes the edge of image.Edge refers to that image local changes most significant part, edge master
It is present in target and target, between target and background.Edge embody be image local feature discontinuity, such as gray scale
Mutation, the mutation of texture structure, the mutation etc. of color.Although the marginal point Producing reason for constituting image border is different,
These marginal points belong to that the gray scale on figure is discontinuous or gray scale point jumpy.
The specific method for detecting the marginal point of object is subsequently being discussed in detail, and does not repeat herein.
Preferably, after determining the edge that the edge point set by multiple objects is constituted, from the marginal point of multiple objects
The profile of each object is extracted in set.Wherein, there are many modes of contours extract, one kind is temporarily enumerated here and is explained：First
By smoothing processing to filter out the noise in image, be then based on differentiate rule to the marginal point after noise reduction one by one into
Either the zero passage for acquiring maximum of gradients or second dervative is chosen in second-order differential operation to row first differential from operation result
Point, finally rule of thumb or the profile for needing to choose threshold value appropriate and extracting each object of practical operation.
Specifically, region shared by each object is carried out according to the profile of each object separating processing, obtains at least one waiting matching
The region of color.
Fig. 3 is the main flow schematic diagram in the selected region to be matched colors of the embodiment of the present invention.As shown in figure 3, from waiting matching
The profile of each object is extracted in the edge point set of multiple objects of the image of color.After obtaining the profile of object, by each object
Profile carry out separating processing, by the differently contoured occupied band of position labeled as 1 to N number of region to be matched colors.For example, will
Selected zone marker to be matched colors is region M (i.e. m-th region to be matched colors, M is more than 1, and M is less than N), computer system
Default zone M is region to be matched colors.
Preferably, it will be divided into wait the image matched colors at least one behind the region matched colors, and show and at least one wait matching
Further include before the region of color：Judge whether to remove the current display color at least one region to be matched colors；If so, adjusting
Respectively the current display color in region to be matched colors is to designated color.
Specifically, before needing to carry out color matching processing to the region to be matched colors that some has been selected, it is first determined whether
Color inside region to be matched colors is removed, or is directly covered.If the determination result is YES, then region to be matched colors is removed
Original color matching." internal point of region M is all adjusted to white " enumerated in one of mode of original color matching i.e. Fig. 3 is removed, or
The corresponding color parameter of point (R, G, B) in the M of region is adjusted to (0,0,0) by person.If judging result is no, color matching is not changed
Region original color matching.
It should be noted that this operation of selected region to be matched colors both can by include eye control, and/or touch-control and/
Or the physical control mode of mouse control, and/or Keyboard Control is realized, and can be according to including sequential selection and/or random choosing
The software-controlled manner for the procedure auto-control selected is realized.
After determining region to be matched colors, using brain-computer interface, scheme of colour selection is carried out in conjunction with EEG signals.
S103 determines the corresponding EEG signals in region to be matched colors, determines this for each region to be matched colors
The corresponding color segment of EEG signals, according to color segment, the region to be matched colors to this is matched colors.
Preferably for each region to be matched colors, the corresponding EEG signals in region to be matched colors are determined, including：
According to the selected operation of user or preassigned selected mode, current region to be matched colors is determined；It highlights and has determined that
The current region to be matched colors gone out, and the EEG signals for acquiring user are corresponding when forebrain telecommunications as current region to be matched colors
Number.
Preferably, the embodiment of the present invention provides a variety of methods for determining the corresponding color segment of EEG signals.It is a kind of true
The method for making the corresponding color segment of EEG signals, including：The multiple EEG signals and color segment obtained from advance training
Correspondence in, the corresponding color segment of current EEG signals is determined, as current color segment.
Preferably, the color segment of the embodiment of the present invention includes following at least one forms of expression：Fill coloured finger
Determine figure, the coloured specified lines of tool.
Preferably, it determines the corresponding color segment of EEG signals, further includes：
From the strength grade of multiple EEG signals and the brightness degree correspondence of color segment that advance training obtains,
Determine the corresponding brightness degree of the current intensity level of current EEG signals, the present intensity etc. as current color segment
Grade.
Fig. 4 is the basis color matching element exemplary plot involved in the brain electricity match color procedure of the embodiment of the present invention.With reference to attached
Fig. 4 introduces the incidence relation between EEG signals strength grade and colour brightness grade.
RGB is by red (R), green (G), blue (B) three face as a kind of color standard that color mode is industrial quarters
The variation of chrominance channel and their mutual superpositions obtain miscellaneous color, and RGB is to represent red, green, blue
The color in three channels, this standard include almost all colours that human eyesight can perceive, and are at present with most wide
One of color system.
The brain electric strength of the embodiment of the present invention can be divided into the multiple grades from 0-100, the adjustable range of the color of RGB
In the numberical range of 0-255, according to the actual demand or hardware condition of color matching by the adjusting number of the intensity of EEG signals and RBG
Value pre-sets proportional correspondence so that is realized between the strength grade and the brightness degree of color segment of EEG signals
Association.It corresponds to tri- kinds of colors of RGB to be modified according to the intensity of EEG signals respectively, realizes that the color matching of RGB is adjusted.Work as determination
After going out the brightness degree of the color corresponding to current EEG signals, the brightness degree as current color saves.Finally
The brightness degree of the selected color of user is shown in a manner of with colour disk on the screen.
Below in conjunction with the accompanying drawings 5 introduce the embodiment of the present invention based on EEG signals intensity realize color matching adjust main stream
Journey.Specifically, after the interactive interface for initially entering selected color matching, segment is displayed in red on human-computer interaction interface, i.e., with red
Color as the channel currently shown.When user watches the red segment on human-computer interaction interface attentively, at the same time, including
There is the brain wave collector of the computer system electrical connection of signal processing circuit to sense the Strength Changes of user's EEG signals.
Since training in advance has obtained the correspondence of the strength grade of EEG signals and the brightness degree of color segment, meter
Calculation machine system is from the strength grade of multiple EEG signals and the brightness degree correspondence of color segment that advance training obtains
The brightness degree that can quickly determine the corresponding color of the current intensity level of current EEG signals, identifies that user works as forebrain
The intention of electric signal modification color to be expressed, to judge that it is simultaneously and dynamically right that current EEG signals judge whether to need
The brightness degree that red segment should be changed jumps to man-machine interface and is displayed in red segment when judging result is to be, until judging
As a result it is no, illustrates that the color currently shown is customer satisfaction system effect, changed without continuing, carry out next color segment
The modification of brightness degree.
Preferably, another method for determining the corresponding color segment of EEG signals includes：
Show multiple recommendation color matching information for characterizing different artist's schools；
The correspondence for recommending color matching information based on multiple EEG signals artist's school different from characterization that advance training obtains
In relationship, the recommendation color matching information of associated artist's school corresponding to current EEG signals is determined, as current selected artist
The recommendation color matching information of school.
Fig. 6 is the operating process schematic diagram that artist's school based on recommendation of the embodiment of the present invention is matched colors.
When determining after the current region matched colors, brain-computer interface is utilized to carry out scheme of colour selection, it is preferable that according to prestoring
The personal data data of user in the database of computer system, the paintings type liked of analysis user, or into sector-style
Lattice are recommended.The relatively straightforward way of recommendation is to show multiple to characterize different artist's schools on human-computer interaction interface (i.e. screen)
Recommend color matching information.The EEG signals for being then based on vision induction are detected, i.e., by multiple EEG signals and characterization not cocurrent flow
The recommendation color matching corresponding association of information of group.When rolling highlights the information of various artist's schools on screen, user is connecing
The EEG signals of brain wave collector different wave can be fed back to when receiving these information.Include the calculating of signal processing circuit
Corresponding the closing of the recommendation color matching information for multiple EEG signals artist's school different from characterization that machine system is obtained based on advance training
In system, determine that detection obtains the recommendation color matching information of associated artist's school corresponding to current EEG signals, as current choosing
The recommendation color matching information of fixed artist's school.Judge whether selected artist's school, if so, on the screen in a manner of with colour disk
Show the recommendation color matching information of the selected artist's school of user；Otherwise it jumps to roll on human-computer interaction interface and highlight
The step of recommendation color matching information of various artist's schools.
After interface enters drafting color matching interface, color matching is carried out according to selection area and is drawn a picture.
Specifically, it is matched colors according to the color segment region to be matched colors to this, including：
According to current color segment associated with the strength grade of EEG signals to the region to be matched colors selected into
Row filling.
Preferably, after interface enters drafting color matching interface, color matching is carried out according to selection area and is drawn a picture.For example, color matching
For lines, the segment form of fusion or other forms.
Specifically, when brain wave collector detects EEG signals, by EEG signals and lines, fusion or other shapes
The segment of formula is matched, and is linked by Database, when EEG signals are matched colors with the preset corresponding response in database
When lines match, corresponding lines is called to carry out drawing filling.
Also, in the multiple training that EEG signals match with corresponding lines, computer system can be subsequently formed
It is identified with the bargraphs library of corresponding brain electricity difference level of interest, draws a picture for the later brain electricity intelligence of user and material is provided.
The method that the marginal point that object is detected in S102 of the embodiment of the present invention is described below, the flow diagram of this method is such as
Shown in Fig. 2, include the following steps：
S201 reduces the noise of image to be matched colors.
Specifically, preset filtering method is selected to filter out the noise in image to be matched colors.
S202 determines the gradient magnitude of the specified parameter of each pixel in image to be matched colors.
The present inventor is it is considered that needs search out the side of each object (target or background) in image to be matched colors
Edge, edge refer to that image local changes most significant part, and edge is primarily present between target and target and target and background
Between, it is the discontinuity of image local feature, such as the mutation of gray scale, the mutation of texture structure, the mutation of color, as possible object
Marginal point Producing reason it is different, but these marginal points are all that gray scale is discontinuous or gray scale point jumpy on image.
Preferably, determine the gray scale of each pixel in image to be matched colors, texture structure or color gradient magnitude.
S203 determines that gradient magnitude meets multiple pixels of preset range, as multiple in image to be matched colors
The candidate edge point set of object.
The pixel for specifying the gradient magnitude of parameter larger is probably the marginal point of some target.Accordingly, it is determined that
Go out multiple pixels that gradient magnitude meets preset range.
Preferably, carrying out enhancing processing to the gradient amplitude of the specified parameter of pixel.For example, after by adjusting denoising
The meter of each pixel and the shade of gray amplitude of its neighborhood (the specified number pixel region adjacent with the pixel)
Calculation method highlights the pixel that neighborhood shade of gray amplitude has significant change.
Preferably, by the gradient amplitude of each pixel (or enhancing treated gradient amplitude), with the gradient amplitude
Preset range (such as gradient amplitude threshold value) be compared, determine that gradient magnitude meets multiple pixels of preset range,
Candidate edge point set as multiple objects in image to be matched colors.
Here the benchmark principle of the setting of threshold range is can to filter out by the preset threshold range and face domain ash
Spend the pixel having significant change.
S204 determines the marginal point of each object from candidate edge point set.
From candidate edge point set, isolated point is removed, determines the edge point set of multiple objects or each object
Marginal point.
Based on same inventive concept, the embodiment of the present invention also provides a kind of image processing system based on EEG signals, packet
It includes：
Brain wave collector is covered in user's head surface；
Display device；
Signal processing circuit is electrically connected with the brain wave collector and display device respectively；
Memory is electrically connected with signal processing circuit；
At least one program, is stored in memory, is configured as being executed by signal processing circuit, for realizing following steps
Suddenly：
Obtain image to be matched colors；
This is divided into wait the image matched colors at least one behind the region matched colors, shown in a display device at least one
Region to be matched colors；
For each region to be matched colors, determine that the region to be matched colors that brain wave collector is acquired is corresponding
EEG signals determine the corresponding color segment of the EEG signals, and according to the color segment, the region to be matched colors to this is matched
Color.
Those skilled in the art of the present technique are appreciated that unless expressly stated, singulative " one " used herein, " one
It is a ", " described " and "the" may also comprise plural form.It is to be further understood that is used in the specification of the present invention arranges
It refers to there are the feature, integer, step, operation, element and/or component, but it is not excluded that presence or addition to take leave " comprising "
At least one other feature, integer, step, operation, element, component and/or their group.It should be understood that when we claim element
It is " connected " or when " coupled " to another element, it can be directly connected or coupled to other elements, or there may also be in
Between element.In addition, " connection " used herein or " coupling " may include being wirelessly connected or wirelessly coupling.Wording used herein
"and/or" includes that the whole of one or more associated list items or any cell are combined with whole.
Those skilled in the art of the present technique are appreciated that unless otherwise defined, all terms used herein (including technology art
Language and scientific terminology), there is meaning identical with the general understanding of the those of ordinary skill in fields of the present invention.Should also
Understand, those terms such as defined in the general dictionary, it should be understood that have in the context of the prior art
The consistent meaning of meaning, and unless by specific definitions as here, the meaning of idealization or too formal otherwise will not be used
To explain.
The above is only some embodiments of the present invention, it is noted that for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (10)
1. a kind of image processing method based on EEG signals, which is characterized in that including：
Obtain image to be matched colors；
At least one behind the region matched colors, display at least one area to be matched colors is divided into wait the image matched colors by described
Domain；
For each region to be matched colors, determines the corresponding EEG signals in region to be matched colors, determine the EEG signals
Corresponding color segment, according to the color segment, the region to be matched colors to this is matched colors.
2. according to the method described in claim 1, it is characterized in that, described for each region to be matched colors, determine that this is waited for
The corresponding EEG signals in region of color matching, including：
According to the selected operation of user or preassigned selected mode, current region to be matched colors is determined；
The current region to be matched colors is highlighted, and it is to be matched colors current as described in acquire the EEG signals of the user
The corresponding current EEG signals in region.
3. according to the method described in claim 1, it is characterized in that, it is described the image to be matched colors is divided into it is at least one
Behind the region matched colors, and further include before showing at least one region to be matched colors：
Judge whether to remove the current display color at least one region to be matched colors；If so, adjusting respectively area to be matched colors
The current display color in domain is to designated color.
4. according to the method described in claim 2, it is characterized in that, described determine the corresponding color segment of the EEG signals,
Including：
In correspondence of the multiple EEG signals obtained from advance training with color segment, the current EEG signals are determined
Corresponding color segment, as current color segment.
5. according to the method described in claim 4, it is characterized in that, further including：
The strength grade of multiple EEG signals obtained from advance training is determined with the brightness degree correspondence of color segment
Go out the corresponding brightness degree of current intensity level of the current EEG signals, the present intensity as the current color segment
Grade.
6. according to the method described in claim 4, it is characterized in that, the region to be matched colors to this according to the color segment
It matches colors, including：
According to the current color segment, the region to be matched colors to this is filled.
7. according to the method described in claim 2, it is characterized in that, further including：
Show multiple recommendation color matching information for characterizing different artist's schools；
The correspondence for recommending color matching information based on multiple EEG signals artist's school different from characterization that advance training obtains
In, artist's school corresponding to the current EEG signals is determined, as current selected artist's school.
8. according to the method described in claim 1, it is characterized in that, the color segment includes following at least one performance shapes
Formula：Fill coloured assignment graph, the coloured specified lines of tool.
9. according to the method described in claim 1, it is characterized in that, it is described the image to be matched colors is divided into it is at least one
Region to be matched colors, specifically includes：
Determine the edge point set of multiple objects in the image to be matched colors；
The profile of each object is extracted from the edge point set of the multiple object；
Region shared by each object is carried out according to the profile of each object to separate processing, obtains at least one area to be matched colors
Domain.
10. a kind of image processing system based on EEG signals, which is characterized in that including：
Brain wave collector is covered in user's head surface；
Display device；
Signal processing circuit is electrically connected with the brain wave collector and display device respectively；
Memory is electrically connected with the signal processing circuit；
At least one program is stored in the memory, is configured as being executed by the signal processing circuit, for realizing under
State step：
Obtain image to be matched colors；
By it is described be divided into wait the image matched colors it is at least one behind the region matched colors, in the display device described in display extremely
A few region to be matched colors；
For each region to be matched colors, determine that the region to be matched colors that the brain wave collector is acquired is corresponding
EEG signals determine the corresponding color segment of the EEG signals, are carried out to the region to be matched colors according to the color segment
Color matching.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810097496.7A CN108304069B (en) | 2018-01-31 | 2018-01-31 | Image processing method and system based on EEG signals |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810097496.7A CN108304069B (en) | 2018-01-31 | 2018-01-31 | Image processing method and system based on EEG signals |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108304069A true CN108304069A (en) | 2018-07-20 |
| CN108304069B CN108304069B (en) | 2019-10-18 |
Family
ID=62850923
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810097496.7A Active CN108304069B (en) | 2018-01-31 | 2018-01-31 | Image processing method and system based on EEG signals |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108304069B (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109584326A (en) * | 2018-11-07 | 2019-04-05 | 厦门欢乐逛科技股份有限公司 | Poster Automatic color matching method, medium, computer equipment and device |
| WO2021042607A1 (en) * | 2019-09-03 | 2021-03-11 | 广州视源电子科技股份有限公司 | Image color-filling method, apparatus and device, and storage medium |
| CN113486206A (en) * | 2021-06-25 | 2021-10-08 | 珠海格力电器股份有限公司 | Automatic color matching method and equipment for model selection |
| CN116860145A (en) * | 2023-08-31 | 2023-10-10 | 小舟科技有限公司 | AIGC personalized image generation method and related device based on user BCI information |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1360876A (en) * | 2000-12-26 | 2002-07-31 | 陈言 | Color vision detecting and correcting method and equipment and its application |
| CN101201696A (en) * | 2007-11-29 | 2008-06-18 | 浙江大学 | Chinese input BCI system based on P300 brain electric potential |
| KR20110067324A (en) * | 2009-12-14 | 2011-06-22 | 정재연 | The method which does to agree blinking and brain wave sound of the lighting from lcd and led indication windows |
| CN102637236A (en) * | 2012-05-03 | 2012-08-15 | 杭州慕锐网络技术有限公司 | Intelligent color matching method for textile patterns |
| CN104821000A (en) * | 2015-05-22 | 2015-08-05 | 京东方科技集团股份有限公司 | Color identification system, color identification method and display device |
| CN105068663A (en) * | 2015-09-18 | 2015-11-18 | 中国石油大学(华东) | Object selecting method and device based on electroencephalogram signal |
| CN106155323A (en) * | 2016-07-05 | 2016-11-23 | 西安交通大学 | Based on etc. brightness and color strengthening stable state of motion Evoked ptential brain-machine interface method |
| US20170135626A1 (en) * | 2015-11-16 | 2017-05-18 | Half Mile Technologies, Inc. | Apparatus and method for detecting bruxism |
| CN107247893A (en) * | 2017-05-10 | 2017-10-13 | 广东工业大学 | A kind of electric personal identification method of the brain based on genetic algorithm dimensionality reduction |
-
2018
- 2018-01-31 CN CN201810097496.7A patent/CN108304069B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1360876A (en) * | 2000-12-26 | 2002-07-31 | 陈言 | Color vision detecting and correcting method and equipment and its application |
| CN101201696A (en) * | 2007-11-29 | 2008-06-18 | 浙江大学 | Chinese input BCI system based on P300 brain electric potential |
| KR20110067324A (en) * | 2009-12-14 | 2011-06-22 | 정재연 | The method which does to agree blinking and brain wave sound of the lighting from lcd and led indication windows |
| CN102637236A (en) * | 2012-05-03 | 2012-08-15 | 杭州慕锐网络技术有限公司 | Intelligent color matching method for textile patterns |
| CN104821000A (en) * | 2015-05-22 | 2015-08-05 | 京东方科技集团股份有限公司 | Color identification system, color identification method and display device |
| CN105068663A (en) * | 2015-09-18 | 2015-11-18 | 中国石油大学(华东) | Object selecting method and device based on electroencephalogram signal |
| US20170135626A1 (en) * | 2015-11-16 | 2017-05-18 | Half Mile Technologies, Inc. | Apparatus and method for detecting bruxism |
| CN106155323A (en) * | 2016-07-05 | 2016-11-23 | 西安交通大学 | Based on etc. brightness and color strengthening stable state of motion Evoked ptential brain-machine interface method |
| CN107247893A (en) * | 2017-05-10 | 2017-10-13 | 广东工业大学 | A kind of electric personal identification method of the brain based on genetic algorithm dimensionality reduction |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109584326A (en) * | 2018-11-07 | 2019-04-05 | 厦门欢乐逛科技股份有限公司 | Poster Automatic color matching method, medium, computer equipment and device |
| WO2021042607A1 (en) * | 2019-09-03 | 2021-03-11 | 广州视源电子科技股份有限公司 | Image color-filling method, apparatus and device, and storage medium |
| CN113486206A (en) * | 2021-06-25 | 2021-10-08 | 珠海格力电器股份有限公司 | Automatic color matching method and equipment for model selection |
| CN113486206B (en) * | 2021-06-25 | 2024-04-30 | 珠海格力电器股份有限公司 | Automatic color matching method and equipment for selection |
| CN116860145A (en) * | 2023-08-31 | 2023-10-10 | 小舟科技有限公司 | AIGC personalized image generation method and related device based on user BCI information |
| CN116860145B (en) * | 2023-08-31 | 2023-11-24 | 小舟科技有限公司 | AIGC personalized image generation method and related device based on user BCI information |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108304069B (en) | 2019-10-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108304069B (en) | Image processing method and system based on EEG signals | |
| US10028569B2 (en) | Makeup application assistance device, makeup application assistance system, and makeup application assistance method | |
| US9681736B2 (en) | Makeup application assistance device, makeup application assistance method, and makeup application assistance program | |
| Freeman et al. | Influences of culture and visual context on real-time social categorization | |
| CN108520241B (en) | Fingerprint acquisition method and device based on optical fingerprint technology and user terminal | |
| CN1753474B (en) | Controller for electronic appliance and method thereof | |
| US20190369727A1 (en) | Human-machine interaction method based on visual stimulation | |
| Otazu et al. | Toward a unified chromatic induction model | |
| US20170079599A1 (en) | Moisture feeling evaluation device, moisture feeling evaluation method, and moisture feeling evaluation program | |
| KR101774412B1 (en) | Make-up Color Diagnosis Method Customized by Skin color and Make-up Color Diagnosis Device Customized by Skin color | |
| CN105451094B (en) | Subtitle color adjustment method and device | |
| CN105302431B (en) | Image processing equipment, image processing method and image processing system | |
| KR20150098130A (en) | Apparatus and Method for Recommending Cosmetic based on User Skin Information | |
| Soylu et al. | ERP differences in processing canonical and noncanonical finger-numeral configurations | |
| Müller et al. | Robotic wheelchair commanded by people with disabilities using low/high-frequency SSVEP-based BCI | |
| EP3624432B1 (en) | Color processing program, color processing method, chromatic sensation examination system, output system, color vision correction image processing system, and color vision simulation image processing system | |
| US20160345887A1 (en) | Moisture feeling evaluation device, moisture feeling evaluation method, and moisture feeling evaluation program | |
| Sanz et al. | Customising a qualitative colour description for adaptability and usability | |
| US8792743B2 (en) | Image processing apparatus and program | |
| McDonald et al. | Orientation-selective chromatic mechanisms in human visual cortex | |
| CN107992256B (en) | Window control method, device and system | |
| US20180116582A1 (en) | Elasticity evaluation apparatus, elasticity evaluation method, and elasticity evaluation program | |
| CN105516711B (en) | Image chromaticity measurement method based on visual perception | |
| CN112515687A (en) | Method for measuring mental disease index and related product | |
| Tai et al. | A study of color description and cognition |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |