CN110060311A - The image processing apparatus of retina stimulator with super large compression ratio - Google Patents
The image processing apparatus of retina stimulator with super large compression ratio Download PDFInfo
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- CN110060311A CN110060311A CN201910291332.2A CN201910291332A CN110060311A CN 110060311 A CN110060311 A CN 110060311A CN 201910291332 A CN201910291332 A CN 201910291332A CN 110060311 A CN110060311 A CN 110060311A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
- A61N1/00—Electrotherapy; Circuits therefor
- A61N1/02—Details
- A61N1/04—Electrodes
- A61N1/05—Electrodes for implantation or insertion into the body, e.g. heart electrode
- A61N1/0526—Head electrodes
- A61N1/0543—Retinal electrodes
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
- A61N1/00—Electrotherapy; Circuits therefor
- A61N1/18—Applying electric currents by contact electrodes
- A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
- A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
- A61N1/36046—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation of the eye
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
- A61N1/00—Electrotherapy; Circuits therefor
- A61N1/18—Applying electric currents by contact electrodes
- A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
- A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
- A61N1/3605—Implantable neurostimulators for stimulating central or peripheral nerve system
- A61N1/36057—Implantable neurostimulators for stimulating central or peripheral nerve system adapted for stimulating afferent nerves
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T9/00—Image coding
Abstract
This disclosure relates to a kind of image processing apparatus of the retina stimulator with super large compression ratio comprising: module is obtained, is used to obtain the initial pictures with intended pixel number；Gradation processing module is used to carry out gray processing processing to initial pictures, obtains gray level image；And processes pixel module, its target picture prime number based on intended pixel number and with specified quantity carries out compression processing to gray level image, obtains the target image with target picture prime number, wherein, compression processing includes determining total draught based on intended pixel number and target picture prime number；According to total draught and target picture prime number, compression step number and each step compression ratio are determined, total draught is equal to the product of each step compression ratio；In each step compression processing, the compression window of predetermined size is determined according to pixel number and each step compression ratio, and greyscale transformation is carried out to each pixel in compression window.The disclosure can adapt to the retina stimulator of low resolution.
Description
The application isOn 09 09th, 2018, application No. is201811047459.1, it is entitledView Image processing method, device and the retina stimulator of film stimulatorPatent application divisional application.
Technical field
The disclosure is specifically related to a kind of image processing apparatus of retina stimulator with super large compression ratio.
Background technique
Retinal disease such as RP (retinal pigment degeneration), AMD (with old related macular degeneration) etc. are important
Blinding disease, patient lead to vision decline or blinding because photosensitive access is obstructed.
With the research and development of technology, occur repairing the skill of above-mentioned retinal disease using retina stimulator etc.
Art means.Existing retina stimulator generally comprises photographic device, video process apparatus and the placement of arrangement outside the patient's body
Body is implanted into the eyeball of patient.External photographic device captures image, and obtained image is converted into visual signal, depending on
Frequency processing device is sent to implant after being handled visual signal, implant receive it is processed after visual signal
It is converted to electrical stimulation signal, these electrical stimulation signals stimulate gangliocyte or Beale's ganglion cells on retina to generate excited response
To generate light sensation.
However, the photographic device of retina stimulator initial pictures collected are usually million level pixels, and it is current
Resolution ratio, that is, implant stimulating electrode quantity of retina stimulator is than relatively limited (for example, 60 electrodes), well below first
The pixel quantity of beginning image.In this case, simultaneously to the common image processing method of the initial pictures of photographic device acquisition
It is not applied for the retina stimulator of such low resolution.
Summary of the invention
The disclosure made in view of above-mentioned situation, and its purpose is to provide a kind of low resolution that can adapt to
Image processing method, device and the retina stimulator of retina stimulator.
For this purpose, the first aspect of the disclosure provides a kind of image processing method of retina stimulator, it is that there is regulation
The image processing method of the retina stimulator of the stimulating electrode of quantity, it is characterised in that: include: to obtain that there is intended pixel number
Initial pictures；Gray processing processing is carried out to the initial pictures, obtains gray level image；And based on the intended pixel number and
Target picture prime number with the specified quantity carries out compression processing to the gray level image, and obtaining has the object pixel
Several target images, the compression processing include: to determine total draught based on the intended pixel number and the target picture prime number；
According to the total draught and the target picture prime number, compression step number and each step compression ratio are determined, the total draught is equal to each
Walk the product of compression ratio；In each step compression processing, the compression window of predetermined size is determined according to pixel number and each step compression ratio,
And greyscale transformation is carried out to each pixel in the compression window；It is calculated in the compression window using the compression window sliding
Gray level image each pixel average gray value, generate have the average gray value pixel, and will it is generated respectively
A pixel combines the image for being formed and having determined pixel number in order；And according to the compression step number, repeat above-mentioned each step
Compression processing.
In the disclosure, gray processing and compression processing are carried out to the initial pictures with intended pixel number, in compression processing
In, compression step number and each step compression ratio are determined based on intended pixel number and target picture prime number, to obtain target by multi-step compression
Image.In the compression of each step, greyscale transformation is carried out to each pixel in compression window, and calculating using compression window sliding should
The average gray value of each pixel of the gray level image in window is compressed, generates the pixel with the average gray value, and will
Each pixel generated combines the image for being formed and having determined pixel number in order.Thereby, it is possible to improve initial pictures with
The compression ratio of target image farthest improves the quality of target image, to be suitable for the retina stimulator of low resolution.
In the image processing method involved in the first aspect of the disclosure, the greyscale transformation may include for described
The each pixel compressed in window divides grey level, assigns different weights to the other pixel of different grey-scale.As a result,
The effective information such as barrier etc. in image can effectively be protruded.
In the image processing method involved in the first aspect of the disclosure, optionally, obtain in the compression window
The gray value of each pixel of gray level image, to obtain the pixel average gray value of each pixel；Based on the average ash of the pixel
The gray value of angle value and each pixel of the gray level image in the compression window divides each pixel in the compression window
Grey level.Thereby, it is possible to the grey level of pixel in compression window is determined based on pixel average gray value.
In the image processing method involved in the first aspect of the disclosure, optionally, the pixel average gray
The gray value of value and each pixel of the gray level image in the compression window, enables and is greater than or equal to the pixel average gray value
Pixel be the first grey level, less than second average gray value pixel be the second grey level.Thereby, it is possible to be based on
Each pixel is divided to corresponding grey level by pixel average gray value.
In the image processing method involved in the first aspect of the disclosure, optionally, in the compression window
The gray level image carries out gradient value calculating to the gray level image along preset direction；Gradient based on the preset direction
Value and predetermined gradient divide the grey level of each pixel in the compression window.Thereby, it is possible to determine edge in compression window
The grey level of each pixel of preset direction.
In the image processing method involved in the first aspect of the disclosure, optionally, the gray level image is in institute
The gradient value and predetermined gradient value for stating preset direction, enable the gray level image be greater than or equal in the gradient value of the preset direction
The pixel of the predetermined gradient value is third grey level, enables the gray level image be less than in the gradient value of the preset direction pre-
If the pixel of gradient value is the 4th grey level.Thereby, it is possible to will compress each pixel division in window along preset direction
To corresponding grey level.
The second aspect of the disclosure provides a kind of image processing apparatus of retina stimulator, has specified quantity
The image processing apparatus of the retina stimulator of stimulating electrode characterized by comprising obtain module, being used to obtain has
The initial pictures of intended pixel number；Gradation processing module is used to carry out gray processing processing to the initial pictures, obtains gray scale
Image；And processes pixel module, based on the intended pixel number and with the target picture prime number of the specified quantity, to institute
It states gray level image and carries out compression processing, obtain the target image with the target picture prime number, wherein the compression processing includes
Total draught is determined based on the intended pixel number and the target picture prime number；According to the total draught and the object pixel
Number, determines compression step number and each step compression ratio, and the total draught is equal to the product of each step compression ratio；In each step compression processing
In, the compression window of predetermined size is determined according to pixel number and each step compression ratio, and to each pixel in the compression window
Carry out greyscale transformation；The average ash of each pixel of the gray level image in the compression window is calculated using the compression window sliding
Angle value generates the pixel with the average gray value, and each pixel generated combines formation in order with rule
Determine the image of pixel number；And according to the compression step number, repeat above-mentioned each step compression processing.
In the disclosure, gradation processing module to by obtain module obtain the initial pictures with intended pixel number into
The processing of row gray processing obtains gray level image, and processes pixel module carries out compression processing to gray level image and is based in compression processing
Intended pixel number and target picture prime number determine compression step number and each step compression ratio, to obtain target image by multi-step compression.?
In each step compression, greyscale transformation is carried out to each pixel in compression window, and calculate the compression window using compression window sliding
The average gray value of each pixel of gray level image in mouthful generates the pixel with the average gray value, and will be generated
Each pixel combine in order formed have determined pixel number image.Thereby, it is possible to improve initial pictures and target figure
The compression ratio of picture farthest improves the quality of target image, to be suitable for the retina stimulator of low resolution.
In the image processing apparatus involved in the second aspect of the disclosure, optionally, the processes pixel module includes
It is different to being assigned with the other pixel of different grey-scale for dividing grey level for each pixel in the compression window
Weight greyscale transformation unit.Thereby, it is possible to effectively protrude the effective information such as barrier etc. in image.
In the image processing apparatus involved in the second aspect of the disclosure, optionally, obtain in the compression window
The gray value of each pixel of gray level image, to obtain the pixel average gray value of each pixel；Based on the average ash of the pixel
The gray value of angle value and each pixel of the gray level image in the compression window divides each pixel in the compression window
Grey level.Thereby, it is possible to the grey level of pixel in compression window is determined based on pixel average gray value.
In the image processing apparatus involved in the second aspect of the disclosure, optionally, the pixel average gray
The gray value of value and each pixel of the gray level image in the compression window, enables and is greater than or equal to the pixel average gray value
Pixel be the first grey level, less than second average gray value pixel be the second grey level.Thereby, it is possible to be based on
Each pixel is divided to corresponding grey level by pixel average gray value.
In the image processing apparatus involved in the second aspect of the disclosure, optionally, the greyscale transformation unit is used
In for the gray level image in the compression window, gradient value calculating is carried out to the gray level image along preset direction；
Gradient value and predetermined gradient based on the preset direction divide the grey level of each pixel in the compression window.By
This, can be determined in compression window by greyscale transformation unit along the grey level of each pixel of preset direction.
In the image processing apparatus involved in the second aspect of the disclosure, optionally, the gray level image is in institute
The gradient value and predetermined gradient value for stating preset direction, enable the gray level image be greater than or equal in the gradient value of the preset direction
The pixel of the predetermined gradient value is third grey level, enables the gray level image be less than in the gradient value of the preset direction pre-
If the pixel of gradient value is the 4th grey level.Thereby, it is possible to will compress each pixel division in window along preset direction
To corresponding grey level.
The third aspect of the disclosure provides a kind of retina stimulator comprising: photographic device is used to capture video
Image, and the video image is converted into visual signal；Video process apparatus is connect with the photographic device, and
Including at least image processing apparatus described in any one of claim 7 to 12, the video process apparatus is described for handling
Visual signal is to generate vision compressed signal；And implanted device, it is used to receive the vision compressed signal, and will be described
Vision compressed signal is converted into electrical stimulation signal, to provide the electrical stimulation signal to retina.
According to the disclosure, it is capable of providing a kind of compression ratio that can be improved initial pictures and target image, farthest
Improve the quality of target image, to be suitable for the image processing method of the retina stimulator of the retina stimulator of low resolution
Method, device and retina stimulator.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of retina stimulator involved in the disclosure.
Fig. 2 is the structural schematic diagram of the image processing apparatus of retina stimulator involved in the disclosure.
Fig. 3 is the structural schematic diagram of the image processing apparatus of retina stimulator involved in the disclosure.
Fig. 4 is the flow diagram of the image processing method of retina stimulator involved in the disclosure.
Fig. 5 is the compression processing method process signal in the image processing method of retina stimulator involved in the disclosure
Figure.
Fig. 6 is the grey scale change method flow signal in the image processing method of retina stimulator involved in the disclosure
Figure.
Fig. 7 is the example of the grey level division methods in the image processing method of retina stimulator involved in the disclosure
The flow diagram of son.
Fig. 8 is the change of the grey level division methods in the image processing method of retina stimulator involved in the disclosure
The flow diagram of shape example.
Specific embodiment
Hereinafter, explaining the preferred embodiment of the disclosure in detail with reference to attached drawing.In disclosure, for identical component
Identical symbol is assigned, the repetitive description thereof will be omitted.Scheme in addition, attached drawing is only schematical, the ratio of the mutual size of component
Example or the shape of component etc. can be with actual differences.
In addition, the subhead etc. involved in describing below the disclosure is not intended to limitation content of this disclosure or model
It encloses, is merely possible to the suggesting effect read.Such subhead can neither be interpreted as the content for dividing article, also not
Content under subhead should be limited only in the range of subhead.
Fig. 1 is the structural schematic diagram of retina stimulator involved in the disclosure.The retina stimulator of the disclosure can be with
Cause to blind suitable for retinopathy, but the pathways for vision such as Beale's ganglion cells, gangliocyte retain intact patient.At this
In open, retina stimulator 1 is otherwise referred to as " artificial retina ", " artificial retina ", " retinal prosthesis system ", " people
Make retina system " etc..
In some instances, as shown in Figure 1, retina stimulator 1 may include photographic device 10, video process apparatus 20
With implanted device 30.Implanted device 30 can receive vision compressed signal and view-based access control model compressed signal generates electrical stimulation signal.
Wherein, vision compressed signal can be handled photographic device 10 by video process apparatus 20 and capture video image acquisition.
In some instances, photographic device 10 can be used for capturing video image, and video image is converted into vision
Signal.For example, photographic device 10 can capture the video image of patient's local environment.
In some instances, photographic device 10 can be equipment with camera function, such as video camera, camera etc..
It, can be by the Camera Design of small volume on (such as being embedded into) glasses in order to facilitate use.
In other examples, patient can also be by wearing the light glasses with camera function as photographic device
10 capture video image.Photographic device 10 can also be realized with Google glass etc..In addition, photographic device 10 can be assemblied in
Intelligent glasses, intelligence are worn, on the intelligent wearable device such as Intelligent bracelet.
In some instances, photographic device 10 can be connect with video process apparatus 20.Photographic device 10 and video are handled
Device 20 can be wired connection, be also possible to be wirelessly connected.
In some instances, wired connection can be data line connection, and wireless connection can be bluetooth connection, and WiFi connects
Connect, infrared connection, NFC connection or radio frequency connection etc..
In addition, in some instances, it is external that photographic device 10 and video process apparatus 20 can be only fitted to patient.For example,
Photographic device 10 can be worn on glasses by patient.Patient photographic device 10 can also be worn on such as headwear, hair band or
On the wearable accessories such as brooch.In addition, video process apparatus 20 can be worn on waist by patient, patient can also be by video
Processing unit 20 is worn on the position such as arm, leg.The example of the disclosure is without being limited thereto, for example, patient can also will regard
Frequency processing device 20 is placed in for example portable handbag or knapsack.
In some instances, video process apparatus 20 can be used for handling visual signal to generate vision compressed signal.Tool
For body, video process apparatus 20 can receive the visual signal of the generation of photographic device 10, and video process apparatus 20 can be with
Visual signal is handled to generate vision compressed signal.Video process apparatus 20 can send out vision compressed signal via transmitting antenna
It send to implanted device 30.
In addition, in some instances, video process apparatus 20 may include the image processing apparatus for handling image.
In some instances, implanted device 30 can be used for receiving vision compressed signal, and vision compressed signal is turned
Electrical stimulation signal is changed into, to provide electrical stimulation signal to retina.
In some instances, implanted device 30 may include the stimulating electrode of specified quantity.Stimulating electrode is (sometimes referred to as
" electrode ") electrical stimulation signal can be generated according to visual signal.Specifically, implanted device 30 can receive visual signal, and
And stimulating electrode by received visual signal be converted into the Bipolar pulse current signal as electrical stimulation signal, thus to view
The gangliocyte of film or Beale's ganglion cells provide Bipolar pulse current signal to generate light sensation.In addition, implanted device 30 can plant
Enter in human body such as eyeball.
Fig. 2 is the structural schematic diagram of the image processing apparatus of retina stimulator involved in the disclosure.Involved by the disclosure
And retina stimulator image processing apparatus 200 (image processing apparatus 200 can be referred to as) can be used for retina thorn
Swash functional module of the device 1 as image procossing.Image processing apparatus 200 may include the video processing in retina stimulator 1
Device 20.
In some instances, as shown in Fig. 2, image processing apparatus 200 may include obtaining module 210.Obtain module 210
It can be used for obtaining the initial pictures with intended pixel number.
In some instances, initial pictures can be captured by photographic device 10.It is available by camera shooting dress to obtain module 210
Set the initial pictures of 10 captures.The intended pixel number of initial pictures can be determined by the pixel of the pick-up lens of photographic device 10.
For example, the pixel of pick-up lens can be 300,000,500,000,1,000,000,5,000,000,12,000,000 etc., the intended pixel number of initial pictures
Correspondingly be also possible to the matched pixel of pick-up lens such as 300,000,500,000,1,000,000,5,000,000,12,000,000 etc..
In some instances, initial pictures can be the image without any processing of the shooting of photographic device 10.Usually
Shooting the obtained initial pictures of ambient enviroment by photographic device 10 can be color image.In some instances, color image
It is considered as HSI image.Color image can also regard RGB image as.But the example of the disclosure is without being limited thereto, and photographic device 10 is clapped
The initial pictures taken the photograph can be gray level image.
In some instances, image processing apparatus 200 can also include gradation processing module 220.Gradation processing module 220
It can be used for carrying out gray processing processing to initial pictures, obtain gray level image.Gray level image can be regarded as tri- components of R, G, B
Size identical (i.e. the value of R=G=B) the special color image of one kind.
In some instances, gray processing processing is mainly handled the color information of image.For example, gray processing is handled
It can change the color information of initial pictures, retain the morphological feature of initial pictures (the especially middle object or barrier of image)
Information.
In some instances, gray processing processing method can be component method, i.e., any one in selection tri- components of R, G, B
The value of a component is as gray value.Gray processing processing method can also be maximum value process, i.e., in selection tri- components of R, G, B most
Big value is used as gray value.Gray processing processing method can also be that mean value method, i.e. average value in selection tri- components of R, G, B are made
For gray value.Gray processing processing method can also be weighting method, i.e., carries out tri- components of R, G, B according to different weighting coefficients
Weighted calculation obtains gray value.
In some instances, gray processing processing can reduce the data volume of initial pictures, the convenient subsequentization place to image
Reason facilitates the useful information in subsequent processing in prominent image.
In some instances, image processing apparatus 200 can also include processes pixel module 230.Processes pixel module 230
Can target picture prime number based on intended pixel number and with specified quantity, compression processing is carried out to gray level image, is had
The target image of target picture prime number.
In some instances, compression processing can be multi-step compression processing.Namely processes pixel module 230 can be to gray scale
Image carries out multi-step compression processing, obtains the target image with target picture prime number.Wherein, target picture prime number can have regulation
Quantity.Specified quantity can be determined according to the stimulating electrode quantity of implanted device 30.
In some instances, in multi-step compression processing, total draught can be determined by initial pictures and target image.Tool
For body, processes pixel module 230 can determine total draught based on intended pixel number and target picture prime number.Wherein, total compression
Rate can be the ratio of intended pixel number Yu target picture prime number.Intended pixel number, which can be, obtains the initial graph that module 210 obtains
The pixel number of picture, target picture prime number can be based on the stimulating electrode quantity of implanted device 30.
In some instances, processes pixel module 230 can also determine compression step according to total draught and target picture prime number
Several and each step compression ratio.Compression step number may include step 1, step 2, step 3 ..., m step, wherein m can be greater than or
Natural number equal to 2.Each step compression ratio can be the same or different.In addition, total draught is equal to the product of each step compression ratio.
In some instances, in each step compression processing, processes pixel module 230 can be compressed according to pixel number and each step
Rate determines the compression window of predetermined size.Wherein, pixel number can be the obtained image of previous step compression processing currently walked
Pixel number.For example, processes pixel module 230 can be according to obtained by gradation processing module 220 in first step compression processing
Gray level image pixel number and first step compression ratio, determine predetermined size first compression window.Wherein, gradation processing module
The pixel number of 220 obtained gray level images can be the intended pixel number of initial pictures.Therefore, the regulation of the first compression window
Size can be obtained based on intended pixel number and first step compression ratio.In second step compression processing, processes pixel module 230 can
Pixel number and second step compression ratio with the image obtained according to first step compression processing determine the second compression window of predetermined size
Mouthful.
In some instances, in each step compression processing, processes pixel module 230 can be to each picture in compression window
Element carries out greyscale transformation.Specifically, processes pixel module 230 may include for drawing for each pixel in compression window
Divide grey level, to the greyscale transformation unit (not shown) for assigning different weights with the other pixel of different grey-scale.At this
In the case of kind, compared to the target image that no progress greyscale transformation obtains, the target image obtained by greyscale transformation unit
Can identification improved to a certain extent, thus, it is possible to improve the picture quality of target image.
In some instances, the greyscale transformation unit of processes pixel module 230 can have 1.In each step compression processing,
Greyscale transformation can be carried out to each pixel in corresponding compression window by the greyscale transformation unit respectively.But the disclosure
Example is without being limited thereto, and the greyscale transformation unit of processes pixel module 230 can have multiple, such as has m greyscale transformation unit.?
That is, every step compression processing can correspond to a greyscale transformation unit.Thereby, it is possible to by corresponding greyscale transformation unit to corresponding
Compression window in each pixel carry out greyscale transformation.
In some instances, the gray scale of each pixel of the gray level image in the available compression window of greyscale transformation unit
Value, to obtain the pixel average gray value of each pixel.That is, pixel average gray value can pass through ash to compress in window
Spend the average gray value of each pixel of the obtained gray level image of processing module 220.
In some instances, greyscale transformation unit can be based on the gray level image in pixel average gray value and compression window
Each pixel gray value, divide compression window in each pixel grey level.Thereby, it is possible to pass through greyscale transformation list
Member determines the grey level of pixel in compression window.
In some instances, greyscale transformation unit can be with the gray level image in compared pixels average gray value and compression window
Each pixel gray value.Wherein, enabling the pixel for being greater than or equal to pixel average gray value is the first grey level, less than the
The pixel of two average gray values is the second grey level.Thereby, it is possible to further determine that the grey level of pixel in compression window.
Greyscale transformation unit can assign different weights to the pixel of the first grey level and the second grey level.
In other examples, greyscale transformation unit can be used for for the gray level image in compression window, along default
Direction carries out gradient value calculating to gray level image.Greyscale transformation unit is also based on the gradient value of preset direction and presets ladder
Degree divides the grey level of each pixel in compression window.Thereby, it is possible to be determined in compression window by greyscale transformation unit
The grey level of pixel.
In some instances, greyscale transformation unit can compare gray level image in the gradient value and predetermined gradient of preset direction
Value.Wherein, the pixel for enabling gray level image be greater than or equal to predetermined gradient value in the gradient value of preset direction is third grey level,
The pixel for enabling gray level image be less than predetermined gradient value in the gradient value of preset direction is the 4th grey level.Thereby, it is possible into one
Step determines the grey level of pixel in compression window.Greyscale transformation unit can be to third grey level and the 4th grey level
Pixel assigns different weights.
The example of the disclosure is without being limited thereto, such as greyscale transformation unit can also will compress each of the gray level image in window
The gray value of a pixel by ascending order (or descending from big to small) arrangement from small to large, and in choosing several or mode as default
Gray value.
In some instances, greyscale transformation unit can also enable the gray value of each pixel in compression window be greater than or wait
In the 5th grey level of pixel of default gray value, the gray value of each pixel in compression window is enabled to be less than default gray value
The 6th grey level of pixel.Greyscale transformation unit can assign the pixel of the 5th grey level and the 6th grey level different
Weight.
In addition, greyscale transformation unit can also divide three to each pixel in compression window and with last gray level
Not.Such as greyscale transformation unit can also determine the integrated distribution of the gray value of each pixel of the gray level image in compression window
Section.Wherein, enabling the gray value of each pixel in compression window be less than the distributed area threshold value is the 7th grey level, is enabled
It is the 8th grey level that the gray value of each pixel in compression window, which is located at distributed area threshold value, is enabled each in compression window
It is the 9th grey level that the gray value of a pixel, which is greater than the distributed area threshold value,.Greyscale transformation unit can be to the 7th gray level
Not, the pixel of the 8th grey level and the 9th grey level assigns different weights.In addition, the other pixel of different grey-scale is corresponding
The sum of weight can be 1.
In some instances, in each step compression processing, processes pixel module 230 can use compression window sliding and calculate
The average gray value of each pixel of gray level image in the compression window generates the pixel with the average gray value.Tool
For body, processes pixel module 230, which can use compression window sliding and calculate in the compression window, passes through greyscale transformation unit
The average gray value of each pixel of the gray level image of processing.And processes pixel module 230 can be generated with the average ash
The pixel of angle value.
In some instances, in each step compression processing, processes pixel module 230 can be by each pixel generated
Combination forms the image with determined pixel number in order.Specifically, processes pixel module 230 can will compress window sliding
The each pixel generated in the process combines in order, and forms the image with determined pixel number.For example, being compressed in the first step
In processing, processes pixel module 230 can combine each pixel generated during the first compression window sliding in order,
And form first intermediate image with the first determined pixel number.Wherein, the first determined pixel number can be compressed according to the first step
The pixel number of rate and initial pictures obtains.First intermediate image is that first step compression processing obtains compression image.
In some instances, processes pixel module 230 can repeat above-mentioned each step compression processing according to compression step number, with
Obtain the target image with target picture prime number.Specifically, processes pixel module 230 can give birth to after m walks compression processing
At the target image with target picture prime number.Then, video process apparatus 20 can be based on being generated by image processing apparatus 200
Target image generates and sends vision compressed signal, and implanted device 30 can receive vision compressed signal, and vision is compressed
Signal is converted into electrical stimulation signal, to provide electrical stimulation signal to retina.In this case, can be improved initial pictures with
The compression ratio of target image farthest improves the quality of target image, to be suitable for the retina stimulator of low resolution.
In the disclosure, gradation processing module 220 can be to by obtaining that module 210 obtains with intended pixel number
Initial pictures carry out gray processing processing and obtain gray level image.Processes pixel module 230 can carry out compression processing to gray level image.
In compression processing, compression step number and each step compression ratio can be determined based on intended pixel number and target picture prime number, by more
Step compression obtains target image.In the compression of each step, greyscale transformation can be carried out to each pixel in compression window.It can benefit
The average gray value of each pixel of the gray level image in the compression window is calculated with compression window sliding, is generated average with this
The pixel of gray value.It can combine each pixel generated in order the image for being formed and there is determined pixel number.By
This, can improve patient visual's impression, and the picture quality of optimization aim image.
Here, each unit of above-mentioned mentioned image processing apparatus 200 includes obtaining module 210, gray proces mould
The function of block 220 and processes pixel module 230 can be realized by the image processing apparatus 200 of following Fig. 3.In detailed below
Ground explanation.
Fig. 3 is the structural schematic diagram of the image processing apparatus of retina stimulator involved in the disclosure.In some examples
In, as shown in figure 3, image processing apparatus 200 may include processor 410, memory 420 and communication interface 430.
In some instances, processor 410 can be used for carrying out control pipe to the movement that image processing apparatus 200 executes
Reason.For example, processor 410 can be used for supporting the function of the modules of above-mentioned image processing apparatus 200.In addition, processor
410 can be also used for supporting image processing apparatus 300 execute the step S100 to step S400 in Fig. 4 for being described later on and/or
Other processes for techniques described herein.
In some instances, processor 410 can be central processing unit (Central Processing Unit, CPU),
General processor, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application-Specific Integrated Circuit, ASIC), field programmable gate array (Field
Programmable Gate Array, FPGA) or other programmable logic device, transistor logic, hardware component or
Person's any combination thereof.It may be implemented or execute the various illustrative logic sides in conjunction with described in the disclosure of the disclosure
Frame, module and circuit.Processor 410 is also possible to realize the combination of computing function, such as includes one or more microprocessors
Combination, DSP and the combination of microprocessor etc..
In some instances, communication interface 430 can be used for supporting image processing apparatus 200 with other equipment (for example, taking the photograph
As device 10) communication.
In addition, in some instances, communication interface 430 can be communication interface, transceiver, transmission circuit etc..Wherein, lead to
Letter interface 430 is to be referred to as, and may include one or more interfaces.
In some instances, memory 420 can be used for storing the program code and data of image processing apparatus 200.
In addition, in some instances, image processing apparatus 200 can also include communication bus 440, and communication bus 440 can
To be Peripheral Component Interconnect standard (Peripheral Component Interconnect, abbreviation PCI) bus or extension industry
Normal structure (Extended Industry Standard Architecture, abbreviation EISA) bus etc..Communication bus 440
It is further divided into address bus, data/address bus, control bus etc..Communication bus 440 can have one or more.For convenient for table
Show, only indicated with a line in Fig. 3, it is not intended that an only bus or a type of bus.
Be described above this disclosure relates to retina stimulator image processing apparatus 200.Hereinafter, in conjunction with process
Figure detailed description this disclosure relates to retina stimulator image processing method.
Fig. 4 is the flow diagram of the image processing method of retina stimulator involved in the disclosure.Retina stimulation
The image processing method of device is applied to the image processing apparatus 200 in retina stimulator 1.Retina stimulator 1 has regulation
The stimulating electrode of quantity.In the present embodiment, the image processing method of retina stimulator is sometimes referred to simply as image processing method
Method.
In some instances, as shown in figure 4, image processing method may include obtaining the initial graph with intended pixel number
As (step S10).
In step slo, the intended pixel number of initial pictures can be determined by the pixel of the pick-up lens of photographic device 10.
In addition, initial pictures can be color image, for example, HSI image or RGB image.But the example of the disclosure is without being limited thereto, initially
Image can be gray level image.
In some instances, as shown in figure 4, image processing method can also include carrying out at gray processing to initial pictures
Reason, obtains gray level image (step S20).
In step S20, the size that gray level image can be regarded as tri- components of R, G, B is identical (i.e. the value of R=G=B)
The special color image of one kind.Gray processing processing is mainly handled the color information of image.For example, gray processing is handled
The color information that can change initial pictures remains the form of initial pictures (the especially middle object or barrier of image)
Characteristic information.Thereby, it is possible to reduce the data volume of initial pictures, convenient subsequentization to image handles, facilitates at subsequent place
Useful information when reason in prominent image.
In some instances, gray processing processing method can be using in component method, maximum value process, mean value method or weighting method
One kind.
In some instances, as shown in figure 4, image processing method can also include based on intended pixel number and having regulation
The target picture prime number of quantity carries out compression processing to gray level image, obtains the target image (step with target picture prime number
S30)。
In step s 30, intended pixel number can be the pixel number of the initial pictures of step S10 acquisition, target picture prime number
It can be based on the stimulating electrode quantity of implanted device 30.
In some instances, compression processing can be multi-step compression processing.Fig. 5 is the stimulation of retina involved in the disclosure
Compression processing method flow diagram in the image processing method of device.
In some instances, as shown in figure 5, compression processing may include being determined based on intended pixel number and target picture prime number
Total draught (step S31).Wherein, total draught can be the ratio of intended pixel number Yu target picture prime number.
In some instances, as shown in figure 5, compression processing can also include according to total draught and target picture prime number, really
Level pressure contracting step number and each step compression ratio, total draught are equal to the product (step S32) of each step compression ratio.
In step s 32, compression step number may include step 1, step 2, step 3 ..., m step, wherein m can be
Natural number more than or equal to 2.Each step compression ratio can be the same or different.
In some instances, as shown in figure 5, compression processing can also be included in each step compression processing, according to pixel number
The compression window of predetermined size is determined with each step compression ratio, and greyscale transformation (step is carried out to each pixel in compression window
S33)。
In step S33, pixel number can be the pixel number of the obtained image of previous step compression processing currently walked.Example
Such as, in first step compression processing, pixel number can be the pixel number of the obtained gray level image of gradation processing module 220.?
In second step compression processing, processes pixel module 230 can be according to the pixel number for the image that first step compression processing obtains.
In step S33, greyscale transformation can be carried out to each pixel in compression window.Fig. 6 is involved by the disclosure
Retina stimulator image processing method in grey scale change method flow schematic diagram.As shown in fig. 6, greyscale transformation can be with
Including dividing grey level for each pixel in compression window, different power is assigned to the other pixel of different grey-scale
Weight (step S330).Compared to the target image that no progress greyscale transformation obtains, the target obtained by greyscale transformation unit
Image can identification improved to a certain extent, in this case, target image can be improved by step S330
Picture quality.In addition, the division methods of the grey level respectively walked may be the same or different.
Fig. 7 is the grey level division methods in a kind of image processing method of retina stimulator involved in the disclosure
Flow diagram.Fig. 8 is that the grey level in the image processing method of another kind retina stimulator involved in the disclosure is drawn
Divide method flow schematic diagram.
In some instances, as shown in fig. 7, in step S330 the division of grey level may include obtain compression window in
Gray level image each pixel gray value, to obtain the pixel average gray value (step S3311) of each pixel.Pixel is flat
Equal gray value can be the average gray value of each pixel by the obtained gray level image of step S20 in compression window.
In some instances, as shown in fig. 7, in step S330 the division of grey level can also include average based on pixel
The gray value of each pixel of gray value and the gray level image in compression window divides the gray scale of each pixel in compression window
Rank (step S3312).For example, can be with each pixel of the gray level image in compared pixels average gray value and compression window
Gray value.Wherein, enabling the pixel for being greater than or equal to pixel average gray value is the first grey level, less than the second average gray value
Pixel be the second grey level.Thereby, it is possible to further determine that the grey level of pixel in compression window.
In some instances, as shown in figure 8, the division of grey level can also be including for compression window in step S330
Interior gray level image carries out gradient value calculating (step S3321) to gray level image along preset direction.
In some instances, as shown in figure 8, the division of grey level can also be including being based on preset direction in step S330
Gradient value and predetermined gradient, divide compression window in each pixel grey level (step S3322).Thereby, it is possible to true
Along the grey level of each pixel of preset direction in level pressure contracting window.For example, gray level image can be compared in preset direction
Gradient value and predetermined gradient value.Wherein, gray level image is enabled to be greater than or equal to predetermined gradient value in the gradient value of preset direction
Pixel is third grey level, and the pixel for enabling gray level image be less than predetermined gradient value in the gradient value of preset direction is the 4th gray scale
Rank.Thereby, it is possible to further determine that in compression window along the grey level of each pixel of preset direction.
The example of the disclosure is without being limited thereto, such as the division of grey level can also include that will compress window in step S330
The gray value of each pixel of interior gray level image is arranged by ascending order (or descending from big to small) from small to large, and in selection
Several or mode is as default gray value.Wherein, the gray value of each pixel in compression window is enabled to be greater than or equal to default gray scale
The 5th grey level of pixel of value enables the gray value of each pixel in compression window be less than the 6th ash of pixel of default gray value
Spend rank.
In some instances, three can also be divided to each pixel in compression window and with last ash in step S330
Spend rank.For example, dividing for grey level can also include the gray scale for determining each pixel of the gray level image in compression window
The integrated distribution section of value, and enabling the gray value of each pixel in compression window be less than the distributed area threshold value is the 7th ash
Rank is spent, enabling the gray value of each pixel in compression window be located at distributed area threshold value is the 8th grey level, enables compression
It is the 9th grey level that the gray value of each pixel in window, which is greater than the distributed area threshold value,.
In addition, can not assign corresponding weight to the different grey-scale of above-mentioned division in step S330.Above-mentioned each
Kind divides in gray level method for distinguishing, and can make the sum of corresponding weight of the other pixel of different grey-scale is one.
In some instances, as shown in figure 5, compression processing can also calculate the compression window including the use of compression window sliding
The average gray value of each pixel of gray level image in mouthful generates the pixel with the average gray value, and will be generated
Each pixel combine in order formed have determined pixel number image (step S34).
In step S34, average gray value can be the gray level image by greyscale transform process in compression window
The average gray value of each pixel.Furthermore it is possible to combined each pixel generated during window sliding is compressed in order,
And form the image with determined pixel number.For example, in the first step compression processing window sliding process can be compressed by first
Each pixel of middle generation combines in order, and forms first intermediate image with the first determined pixel number.Wherein, first
Determined pixel number can be obtained according to the pixel number of first step compression ratio and initial pictures.First intermediate image is first step compression
Processing obtains compression image.
In some instances, it as shown in figure 5, compression processing can also include and according to compression step number, repeats above-mentioned each
It walks compression processing (step S35).
In step s 35, after m walks compression processing, the target image with target picture prime number can be generated.
In the disclosure, gray processing and compression processing can be carried out to the initial pictures with intended pixel number.It is compressing
In processing, compression step number and each step compression ratio can be determined based on intended pixel number and target picture prime number, to pass through multi-step compression
Obtain target image.In the compression of each step, greyscale transformation can be carried out to each pixel in compression window.It can use compression
Window sliding calculates the average gray value of each pixel of the gray level image in the compression window, and generating has the average gray value
Pixel.It can combine each pixel generated in order the image for being formed and there is determined pixel number.Thereby, it is possible to
Improve patient visual's effect, and improves the picture quality of target image.
Although being illustrated in conjunction with the accompanying drawings and embodiments to the present invention above, it will be appreciated that above description
The invention is not limited in any way.Those skilled in the art without departing from the true spirit and scope of the present invention may be used
To deform and change to the present invention as needed, these deformations and variation are within the scope of the present invention.
Claims (10)
1. a kind of image processing apparatus of the retina stimulator with super large compression ratio, is the stimulating electrode with specified quantity
Retina stimulator image processing apparatus, which is characterized in that
Include:
Module is obtained, is used to obtain the initial pictures with intended pixel number；
Gradation processing module is used to carry out gray processing processing to the initial pictures, obtains gray level image；And
Processes pixel module, based on the intended pixel number and with the target picture prime number of the specified quantity, to the ash
It spends image and carries out compression processing, obtain the target image with the target picture prime number,
Wherein, the compression processing includes determining total draught based on the intended pixel number and the target picture prime number；According to
The total draught and the target picture prime number, determine compression step number and each step compression ratio, and the total draught is equal to each step pressure
The product of shrinkage；In each step compression processing, the compression window of predetermined size is determined according to pixel number and each step compression ratio, and right
Each pixel in the compression window carries out greyscale transformation.
2. image processing apparatus according to claim 1, which is characterized in that
The processes pixel module includes for dividing grey level for each pixel in the compression window, to not
The greyscale transformation unit of different weights is assigned with the pixel of grey level.
3. image processing apparatus according to claim 2, which is characterized in that
The gray value of each pixel of the gray level image in the compression window is obtained, the average ash of the pixel to obtain each pixel
Angle value；
The gray value of each pixel based on the gray level image in the pixel average gray value and the compression window, divides
The grey level of each pixel in the compression window.
4. image processing apparatus according to claim 3, which is characterized in that
Compare the gray value of each pixel of the pixel average gray value and the gray level image in the compression window, order is greater than
Or equal to the pixel of the pixel average gray value be the first grey level, the pixel less than the pixel average gray value is the
Two grey levels.
5. image processing apparatus according to claim 2, which is characterized in that
The greyscale transformation unit is used for for the gray level image in the compression window, along preset direction to the grayscale image
As carrying out gradient value calculating；
Gradient value and predetermined gradient value based on the preset direction divide the gray level of each pixel in the compression window
Not.
6. image processing apparatus according to claim 5, which is characterized in that
Compare the gray level image in the gradient value and the predetermined gradient value of the preset direction, enables the gray level image in institute
It is third grey level that the gradient value for stating preset direction, which is greater than or equal to the pixel of the predetermined gradient value, enables the gray level image
It is the 4th grey level in the pixel that the gradient value of the preset direction is less than the predetermined gradient value.
7. image processing apparatus according to claim 2, which is characterized in that
The greyscale transformation unit presses the gray value of each pixel of the gray level image in the compression window from small to large
Ascending order arrangement, and several or mode is used as default gray value in selection.
8. image processing apparatus according to claim 2, which is characterized in that
The greyscale transformation unit presses the gray value of each pixel of the gray level image in the compression window from big to small
Descending arrangement, and several or mode is used as default gray value in selection.
9. image processing apparatus according to claim 7 or 8, which is characterized in that
Enabling the gray value of each pixel in the compression window be greater than or equal to the pixel of the default gray value is the 5th ash
Rank is spent, enabling the gray value of each pixel in the compression window be less than the pixel of the default gray value is the 6th gray level
Not.
10. a kind of retina stimulator, which is characterized in that
Include:
Photographic device is used to capture video image, and the video image is converted into visual signal；
Video process apparatus is connect with the photographic device, and is included at least described in any one of claims 1 to 9
Image processing apparatus, the video process apparatus is for handling the visual signal to generate vision compressed signal；And
Implanted device is used to receive the vision compressed signal, and the vision compressed signal is converted into electro photoluminescence letter
Number, to provide the electrical stimulation signal to retina.
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| CN113592948A (en) * | 2019-12-31 | 2021-11-02 | 深圳硅基仿生科技有限公司 | Detection method of bar vision |
| CN112887293A (en) * | 2021-01-21 | 2021-06-01 | 维沃移动通信有限公司 | Streaming media processing method and device and electronic equipment |
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