CN106033263A - Image processing method used to detect noise and navigation device thereof - Google Patents
Image processing method used to detect noise and navigation device thereof Download PDFInfo
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- CN106033263A CN106033263A CN201510116721.3A CN201510116721A CN106033263A CN 106033263 A CN106033263 A CN 106033263A CN 201510116721 A CN201510116721 A CN 201510116721A CN 106033263 A CN106033263 A CN 106033263A
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Abstract
The invention discloses an image processing method used to detect noise. The method comprises: adjusting an illuminating unit to obtain an overexposure image, comparing each pixel of the overexposure image with at least a threshold value, when the luminance of one pixel of the overexposure image is lower than the threshold value, marking the pixel as a noise point, and eliminating the noise point, and executing displacement detection operation. The invention also discloses a navigation device with a noise detecting function.
Description
Technical field
The present invention is to provide a kind of image processing method and guider thereof, and espespecially one can be used to detect and makes an uproar
The image processing method of sound and there is the guider of noise detecting function.
Background technology
Traditional optical mouse is to arrange optical transmitting set, optical receiver and arithmetic processor in housing.Light
When mouse moves, the light that optical transmitting set sends reflects via desktop or mouse pad and is received by optical receiver,
Arithmetic processor analysis reflection light interpretation can go out the surface texture featur of desktop or mouse pad, and utilize should
A little surface texture featur change in location in the visual field of optical receiver remove the displacement of calculating optical mouse.So
And, use or under sordid operating environment long-time, optical transmitting set and/or the interior lights of optical receiver
Learning upper possible scratch or the dust fall of producing of assembly (such as lens), meeting forming position in the visual field of optical receiver is solid
Fixed noise spot, arithmetic processor easily judges the displacement of optical mouse, impact operation by accident because of noise spot
Feel and manipulation degree of accuracy.Therefore, how under the existing hardware framework of optical mouse, a kind of noise is designed
Detecting mechanism is to take into account Costco Wholesale and product usefulness, and just the emphasis for related optical navigator manufacturer is sent out
Exhibition target.
Summary of the invention
The present invention is to provide a kind of image processing method that can be used to detect noise and has noise detecting
The guider of function, to solve above-mentioned problem.
The claim of the present invention is to disclose a kind of image processing method for detecting noise, its bag
Containing adjustment one luminescence unit to obtain an overexposure image, by each pixel of this overexposure image
Compare with at least one threshold value, when the brightness of one of this overexposure image pixel is less than this threshold value,
This pixel of labelling is a noise spot, and gets rid of this noise spot to perform displacement detection computing.
The claim of the present invention separately discloses this luminescence unit of adjustment to obtain this overexposure image
Step is for increasing one of this luminescence unit time of exposure and/or an exposure intensity and to obtain this overexposure shadow
Picture.Get rid of this noise spot with the step performing this displacement detection computing be for: in this overexposure image
Get rid of this noise spot, and utilize this overexposure image to perform this displacement detection computing；Or for adjusting this
Light unit, to obtain a non-overexposure image, gets rid of this noise spot from this non-overexposure image, with
And utilize this non-overexposure image to perform this displacement detection computing.
The claim of the present invention separately disclose image processing method be applied to have this luminescence unit and
One guider of one image acquisition unit, and the step performing this displacement detection computing be for: utilize should
Image acquisition unit obtains the pick-up image with same fixed reference feature respectively in different time points, and distinguishes
Know this fixed reference feature change in location in those pick-up images, to judge the displacement of this guider.This
Outward, get rid of this noise spot to comprise to ignore with the step performing this displacement detection computing and correspond to this noise spot
This pixel, and the brightness for other pixel except this noise spot performs this displacement detection computing.
The claim of the present invention separately discloses this noise spot of eliminating to perform the step of this displacement detection computing
Suddenly comprising: calculate a simulation value according to the brightness of the neighbor of this noise spot with a default function, replacing should
The brightness of noise spot is this analogue value, and utilize other pixel except this simulation value and this noise spot it
Brightness performs this displacement detection computing.This default function is that those brightness according to this neighbor are with interpolation
Method calculates this analogue value or the meansigma methods of those brightness calculating this neighbor or median using as this
The analogue value.
The claim of the present invention separately discloses a kind of guider with noise detecting function, comprises
There are a luminescence unit, an image acquisition unit and a processing unit.This luminescence unit has an adjustment type
Shutter and/or an adjustment type aperture.This processing unit electrically connects this luminescence unit and this image acquisition unit.
This processing unit adjusts this adjustment type shutter and/or this adjustment type aperture to obtain an overexposure image, will
Each pixel of this overexposure image compares with at least one threshold value, and in this overexposure image
One of pixel brightness less than this threshold value time this pixel of labelling be a noise spot, get rid of this noise spot accordingly
To perform displacement detection computing.
The guider of the present invention can be adjusted by time of exposure or the intensity of light source in one section of special time
Obtain the pick-up image of deliberately overexposure etc. mode, and be compared to this pick-up image with acquiescence threshold value
All pixels, whether to judge on pick-up image with the presence of noise spot.After finding noise spot, optional
The pixel intensity of the correspondence position of noise spot is directly ignored, guider for noise spot beyond
Pixel intensity performs displacement detection computing.If being intended to obtain the change of more accurate displacement information to make guider
Cursor can be the most smooth, and alternative of the present invention utilizes interpolation, mean operation method or median to calculate
The pixel intensity of the method point of simulator and noise again position is also replaced, and just can utilize all pictures of pick-up image
Element performs displacement detection computing.Compared to prior art, the present invention is not required to expend high material cost and goes
The unnecessary nextport hardware component NextPort of extra increase, can allow guider remain to maintain light in the presence of noise spot
Graticule locomotivity, and then improve system convenience and the market competitiveness of guider.
Accompanying drawing explanation
Fig. 1 is the functional block diagram of the guider with noise detecting function of the embodiment of the present invention.
Fig. 2 is the part-structure schematic diagram of the guider of the embodiment of the present invention.
Fig. 3 is the method flow diagram utilizing overexposure image detecting noise of the embodiment of the present invention.
Fig. 4 is the schematic diagram of the non-overexposure image with noise spot of the embodiment of the present invention.
Fig. 5 is the schematic diagram of the overexposure image with noise spot of the embodiment of the present invention.
Fig. 6 is the schematic diagram of the pick-up image of the eliminating noise spot of the embodiment of the present invention.
Fig. 7 is the pixel map of the overexposure image shown in Fig. 5.
The realization of the object of the invention, functional characteristics and advantage will in conjunction with the embodiments, do referring to the drawings further
Explanation.
Detailed description of the invention
Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not used to limit
Determine the present invention.
Refer to the guider with noise detecting function that Fig. 1 and Fig. 2, Fig. 1 are the embodiment of the present invention
The functional block diagram of 10, Fig. 2 is the part-structure schematic diagram of the guider 10 of the embodiment of the present invention.Lead
Boat device 10 comprises luminescence unit 12, image acquisition unit 14 and processing unit 16.Processing unit 16
Electrical connection luminescence unit 12 and image acquisition unit 14.Processing unit 16 can be by controlling luminescence unit 12
Adjustment type shutter 18 and/or adjustment type aperture 20 change with reference to light intensity so that image acquisition unit 14
The image with enough brightness can be obtained.In embodiments of the present invention, luminescence unit 12 can comprise several behaviour
Operation mode obtains non-overexposure image and overexposure image for image acquisition unit 14.For example,
Luminescence unit 12 is switched to the first operator scheme by processing unit 16, can postpone adjustment type shutter 18 to increase
Add the time of exposure of luminescence unit 12 or amplify adjustment type aperture 20 to increase the exposure of luminescence unit 12
Intensity, makes image acquisition unit 14 obtain excessive exposed image, so obtains the mode of excessive exposed image also
It is not limited to this.When luminescence unit 12 is separately switched to the second operator scheme by processing unit 16, tune can be improved
The speed of integral expression shutter 18 or reduce adjustment type aperture 20, allow image acquisition unit 14 can obtain non-excessively
Exposed image.
During the displacement detection of guider 10, processing unit 16 is to utilize image acquisition unit 14
The pick-up image of correspondence, wrapping within sweep of the eye of image acquisition unit 14 is obtained respectively in different time points
Containing at least one fixed reference feature, and this at least one fixed reference feature all can occur in above-mentioned different time points and take
In several the pick-up images obtained.Processing unit 16 can identification fixed reference feature position in multiple pick-up images
Change, judges the global displacement of guider 10 according to its change in location.If occurring in pick-up image
The noise spot that position will not change (is such as formed at luminescence unit 12 and/or the eyeglass of image acquisition unit 14
On, so it is not limited to this), processing unit 16 will be unable to distinguish noise spot and fixed reference feature, and can produce mistake
Displacement detection computing.Therefore, the guider 10 of the present invention utilizes the mode improving background light filling to produce
Overexposure image, maintains noise spot to have certain identification to desalinate fixed reference feature on pick-up image
Degree, thereby judges whether have noise spot in pick-up image, if there being noise spot also can find out its position accordingly,
Guarantee that follow-up displacement detection can be got rid of noise spot and carry out correct computing.
Guider 10 also can comprise coffret unit 22 and mnemon 24, is electrically connected in place
Reason unit 16.After processing unit 16 utilizes overexposure image to obtain the change of correct displacement coordinate, can be by
Displacement information is sent to external host via coffret unit 22, allows external host sentence according to displacement information
The control instruction of disconnected user's input, starts corresponding application program to realize its function.Furthermore, memory is single
Unit 24 can store the threshold value in order to comparison noise spot and the comparative result of processing unit 16 execution.
The size of threshold value can according to the characteristic of luminescence unit 12 and/or image acquisition unit 14 correspondingly actively or
Passive type changes, so no longer elaborate.Processing unit 16 is by each picture of overexposure image
Element compares respectively with threshold value, begins to draw in overexposure image whether have noise spot, and can phase
Noise spot coordinate position in image should be marked.
Refer to Fig. 3 to Fig. 7, Fig. 3 be the embodiment of the present invention utilize overexposure image detecting noise it
Method flow diagram, Fig. 4 is the signal of the non-overexposure image I1 with noise spot of the embodiment of the present invention
Figure, Fig. 5 is the schematic diagram of the overexposure image I2 with noise spot of the embodiment of the present invention, and Fig. 6 is
The schematic diagram of the pick-up image I3 of the eliminating noise spot of the embodiment of the present invention, Fig. 7 is excessive shown in Fig. 5
The pixel map of exposed image I2.Wherein, the image processing method of the detecting noise described in Fig. 3 is suitable for
In the guider 10 shown in Fig. 1 Yu Fig. 2.The transverse axis of pixel map shown in Fig. 7 is respectively with the longitudinal axis
Pixel value (brightness) and pixel quantity.Luminescence unit 12 when the second operator scheme, image acquisition unit 14
Non-overexposure image I1 can be obtained, Fig. 4 be difficult to distinguish noise spot A and fixed reference feature (noise spot A
Other pixel in addition), therefore the image processing method of the present invention need to be performed with correct identification noise spot A.
First, performing step 300, processing unit 16 switches luminescence unit the 12 to the first operator scheme to take
Obtain overexposure image I2.Luminescence unit 12 can improve by its time of exposure of increase and/or exposure intensity
The background light intensity of image acquisition unit 14, obtains the pick-up image of deliberately overexposure.With reference to Fig. 4 and figure
5 understand, and the noise spot A of non-overexposure image I1 and fixed reference feature are (in image I1 beyond noise spot A
Any pixel all possibly as fixed reference feature) light and shade difference notable, but through deliberately overexposure it
The fixed reference feature of pick-up image I2 is desalinated so that it is noise spot A (circle as shown in Figure 5 selects mark) is special
The most obvious.The most then perform step 302, processing unit 16 by each pixel of overexposure image I2 with
Threshold value T compares respectively.The quantity of threshold value T is at least one, in order to distinguish dark noise
Point A and brighter fixed reference feature.If mnemon 24 stores multiple threshold value T, processing unit 16 is another
Can fall according to noise spot Building A and give the numerical operation function of correspondence in the door interval of different range, its
The noise spot of many doors, depending on design requirement, is not detected computing elaborate in this by application end.
When the brightness of one of them pixel of excessive exposed image I2 is higher than threshold value T, perform step
304, it is determined that this pixel is not noise spot.In overexposure image I2, the brightness of a certain pixel is less than threshold value
During T, performing step 306, this pixel (brightness pixel less than threshold value T) is labeled as by processing unit 16
Noise spot A.In general, processing unit 16 is all pixels progressively scanning excessive exposed image I2,
Just can summarize noise spot A and be positioned at the where of overexposure image I2, therefore complete step 304 and 306
After, sentence read result can be stored in mnemon 24 by processing unit 16, treats full width overexposure image
I2 scans the complete beginning and knows the tram of noise spot A, and so its actual application is not limited to this.Finally,
Perform step 308, because noise spot A cannot correctly reflect the displacement information of guider 10, process single
The error message of noise spot A is got rid of by unit 16, (implies that the ginseng beyond noise spot A with remaining valid pixel
Examine the pixel value of feature) perform guider 10 displacement detection computing.
In step 308, guider 10 may select eliminating noise spot A in overexposure image I2
After, directly utilize this overexposure image I2 and perform displacement detection computing；Or optional utilize overexposure
After image I2 finds out noise spot A, the position of labelling noise spot A and the non-overexposure image I1 of another generation,
And in non-overexposure image I1, get rid of the pixel intensity of marked position (noise spot A), got rid of
The pick-up image I3 of noise spot A is to perform displacement detection computing.In addition, the present invention also provides multiple
The method for removing of noise spot A, one of which method is that processing unit 16 is got the bid at overexposure image I2
After the correspondence position of note noise spot A, follow-up is to use non-overexposure image I1 or overexposure shadow
As I2 performs displacement detection computing, only can be in image to be processed (non-overexposure image I1 or overexposure
Image I2) on ignore the pixel of noise spot location A, allow processing unit 16 for its except noise spot A
Its pixel intensity performs displacement detection computing.
Another kind of method is processing unit 16 corresponding position of labelling noise spot A in overexposure image I2
Postpone, noise spot A found out by image to be processed (non-overexposure image I1 or overexposure image I2)
Neighbor, use default function (can have previously been stored in mnemon 24) with those neighbors
The brightness calculation analogue value, is substituted into the correspondence position of noise spot A by this simulation value, recycling simulation value and
Other pixel intensity except noise spot A performs displacement detection computing.Wherein, default function is can basis
The brightness of those neighbors is with interpolation calculating simulation value or to calculate the brightness of those neighbors average
Value or median, using as the analogue value, are so not limited to this.
In sum, the guider of the present invention can be adjusted by time of exposure in one section of special time
Or the mode such as the intensity of light source obtains the pick-up image of deliberately overexposure, and it is compared to this with acquiescence threshold value
Open all pixels of pick-up image, whether to judge on pick-up image with the presence of noise spot.Find noise spot
After, may select and the pixel intensity of the correspondence position of noise spot is directly ignored, guider is for making an uproar
Pixel intensity beyond sound point performs displacement detection computing.If being intended to obtain the change of more accurate displacement information make
The cursor of guider can be the most smooth, and alternative of the present invention utilizes interpolation, mean operation method
Or the pixel intensity of the median algorithm point of simulator and noise again position being replaced, just can utilize and capture shadow
All pixels of picture perform displacement detection computing.Compared to prior art, the present invention is not required to expend high
Material cost goes additionally to increase unnecessary nextport hardware component NextPort, can allow guider in the presence of noise spot
Remain to maintain the linear locomotivity of cursor, and then improve system convenience and the market competitiveness of guider.
These are only the preferred embodiments of the present invention, not thereby limit the scope of the claims of the present invention, every
Utilize equivalent structure or equivalence flow process conversion that description of the invention and accompanying drawing content made, or directly or
Connect and be used in other relevant technical fields, be the most in like manner included in the scope of patent protection of the present invention.
Claims (17)
1. the image processing method being used for detecting noise, it is characterised in that it includes:
Adjust a luminescence unit to obtain an overexposure image；
Each pixel of this overexposure image is compared with at least one threshold value；
When the brightness of one of this overexposure image pixel is less than this threshold value, this pixel of labelling is a noise
Point；And
Get rid of this noise spot to perform displacement detection computing.
2. the image processing method described in claim 1, it is characterised in that adjust this luminescence unit to take
Obtain the step of this overexposure image be for:
Increase one of this luminescence unit time of exposure and/or an exposure intensity and obtain this overexposure image.
3. the image processing method described in claim 1, it is characterised in that get rid of this noise spot to perform
The step of this displacement detection computing be for:
In this overexposure image, get rid of this noise spot, and utilize this overexposure image to perform this displacement
Detecting computing.
4. the image processing method described in claim 1, it is characterised in that get rid of this noise spot to perform
The step of this displacement detection computing be for:
Adjust this luminescence unit to obtain a non-overexposure image；
This noise spot is got rid of from this non-overexposure image；And
This non-overexposure image is utilized to perform this displacement detection computing.
5. the image processing method described in claim 1, it is characterised in that it is to be applied to have this
Light unit and a guider of an image acquisition unit, and the step performing this displacement detection computing be for:
This image acquisition unit is utilized to obtain the acquisition shadow with same fixed reference feature respectively in different time points
Picture；And
This fixed reference feature of identification change in location in those pick-up images, to judge the position of this guider
Move.
6. the image processing method described in claim 1, it is characterised in that get rid of this noise spot to perform
The step of this displacement detection computing comprises:
Ignore this pixel corresponding to this noise spot；And
Brightness for other pixel except this noise spot performs this displacement detection computing.
7. the image processing method described in claim 1, it is characterised in that get rid of this noise spot to perform
The step of this displacement detection computing comprises:
A simulation value is calculated with a default function according to the brightness of the neighbor of this noise spot；
The brightness replacing this noise spot is this analogue value；And
The brightness utilizing other pixel except this simulation value and this noise spot performs this displacement detection computing.
8. the image processing method described in claim 7, it is characterised in that this default function is according to being somebody's turn to do
Those brightness of neighbor are with this analogue value of interpolation calculation or those brightness of calculating this neighbor
Meansigma methods or median using as this analogue value.
9. a guider with noise detecting function, it is characterised in that include:
One luminescence unit, has an adjustment type shutter and/or an adjustment type aperture；
One image acquisition unit；And
One processing unit, electrically connects this luminescence unit and this image acquisition unit, and this processing unit adjusts should
Adjustment type shutter and/or this adjustment type aperture to obtain an overexposure image, by this overexposure image it
Each pixel compares with at least one threshold value, and low in the brightness of one of this overexposure image pixel
When this threshold value, this pixel of labelling is a noise spot, gets rid of this noise spot accordingly to perform displacement detection fortune
Calculate.
10. the guider described in claim 9, it is characterised in that this processing unit is to postpone this tune
Integral expression shutter is to increase one of this luminescence unit time of exposure or to amplify this adjustment type aperture to increase this
One of light unit exposure intensity.
Guider described in 11. claim 9, it is characterised in that this luminescence unit has one first
Operator scheme and one second operator scheme, it is this first operator scheme that this processing unit switches this luminescence unit
To obtain this overexposure image.
Guider described in 12. claim 9, it is characterised in that this processing unit excessively exposes at this
Optical image is got rid of this noise spot, to utilize this overexposure image to perform this displacement detection computing.
Guider described in 13. claim 11, it is characterised in that this processing unit separately switches this
Light unit be this second operator scheme to obtain a non-overexposure image, and from this non-overexposure image
This noise spot of middle eliminating, to utilize this non-overexposure image to perform this displacement detection computing.
Guider described in 14. claim 9, it is characterised in that this processing unit utilizes this image
Acquisition unit obtains the pick-up image with same fixed reference feature, this reference of identification respectively in different time points
Feature change in location in those pick-up images, to judge the displacement of this guider.
Guider described in 15. claim 9, it is characterised in that this luminescence unit is to ignore correspondence
To this pixel of this noise spot, and perform this displacement for the brightness of other pixel except this noise spot and detect
Survey computing.
Guider described in 16. claim 9, it is characterised in that this luminescence unit is according to this noise
The brightness of the neighbor of point calculates a simulation value with a default function, replaces the brightness of this noise spot for being somebody's turn to do
The analogue value, to utilize the brightness of other pixel except this simulation value and this noise spot to perform this displacement detection
Computing.
Guider described in 17. claim 16, it is characterised in that this default function is according to this phase
Those brightness of adjacent pixel with this analogue value of interpolation calculation or calculate this neighbor those brightness it
Meansigma methods or median are using as this analogue value.
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| CN201510116721.3A CN106033263B (en) | 2015-03-17 | 2015-03-17 | For detecting the image processing method and its navigation device of noise |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201510116721.3A CN106033263B (en) | 2015-03-17 | 2015-03-17 | For detecting the image processing method and its navigation device of noise |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108459741A (en) * | 2017-02-22 | 2018-08-28 | 原相科技股份有限公司 | Apart from detecting mechanism and its with the navigation device apart from detecting function |
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| CN103576909A (en) * | 2012-08-02 | 2014-02-12 | 原相科技股份有限公司 | Optical displacement detection device and method |
| US20140210722A1 (en) * | 2013-01-30 | 2014-07-31 | Pixart Imaging Inc. | Optical mouse apparatus for adjusting exposure of sensed image output and related method thereof |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103309465A (en) * | 2012-03-07 | 2013-09-18 | 原相科技股份有限公司 | Interference image determination method and interference image determination device |
| CN103576909A (en) * | 2012-08-02 | 2014-02-12 | 原相科技股份有限公司 | Optical displacement detection device and method |
| US20140210722A1 (en) * | 2013-01-30 | 2014-07-31 | Pixart Imaging Inc. | Optical mouse apparatus for adjusting exposure of sensed image output and related method thereof |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108459741A (en) * | 2017-02-22 | 2018-08-28 | 原相科技股份有限公司 | Apart from detecting mechanism and its with the navigation device apart from detecting function |
| CN108459741B (en) * | 2017-02-22 | 2021-01-19 | 原相科技股份有限公司 | Distance detection mechanism and navigation device with distance detection function |
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| CN106033263B (en) | 2019-04-12 |
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