CN106033263B - For detecting the image processing method and its navigation device of noise - Google Patents
For detecting the image processing method and its navigation device of noise Download PDFInfo
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- CN106033263B CN106033263B CN201510116721.3A CN201510116721A CN106033263B CN 106033263 B CN106033263 B CN 106033263B CN 201510116721 A CN201510116721 A CN 201510116721A CN 106033263 B CN106033263 B CN 106033263B
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Abstract
The invention discloses a kind of image processing methods for detecting noise, it includes have one luminescence unit of adjustment to obtain an overexposure image, each pixel of the overexposure image is compared with an at least threshold value, when the brightness of one pixel of the overexposure image is lower than the threshold value, marking the pixel is a noise spot, and excludes the noise spot to execute displacement detection operation.The present invention is also disclosed that a kind of navigation device with noise detecting function.
Description
Technical field
The present invention is to provide a kind of image processing method and its navigation device, espespecially a kind of image that can be used to detect noise
Processing method and its navigation device with noise detecting function.
Background technique
Traditional optical mouse is that optical transmitting set, optical receiver and arithmetic processor are arranged in shell.Optical mouse is moved
When dynamic, the light that optical transmitting set issues is reflected via desktop or mouse pad to be received by optical receiver, arithmetic processor analysis reflection
Light can interpretation go out the surface texture featur of desktop or mouse pad, and using those surface texture featurs in the visual field of optical receiver
Interior change in location removes the displacement of calculating optical mouse.However, under long-time use or sordid operating environment, light emitting
There may be scratch or dust falls on the internal optical (such as lens) of device and/or optical receiver, can be in the view of optical receiver
The fixed noise spot of forming position in open country, arithmetic processor are easy to judge the displacement of optical mouse by accident because of noise spot, influence to grasp
Make feel and manipulation accuracy.Therefore, how to be designed under the existing hardware framework of optical mouse a kind of noise detecting mechanism with
Costco Wholesale and product efficiency are taken into account, just gives priority to target for related optical navigation equipment manufacturer.
Summary of the invention
The present invention is to provide a kind of image processing method that can be used to detect noise and its leading with noise detecting function
Navigate device, to solve the above problem.
Claim of the invention is to disclose a kind of image processing method for detecting noise, and it includes have adjustment
One luminescence unit is compared each pixel of the overexposure image and an at least threshold value with obtaining an overexposure image
Compared with when the brightness of a pixel of the overexposure image is lower than the threshold value, marking the pixel is a noise spot, and excluding should
Noise spot is to execute displacement detection operation.
Claim of the invention, which separately discloses, to be adjusted the luminescence unit and to obtain is the step of the overexposure image
For increase the luminescence unit a time for exposure and/or an exposure intensity and obtain the overexposure image.Exclude the noise spot
It is the step of the displacement detection operation to execute are as follows: exclude the noise spot in the overexposure image, and utilize the excessive exposure
Optical image executes the displacement detection operation；Or be to adjust the luminescence unit to obtain a non-overexposure image, it is non-excessively from this
The noise spot is excluded in exposed image, and executes the displacement detection operation using the non-overexposure image.
It is to be applied to have the luminescence unit and an image that claim of the invention, which separately discloses image processing method,
One navigation device of acquisition unit, and the step of executing the displacement detection operation is are as follows: using the image acquisition unit in difference
Time point obtains the pick-up image with same fixed reference feature respectively, and recognizes the fixed reference feature in those pick-up images
Change in location, to judge the displacement of the navigation device.In addition, the step of excluding the noise spot to execute displacement detection operation packet
It executes the displacement containing ignoring the pixel for corresponding to the noise spot, and for the brightness of other pixels except the noise spot and detects
Survey operation.
Claim of the invention, which separately discloses, to be excluded the noise spot and to execute includes the step of the displacement detection operation:
One analogue value is calculated with a default function according to the brightness of the adjacent pixel of the noise spot, the brightness for replacing the noise spot is the simulation
Value, and the displacement detection operation is executed using the brightness of other pixels except the analogue value and the noise spot.The default letter
Number is with the interpolation calculation analogue value or to calculate those brightness of the adjacent pixel according to those brightness of the adjacent pixel
Average value or median are using as the analogue value.
Claim of the invention separately discloses a kind of navigation device with noise detecting function, includes one luminous
Unit, an image acquisition unit and a processing unit.The luminescence unit has an adjustment type shutter and/or an adjustment type light
Circle.The processing unit is electrically connected the luminescence unit and the image acquisition unit.The processing unit adjust the adjustment type shutter and/or
The adjustment type aperture is carried out each pixel of the overexposure image and an at least threshold value with obtaining an overexposure image
Compare, and mark the pixel for a noise spot when brightness of a pixel of the overexposure image is lower than the threshold value, accordingly
The noise spot is excluded to execute displacement detection operation.
Navigation device of the invention can obtain in one section of specific time by the adjustment modes such as time for exposure or the intensity of light source
To the pick-up image of deliberately overexposure, and to default threshold value than all pixels for this pick-up image, picked with judgement
It whether takes on image with the presence of noise spot.After finding noise spot, it may be selected the pixel intensity of the corresponding position of noise spot is direct
It ignores, navigation device is directed to the pixel intensity other than noise spot and executes displacement detection operation.If being intended to obtain more accurate position
Moving information change keeps the cursor of navigation device more smooth, and the present invention is alternative to utilize interpolation method, mean operation method
Or median algorithm the pixel intensity of simulator and noise point position and is replaced again, can utilize all pixels of pick-up image
Execute displacement detection operation.Compared to prior art, the present invention be not required to expend high material cost go additionally to increase it is extra hard
Part component can allow navigation device to remain to maintain cursor linear locomotivity in the presence of noise spot, and then improve and lead
The system convenience and the market competitiveness of boat device.
Detailed description of the invention
Fig. 1 is the functional block diagram of the navigation device with noise detecting function of the embodiment of the present invention.
Fig. 2 is the partial structure diagram of the navigation device of the embodiment of the present invention.
Fig. 3 is the method flow diagram using 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 exclusion noise spot of the embodiment of the present invention.
Fig. 7 is the pixel map of overexposure image shown in fig. 5.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
Fig. 1 and Fig. 2 are please referred to, Fig. 1 is the navigation device 10 with noise detecting function of the embodiment of the present invention
Block diagram, Fig. 2 are the partial structure diagram of the navigation device 10 of the embodiment of the present invention.Navigation device 10 includes luminescence unit
12, image acquisition unit 14 and processing unit 16.Processing unit 16 is electrically connected luminescence unit 12 and image acquisition unit 14.Place
Reason unit 16 can change by the adjustment type shutter 18 and/or adjustment type aperture 20 of control luminescence unit 12 with reference to light intensity, make
The image with enough brightness can be obtained by obtaining image acquisition unit 14.In embodiments of the present invention, luminescence unit 12 may include number
Kind operation mode non-overexposure image and overexposure image so that image acquisition unit 14 obtains.For example, processing is single
Luminescence unit 12 is switched to first operator scheme by member 16, when can postpone exposure of the adjustment type shutter 18 to increase luminescence unit 12
Between or amplification adjustment type aperture 20 to increase the exposure intensity of luminescence unit 12, so that image acquisition unit 14 is obtained overexposure
Image, the mode for so obtaining excessive exposed image are not limited to this.Luminescence unit 12 is separately switched to the second behaviour by processing unit 16
When operation mode, the speed of adjustment type shutter 18 can be improved or reduce adjustment type aperture 20, image acquisition unit 14 can be obtained non-
Overexposure image.
During the displacement detection of navigation device 10, processing unit 16 is using image acquisition unit 14 in different time
Point obtains corresponding pick-up image respectively, and image acquisition unit 14 can include at least one fixed reference feature within sweep of the eye, and
At least one fixed reference feature can all appear in the several pick-up images that above-mentioned different time points obtain.Processing unit 16 can be distinguished
Know change in location of the fixed reference feature in multiple pick-up images, the global displacement of navigation device 10 is judged according to its change in location.
If interior appearance position will not change in pick-up image noise spot (such as it is formed in luminescence unit 12 and/or image capture list
It is so without being limited thereto on the eyeglass of member 14), processing unit 16 will be unable to difference noise spot and fixed reference feature, and can generate mistake
Displacement detection operation.Therefore, navigation device 10 of the invention generates overexposure image in the way of raising background light filling, with
Desalinate fixed reference feature on pick-up image but still noise spot is maintained to have certain identification, judges whether have in pick-up image whereby
There is noise spot, if there is noise spot also can accordingly find out its position, it is ensured that subsequent displacement detection can exclude noise spot and carry out correctly
Operation.
Navigation device 10 also may include transmission interface unit 22 and memory unit 24, be electrically connected in processing unit 16.
It, can be by displacement information via coffret list after processing unit 16 obtains correct displacement coordinate variation using overexposure image
Member 22 is transmitted to external host, and external host is allowed to judge the control instruction of user's input according to displacement information, and starting is answered accordingly
With program to realize its function.Furthermore memory unit 24 can store threshold value and processing unit 16 to compare noise spot
The comparison result of execution.The size of threshold value can be according to the corresponding landlord of characteristic of luminescence unit 12 and/or image acquisition unit 14
Dynamic or passive type changes, so no longer elaborate.Processing unit 16 is by each pixel and door of overexposure image
Value is compared respectively, begins to obtain whether have noise spot in overexposure image, and energy respective markers go out noise spot in image
In coordinate position.
Fig. 3 to Fig. 7 is please referred to, Fig. 3 is the method flow using overexposure image detecting noise of the embodiment of the present invention
Figure, Fig. 4 are the schematic diagram of the non-overexposure image I1 with noise spot of the embodiment of the present invention, and Fig. 5 is the embodiment of the present invention
The overexposure image I2 with noise spot schematic diagram, Fig. 6 be the embodiment of the present invention exclusion noise spot pick-up image
The schematic diagram of I3, Fig. 7 are the pixel map of overexposure image I2 shown in fig. 5.Wherein, detecting noise described in Fig. 3
Image processing method is suitable for Fig. 1 and navigation device 10 shown in Fig. 2.The horizontal axis and the longitudinal axis of pixel map shown in Fig. 7 are distinguished
For pixel value (brightness) and pixel quantity.For luminescence unit 12 in second operator scheme, image acquisition unit 14 can obtain non-mistake
Exposed image I1 is spent, is difficult to distinguish noise spot A and fixed reference feature (other pixels other than noise spot A) by Fig. 4, therefore needs to execute
Image processing method of the invention is correctly to recognize noise spot A.
Firstly, executing step 300, processing unit 16 switches luminescence unit 12 to first operator scheme to obtain overexposure
Image I2.Luminescence unit 12 can improve the background of image acquisition unit 14 by its time for exposure and/or exposure intensity is increased
Light intensity obtains the pick-up image of deliberately overexposure.Referring to Fig. 4 and Fig. 5 it is found that the noise spot A of non-overexposure image I1 with
The light and shade difference of fixed reference feature (any pixel in image I1 other than noise spot A may be as fixed reference feature) is not significant,
But the fixed reference feature of the pick-up image I2 through deliberately overexposure is desalinated, its noise spot A (circle choosing label as shown in Figure 5 is made
Place) it is particularly evident.Therefore step 302 is then executed, processing unit 16 divides each pixel of overexposure image I2 and threshold value T
It is not compared.The quantity of threshold value T is at least one, to distinguish darker noise spot A and brighter fixed reference feature.If note
Recall unit 24 and store multiple threshold value T, processing unit 16 the door section of different range can be separately fallen according to noise spot Building A and to
Corresponding numerical operation function is given, application end does not detect operation skill to the noise spot of more doors depending on design requirement, in this
Art elaborate.
When the brightness of one of pixel of excessive exposed image I2 is higher than threshold value T, step 304 is executed, determining should
Pixel is not noise spot.When the brightness of a certain pixel is lower than threshold value T in overexposure image I2, step 306 is executed, processing is single
The pixel (pixel that brightness is lower than threshold value T) is labeled as noise spot A by member 16.In general, processing unit 16 is gradually to sweep
The all pixels of overexposure image I2 are taken aim at, the where that noise spot A is located at overexposure image I2 can be just summarized, therefore complete
After step 304 and 306, interpretation result can be stored in memory unit 24 by processing unit 16, to full width overexposure image
I2 scans the correct position for finishing and beginning to know noise spot A, its right practical application is not limited to this.Finally, step 308 is executed, because
Noise spot A can not correctly reflect that the displacement information of navigation device 10, processing unit 16 exclude the error message of noise spot A, with
Remaining valid pixel (pixel value for implying that the fixed reference feature other than noise spot A) executes the displacement detection fortune of navigation device 10
It calculates.
In step 308, navigation device 10 may be selected after excluding noise spot A in overexposure image I2, directly utilize
This overexposure image I2 executes displacement detection operation；Or it may be selected after finding out noise spot A using overexposure image I2, label
The position of noise spot A and non-overexposure image I1 is separately generated, and excludes marked position in non-overexposure image I1 and (make an uproar
Sound point A) pixel intensity, obtain exclude noise spot A pick-up image I3 to execute displacement detection operation.In addition to this, this hair
Bright also to provide the method for removing of a variety of noise spot A, one of method is that processing unit 16 marks in overexposure image I2
After the corresponding position of noise spot A, no matter it is subsequent be to execute displacement using non-overexposure image I1 or overexposure image I2 to detect
Operation is surveyed, only noise spot location A can be ignored on image to be handled (non-overexposure image I1 or overexposure image I2)
Pixel allows processing unit 16 to execute displacement detection operation for other pixel intensities except noise spot A.
After another method is the corresponding position that processing unit 16 marks noise spot A in overexposure image I2, it is being intended to
The adjacent pixel that noise spot A is found out in processing image (non-overexposure image I1 or overexposure image I2) uses default letter
This analogue value is substituted into and is made an uproar with the brightness calculation analogue value of those adjacent pixels by number (can have previously been stored in memory unit 24)
The corresponding position of sound point A recycles other pixel intensities except the analogue value and noise spot A to execute displacement detection operation.Wherein,
Default function is with interpolation method calculating simulation value or can to calculate the brightness of those adjacent pixels according to the brightness of those adjacent pixels
Average value or median are so without being limited thereto using as the analogue value.
In conclusion navigation device of the invention can be strong by adjustment time for exposure or light source in one section of specific time
The modes such as degree obtain the pick-up image of deliberately overexposure, and to default threshold value than all pictures for this pick-up image
Element, whether to judge on pick-up image with the presence of noise spot.After finding noise spot, it may be selected the picture of the corresponding position of noise spot
Plain brightness is directly ignored, and navigation device is directed to the pixel intensity other than noise spot and executes displacement detection operation.If being intended to obtain
More accurate displacement information variation keeps the cursor of navigation device more smooth, the present invention is alternative utilize interpolation method,
Mean operation method or median algorithm the pixel intensity of simulator and noise point position and are replaced again, can utilize pick-up image
All pixels execute displacement detection operation.Compared to prior art, the present invention, which is not required to expend high material cost, to be gone additionally
Increase extra hardware component, navigation device can be allowed to remain to maintain cursor linear locomotivity in the presence of noise spot,
And then improve the system convenience and the market competitiveness of navigation device.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (17)
1. a kind of image processing method for detecting noise, which is characterized in that it includes have:
A luminescence unit is adjusted to obtain an overexposure image；
Each pixel of the overexposure image is compared with an at least threshold value；
When the brightness of one pixel of the overexposure image is lower than the threshold value, marking the pixel is a noise spot；And
The noise spot is excluded to execute displacement detection operation.
2. image processing method described in claim 1, which is characterized in that adjust the luminescence unit to obtain the overexposure shadow
As the step of be are as follows:
Increase the luminescence unit a time for exposure and/or an exposure intensity and obtain the overexposure image.
3. image processing method described in claim 1, which is characterized in that exclude the noise spot to execute the displacement detection operation
The step of be are as follows:
The noise spot is excluded in the overexposure image, and executes the displacement detection operation using the overexposure image.
4. image processing method described in claim 1, which is characterized in that exclude the noise spot to execute the displacement detection operation
The step of be are as follows:
The luminescence unit is adjusted to obtain a non-overexposure image；
The noise spot is excluded from the non-overexposure image；And
The displacement detection operation is executed using the non-overexposure image.
5. image processing method described in claim 1, which is characterized in that it is to be applied to have the luminescence unit and an image
One navigation device of acquisition unit, and the step of executing the displacement detection operation is are as follows:
Obtain the pick-up image with same fixed reference feature respectively in different time points using the image acquisition unit；And
Change in location of the fixed reference feature in those pick-up images is recognized, to judge the displacement of the navigation device.
6. image processing method described in claim 1, which is characterized in that exclude the noise spot to execute the displacement detection operation
The step of include:
Ignore the pixel for corresponding to the noise spot；And
Brightness for other pixels except the noise spot executes the displacement detection operation.
7. image processing method described in claim 1, which is characterized in that exclude the noise spot to execute the displacement detection operation
The step of include:
One analogue value is calculated with a default function according to the brightness of the adjacent pixel of the noise spot；
The brightness for replacing the noise spot is the analogue value；And
The displacement detection operation is executed using the brightness of other pixels except the analogue value and the noise spot.
8. image processing method as claimed in claim 7, which is characterized in that the default function be according to the adjacent pixel those
Brightness is with the average value or median of the interpolation calculation analogue value or those brightness for calculating the adjacent pixel using as the mould
Analog values.
9. a kind of navigation device with noise detecting function, which is characterized 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 is electrically connected the luminescence unit and the image acquisition unit, the processing unit adjust the adjustment type shutter and/
Or the adjustment type aperture to be to obtain an overexposure image, by each pixel of the overexposure image and an at least threshold value into
Row compares, and marks the pixel for a noise spot when brightness of a pixel of the overexposure image is lower than the threshold value, according to
This excludes the noise spot to execute displacement detection operation.
10. navigation device as claimed in claim 9, which is characterized in that the processing unit is to postpone the adjustment type shutter to increase
One time for exposure of the luminescence unit amplifies the adjustment type aperture to increase an exposure intensity of the luminescence unit.
11. navigation device as claimed in claim 9, which is characterized in that the luminescence unit has a first operator scheme and one the
Two operation modes, it is the first operator scheme to obtain the overexposure image which, which switches the luminescence unit,.
12. navigation device as claimed in claim 9, which is characterized in that the processing unit excludes in the overexposure image should
Noise spot, to execute the displacement detection operation using the overexposure image.
13. navigation device described in claim 11, which is characterized in that the processing unit separately switch the luminescence unit be this second
Operation mode excludes the noise spot from the non-overexposure image to obtain a non-overexposure image, with non-using this
Overexposure image executes the displacement detection operation.
14. navigation device as claimed in claim 9, which is characterized in that the processing unit is using the image acquisition unit in difference
Time point obtains the pick-up image with same fixed reference feature respectively, recognizes position of the fixed reference feature in those pick-up images
Variation, to judge the displacement of the navigation device.
15. navigation device as claimed in claim 9, which is characterized in that the luminescence unit is to ignore to correspond to being somebody's turn to do for the noise spot
Pixel, and the displacement detection operation is executed for the brightness of other pixels except the noise spot.
16. navigation device as claimed in claim 9, which is characterized in that the luminescence unit is the adjacent pixel according to the noise spot
Brightness calculates an analogue value with a default function, and the brightness for replacing the noise spot is the analogue value, to utilize the analogue value and be somebody's turn to do
The brightness of other pixels except noise spot executes the displacement detection operation.
17. navigation device described in claim 16, which is characterized in that the default function is bright according to those of the adjacent pixel
Degree is with the average value or median of the interpolation calculation analogue value or those brightness for calculating the adjacent pixel using as the simulation
Value.
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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 |
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| TWI499941B (en) * | 2013-01-30 | 2015-09-11 | Pixart Imaging Inc | Optical mouse apparatus and method used in optical mouse apparatus |
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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 |
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