CN110163851A - The recognition methods of speck, device and computer storage medium on image - Google Patents
The recognition methods of speck, device and computer storage medium on image Download PDFInfo
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- CN110163851A CN110163851A CN201910372460.XA CN201910372460A CN110163851A CN 110163851 A CN110163851 A CN 110163851A CN 201910372460 A CN201910372460 A CN 201910372460A CN 110163851 A CN110163851 A CN 110163851A
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- 101100117236 Drosophila melanogaster speck gene Proteins 0.000 title claims abstract description 74
- 238000000034 method Methods 0.000 title claims abstract description 41
- 238000006243 chemical reaction Methods 0.000 claims abstract description 21
- 238000012545 processing Methods 0.000 claims description 39
- 238000001914 filtration Methods 0.000 claims description 17
- 230000009467 reduction Effects 0.000 claims description 17
- 238000004590 computer program Methods 0.000 claims description 8
- 238000010586 diagram Methods 0.000 description 25
- 230000006870 function Effects 0.000 description 9
- 238000003384 imaging method Methods 0.000 description 7
- 230000005540 biological transmission Effects 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 5
- 238000004891 communication Methods 0.000 description 3
- 230000010365 information processing Effects 0.000 description 3
- 241001269238 Data Species 0.000 description 2
- 230000009471 action Effects 0.000 description 2
- 238000013473 artificial intelligence Methods 0.000 description 2
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/70—Denoising; Smoothing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/28—Quantising the image, e.g. histogram thresholding for discrimination between background and foreground patterns
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/30—Noise filtering
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Abstract
The embodiment of the invention discloses recognition methods, device and the computer storage mediums of speck on a kind of image.This method comprises: carrying out denoising to images to be recognized；Binary conversion treatment is carried out to the images to be recognized for completing denoising；Speck is identified from the images to be recognized for completing binary conversion treatment.According to embodiments of the present invention, the speck in image can be identified.
Description
Technical field
The present invention relates to technical field of image processing, more particularly, to the recognition methods of speck, device on a kind of image
And computer storage medium.
Background technique
With the rapid development of artificial intelligence, the older the application scenarios of artificial intelligence also the more extensive, wherein computer vision
Even more apply to the every aspect of our lives.Computer vision refers to replaces human eye to know target with video camera and computer
Not, the machine vision such as tracking and measurement, and image procossing is further done, make computer be treated as being more suitable for eye-observation or transmission
The image detected to instrument.Wherein, the importance of the identification branch in image procossing just highlights.It is identified in image procossing
Basis be that the speck on image is identified and positioned.Therefore, it has been recognised by the inventors that needing to propose a kind of for image
The knowledge method for distinguishing of speck.
Summary of the invention
One purpose of the embodiment of the present invention is to provide a kind of new solution of the identification of speck on image.
According to a first aspect of the embodiments of the present invention, a kind of recognition methods of speck on image, the method packet are provided
It includes:
Denoising is carried out to images to be recognized；
Binary conversion treatment is carried out to the images to be recognized for completing denoising；
Speck is identified from the images to be recognized for completing binary conversion treatment.
Optionally, described the step of identifying speck from the images to be recognized for completing binary conversion treatment, comprising:
The all pixels point in the images to be recognized is traversed, the seat of all pixels for meeting presetted pixel value is recorded
Mark；
First pixel is selected from the pixel for meeting presetted pixel value, judges first pixel
Whether the pixel value of the second pixel on preset direction meets the presetted pixel value；
If satisfied, recording the coordinate of second pixel；
Using second pixel as the first pixel, on the preset direction for executing judgement first pixel
The pixel value of the second pixel the step of whether meeting the presetted pixel value, until judging result is to be unsatisfactory for；
If not satisfied, all first pixels are determined as a speck.
Optionally, after described the step of first pixel is determined as a speck, further includes:
According to the coordinate of the first pixels all in the speck, the area size of the speck is calculated.
Optionally, after described the step of first pixel is determined as a speck, further includes:
Repeat described one the first pixel of selection from the coordinate of the pixel for meeting presetted pixel value
Step, until traversing all pixels for meeting presetted pixel value.
Optionally, the step of binary conversion treatment being carried out to the images to be recognized for completing denoising, comprising:
Traversal completes the pixel of the images to be recognized of denoising, by the picture for the pixel that each pixel value is 0
Plain value is set as 255, sets 0 for the pixel value that each pixel value is non-zero pixel.
Optionally, described the step of denoising is carried out to images to be recognized, comprising:
Denoising is filtered to the images to be recognized using Gaussian filter；
Threshold denoising processing is carried out to the images to be recognized for completing filtering and noise reduction processing.
Optionally, the step of described pair of images to be recognized for completing filtering and noise reduction processing carries out threshold denoising processing,
Include:
Traversal completes each pixel in the images to be recognized of filtering and noise reduction processing, meets presetted pixel for each
The pixel value of the pixel of threshold value carries out reversed；Each pixel value for not meeting the presetted pixel threshold value is kept into initial value.
According to a second aspect of the embodiments of the present invention, a kind of identification device of speck on image, described device packet are provided
It includes:
Denoising module, for carrying out denoising to images to be recognized；
Binary processing module, for carrying out binary conversion treatment to the images to be recognized for completing denoising；
Identification module, for identifying speck from the images to be recognized for completing binary conversion treatment.
According to a third aspect of the embodiments of the present invention, a kind of identification device of speck on image, described device packet are provided
Include: memory and processor, the memory is for storing instruction；Described instruction is operated for controlling the processor,
To execute the recognition methods of speck on the image as described in any one of first aspect present invention.
According to a fourth aspect of the embodiments of the present invention, a kind of computer storage medium is provided, computer is stored thereon with
Program, the computer program are realized when being executed by processor on the image as described in any one of first aspect present invention
The recognition methods of speck.
A beneficial effect of the invention is, can identify the speck in image.
By referring to the drawings to the detailed description of exemplary embodiment of the present invention, other feature of the invention and its
Advantage will become apparent.
Detailed description of the invention
It is combined in the description and the attached drawing for constituting part of specification shows the embodiment of the present invention, and even
With its explanation together principle for explaining the present invention.
Fig. 1 is the composed structure schematic diagram according to the client of the embodiment of the present invention.
Fig. 2 is the flow diagram of the recognition methods of speck on image according to an embodiment of the present invention.
Fig. 3 is the schematic diagram of images to be recognized.
Fig. 4 is the schematic diagram that the images to be recognized of filtering and noise reduction processing is completed in step 2100.
Fig. 5 is the schematic diagram that the images to be recognized of threshold denoising processing is completed in step 2100.
Fig. 6 is the schematic diagram of the induced current performance of imaging sensor in the picture.
Fig. 7 is schematic diagram of the image after binary conversion treatment in Fig. 6.
Fig. 8 is the schematic diagram that the images to be recognized of binary conversion treatment is completed in step 2200 of the present invention.
Fig. 9 is the schematic diagram of preset direction in step 2300 of the present invention.
Figure 10 is the structural schematic diagram of the identification device 3000 of speck on image according to the present invention.
Figure 11 is the hardware structural diagram of the identification device 4000 of speck on image according to another embodiment.
Specific embodiment
Carry out the various exemplary embodiments of detailed description of the present invention now with reference to attached drawing.It should also be noted that unless in addition having
Body explanation, the unlimited system of component and the positioned opposite of step, numerical expression and the numerical value otherwise illustrated in these embodiments is originally
The range of invention.
Be to the description only actually of at least one exemplary embodiment below it is illustrative, never as to the present invention
And its application or any restrictions used.
Technology, method and apparatus known to person of ordinary skill in the relevant may be not discussed in detail, but suitable
In the case of, the technology, method and apparatus should be considered as part of specification.
It is shown here and discuss all examples in, any occurrence should be construed as merely illustratively, without
It is as limitation.Therefore, other examples of exemplary embodiment can have different values.
It should also be noted that similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined in a attached drawing, then in subsequent attached drawing does not need that it is further discussed.
In the following, describing each embodiment according to an embodiment of the present invention and example with reference to the accompanying drawings.
<hardware configuration>
Fig. 1 is the block diagram for showing the hardware configuration for the client 1000 that can be used for realizing the embodiment of the present invention.
According to Fig. 1, the client 1000 of the present embodiment can be portable computer, desktop computer, tablet computer
Deng.
As shown in Figure 1, client 1000 may include processor 1010, memory 1020, interface arrangement 1030, communication dress
Set 1040, display device 1050, input unit 1060, loudspeaker 1070, microphone 1080, etc..
Wherein, processor 1010 can be central processor CPU, Micro-processor MCV etc..Memory 1020 for example including
ROM (read-only memory), RAM (random access memory), nonvolatile memory of hard disk etc..Interface arrangement 1030
It such as include USB interface, earphone interface.Communication device 1040 is for example able to carry out wired or wireless communication.Display device 1050
E.g. liquid crystal display, touch display screen etc..Input unit 1060 is such as may include touch screen, keyboard.User can be with
Pass through 1080 inputting/outputting voice information of loudspeaker 1070 and microphone.
In the embodiment, for storing instruction, which is used for control processor to the memory 1020 of client 1000
1010 are operated at least to execute the recognition methods of speck on the image of any embodiment according to the present invention.Those skilled in the art
Member is it will be appreciated that though be shown in FIG. 1 multiple devices of client 1000, and still, the present invention can only relate to therein
Partial devices, for example, client 1000 pertains only to memory 1020, processor 1010 and display device 1050.Technical staff
It can disclosed conceptual design instruction according to the present invention.How control processor is operated for instruction, this is it is known in the art that event
It is not described in detail herein.
<method>
Fig. 2 is the flow diagram of the recognition methods of speck on image according to an embodiment of the present invention.This method can be by
Client 1000 is implemented.
According to Fig.2, the recognition methods of speck may include: on the image of the present embodiment
Step 2100, denoising is carried out to images to be recognized.
Wherein, the images to be recognized for example can be as shown in Figure 3.In this step, client 1000 to it is described to
When identifying that image carries out denoising, filtering and noise reduction processing can be first carried out, then carry out threshold denoising processing.
Specifically, Gaussian filter, which can be used, in client 1000 is filtered denoising to the images to be recognized.
For example, client 1000 traverses the corresponding pixel value of pixel each in the images to be recognized using the matrix of 3*3
It is multiplied, using the value after each pixel and 3*3 matrix multiple as the pixel value after filtering and noise reduction, removal is taken due to camera
Noise caused by master drawing piece is not sharp keen enough, to complete filtering and noise reduction processing, as shown in Figure 4.
After completing filtering and noise reduction processing, 1000 pairs of the client images to be recognized for completing filtering and noise reduction processing are carried out
Threshold denoising processing.Specifically, clarification of objective can be searched according to pre-, the upper limit and/or lower limit of presetted pixel threshold value are set,
Traversal completes each pixel in the images to be recognized of filtering and noise reduction processing, by each picture for meeting presetted pixel threshold value
The pixel value of vegetarian refreshments carries out reversed；Each pixel value for not meeting the presetted pixel threshold value is kept into initial value.
For example, pre- lookup target in the present embodiment is speck, this is default, and to look for clarification of objective be brightness, setting it is pre-
If the lower limit of pixel threshold is, for example, 155.As shown in figure 5, client traverses each pixel in the images to be recognized, by it
The pixel value of all pixels point of the middle pixel value greater than 155 carries out reversely, being set as 0 value, the institute by wherein pixel value less than 155
There is the pixel value of pixel to keep initial value.To prepare for the speck in prominent image in next step.
Step 2200, binary conversion treatment is carried out to the images to be recognized for completing denoising.
It should be noted that the induced current of imaging sensor shows it should is 0 value on pixel value under total darkness environment,
But in practical application, there are a dark current for imaging sensor, that is, the induced current performance of imaging sensor under total darkness environment
It is non-zero but relatively small value on pixel value, such as 9,16, etc., it can be different due to the difference of imaging sensor.
Such as shown in Fig. 6, grayish pixel, as image wherein is presented between black pixel point and white pixel point
The performance of the induced current of sensor in the picture shows the image carried out after binary conversion treatment to Fig. 6 in Fig. 7, can will
Speck is shown as perfect condition.
In the step 220, it is contemplated that the dark current of imaging sensor, the traversal of client 1000 complete denoising
The pixel of the images to be recognized, the pixel value by each pixel value for 0 pixel is set as 255, by each pixel value
It is set as 0 for the pixel value of non-zero pixel, it as shown in Figure 8, can be significantly aobvious by the speck in shown images to be recognized
Reveal and.
In step 2300, speck is identified from the images to be recognized for completing binary conversion treatment.
In this step, client 1000 traverses all pixels point in the images to be recognized, records all meet in advance
If the pixel of pixel value, is denoted as A.First pixel is selected from A, on the preset direction for judging first pixel
The pixel value of the second pixel whether meet the presetted pixel value.If satisfied, recording the coordinate of second pixel；It will
Second pixel executes the second pixel on the preset direction of judgement first pixel as the first pixel
The step of whether pixel value of point meets the presetted pixel value, until judging result is to be unsatisfactory for；If not satisfied, by all
One pixel is determined as a speck.
For example, presetted pixel value is 255 values, preset direction is, for example, eight directions shown in Fig. 9: upper and lower, left and right,
Upper left, lower-left, upper right and bottom right.Client 1000 judges corresponding pixel value to the pixel value of the pixel in each direction respectively
Whether meet 255 values, record the corresponding coordinate of the pixel if meeting, while continuing to use the pixel to eight default sides
To lookup, until on eight directions other than the pixel searched being exactly the pixel of 0 value, i.e., above-mentioned judgement knot
Fruit is when being unsatisfactory for, and client 1000 thinks that all pixels searched point forms a speck in flakes, that is, by all the
One pixel is determined as a speck.
Further, it can be indicated in the technological document of imaging sensor due to the size of pixel, client
1000 after being determined as a speck for the first all pixels, can also be according to the first pixels all in the speck
Quantity, the area size of the speck is calculated.Alternatively, client 1000 can also be according in the speck all first
The area size of the speck is calculated in the coordinate of pixel.
Further, client 1000 can also repeat to hold after all first pixels are determined as a speck
It goes above-mentioned the step of first pixel is selected from the coordinate of the pixel for meeting presetted pixel value, until traversal institute
There is the pixel for meeting presetted pixel value, obtain multiple specks, that is, client 1000 can determine the number of speck in image
Amount.
According to the recognition methods of speck on the image of the present embodiment, by carrying out denoising to images to be recognized；To complete
Binary conversion treatment is carried out at the images to be recognized of denoising, and from the images to be recognized for completing binary conversion treatment
It identifies speck, can identify the quantity of the speck and speck in image, and client is also based on pixel in speck
The quantity of point, is calculated the area size of speck.
<device>
Figure 10 is the structural schematic diagram of the identification device 3000 of speck on image according to the present invention.
According to Fig.10, the identification device 3000 of speck may include: denoising module 3100, two-value on the image
Change processing module 3200 and identification module 3300.
Denoising module 3100 can be used for carrying out denoising to images to be recognized.
Binary processing module 3200 can be used for carrying out at binaryzation the images to be recognized for completing denoising
Reason.
Identification module 3300 can be used for identifying speck from the images to be recognized for completing binary conversion treatment.
Wherein, the identification module 3300 specifically can be used for: traversing all pixels point in the images to be recognized, remembers
Record the coordinate of all pixels for meeting presetted pixel value；One first is selected from the pixel for meeting presetted pixel value
Pixel, judges whether the pixel value of the second pixel on the preset direction of first pixel meets the presetted pixel
Value；If satisfied, recording the coordinate of second pixel；Using second pixel as the first pixel, sentence described in execution
The step of whether pixel value of the second pixel on the preset direction of first pixel of breaking meets the presetted pixel value,
Until judging result is to be unsatisfactory for；If not satisfied, all first pixels are determined as a speck.
Further, the identification module 3300 can be also used for the number according to the first pixels all in the speck
Amount, is calculated the area size of the speck.
Further, the identification module 3300 can be also used for repeating described from the presetted pixel value that meets
The operation of first pixel is selected in the coordinate of pixel, until traversing all pixels for meeting presetted pixel value
Point.
Specifically, the binary processing module 3200 is used to traverse the picture for the images to be recognized for completing denoising
Vegetarian refreshments, the pixel value by each pixel value for 0 pixel are set as 255, are the pixel of non-zero pixel by each pixel value
Value is set as 0.
The images to be recognized is carried out specifically, the denoising module 3100 is used for Gaussian filter
Filtering and noise reduction processing；Threshold denoising processing is carried out to the images to be recognized for completing filtering and noise reduction processing.
Wherein, 3100 pairs of the denoising module images to be recognized progress threshold values for completing filtering and noise reduction processing are gone
It makes an uproar processing, can specifically traverse each pixel in the images to be recognized for completing filtering and noise reduction processing, meet each
The pixel value of the pixel of presetted pixel threshold value carries out reversed；Each pixel value for not meeting the presetted pixel threshold value is kept
Initial value.
The identification device of speck on the image of the present embodiment, can be used for executing the technical solution of above method embodiment,
The realization principle and technical effect are similar, and details are not described herein again.
Figure 11 is the hardware structural diagram of the identification device 4000 of speck on image according to another embodiment.
According to Figure 11, the identification device 4000 of speck may include memory 4200 and place on the image of the present embodiment
Manage device 4100.
For storing instruction, which is operated for control processor 4100 to execute the present invention and appoint memory 4200
The recognition methods of speck on the image for embodiment of anticipating.
Technical staff can disclosed conceptual design instruction according to the present invention.How control processor is operated for instruction,
This is it is known in the art that therefore being not described in detail herein.
<computer storage medium>
In the present embodiment, a kind of computer storage medium is also provided, is stored thereon with computer program, the computer journey
Sequence realizes the recognition methods of speck on the image as described in above method embodiment when being executed by processor.
It, can be by software, hardware and software and hard it will be appreciated by those skilled in the art that in electronic technology field
The above method is embodied those skilled in the art in the product and is easy to the side based on inventive embodiments above by the mode that part combines
Method, generates a kind of information processing unit, and the information processing unit includes for executing the information processing according to above-described embodiment
The module of each operation in method.
It is well known by those skilled in the art that the development of the electronic information technology with such as large scale integrated circuit technology
With the trend of hardware and software, clearly to divide computer system soft and hardware boundary has seemed relatively difficult.Because appointing
What operation can be realized with software, can also be realized by hardware.The execution of any instruction can be completed by hardware, equally may be used
To be completed by software.Hardware implementations or software implement scheme are used for a certain machine function, depend on price, speed
The Non-technical factors such as degree, reliability, memory capacity, change cycle.For the technician, software realization mode and hardware
It is achieved in that equivalent.Technical staff can according to need selection software or hardware to realize above scheme.Therefore, here not
Specific software or hardware are limited.
The present invention can be equipment, method and/or computer program product.Computer program product may include computer
Readable storage medium storing program for executing, containing for making processor realize the computer-readable program instructions of various aspects of the invention.
Computer readable storage medium, which can be, can keep and store the tangible of the instruction used by instruction execution equipment
Equipment.Computer readable storage medium for example can be-- but it is not limited to-- storage device electric, magnetic storage apparatus, optical storage
Equipment, electric magnetic storage apparatus, semiconductor memory apparatus or above-mentioned any appropriate combination.Computer readable storage medium
More specific example (non exhaustive list) includes: portable computer diskette, hard disk, random access memory (RAM), read-only deposits
It is reservoir (ROM), erasable programmable read only memory (EPROM or flash memory), static random access memory (SRAM), portable
Compact disk read-only memory (CD-ROM), digital versatile disc (DVD), memory stick, floppy disk, mechanical coding equipment, for example thereon
It is stored with punch card or groove internal projection structure and the above-mentioned any appropriate combination of instruction.Calculating used herein above
Machine readable storage medium storing program for executing is not interpreted that instantaneous signal itself, the electromagnetic wave of such as radio wave or other Free propagations lead to
It crosses the electromagnetic wave (for example, the light pulse for passing through fiber optic cables) of waveguide or the propagation of other transmission mediums or is transmitted by electric wire
Electric signal.
Computer-readable program instructions as described herein can be downloaded to from computer readable storage medium it is each calculate/
Processing equipment, or outer computer or outer is downloaded to by network, such as internet, local area network, wide area network and/or wireless network
Portion stores equipment.Network may include copper transmission cable, optical fiber transmission, wireless transmission, router, firewall, interchanger, gateway
Computer and/or Edge Server.Adapter or network interface in each calculating/processing equipment are received from network to be counted
Calculation machine readable program instructions, and the computer-readable program instructions are forwarded, for the meter being stored in each calculating/processing equipment
In calculation machine readable storage medium storing program for executing.
Computer program instructions for executing operation of the present invention can be assembly instruction, instruction set architecture (ISA) instructs,
Machine instruction, machine-dependent instructions, microcode, firmware instructions, condition setup data or with one or more programming languages
The source code or object code that any combination is write, the programming language include the programming language-of object-oriented such as
Smalltalk, C++ etc., and conventional procedural programming languages-such as " C " language or similar programming language.Computer
Readable program instructions can be executed fully on the user computer, partly execute on the user computer, be only as one
Vertical software package executes, part executes on the remote computer or completely in remote computer on the user computer for part
Or it is executed on server.In situations involving remote computers, remote computer can pass through network-packet of any kind
It includes local area network (LAN) or wide area network (WAN)-is connected to subscriber computer, or, it may be connected to outer computer (such as benefit
It is connected with ISP by internet).In some embodiments, by utilizing computer-readable program instructions
Status information carry out personalized customization electronic circuit, such as programmable logic circuit, field programmable gate array (FPGA) or can
Programmed logic array (PLA) (PLA), the electronic circuit can execute computer-readable program instructions, to realize each side of the invention
Face.
Referring herein to according to the method for the embodiment of the present invention, the flow chart of device (system) and computer program product and/
Or block diagram describes various aspects of the invention.It should be appreciated that flowchart and or block diagram each box and flow chart and/
Or in block diagram each box combination, can be realized by computer-readable program instructions.
These computer-readable program instructions can be supplied to general purpose computer, special purpose computer or other programmable datas
The processor of processing unit, so that a kind of machine is produced, so that these instructions are passing through computer or other programmable datas
When the processor of processing unit executes, function specified in one or more boxes in implementation flow chart and/or block diagram is produced
The device of energy/movement.These computer-readable program instructions can also be stored in a computer-readable storage medium, these refer to
It enables so that computer, programmable data processing unit and/or other equipment work in a specific way, thus, it is stored with instruction
Computer-readable medium then includes a manufacture comprising in one or more boxes in implementation flow chart and/or block diagram
The instruction of the various aspects of defined function action.
Computer-readable program instructions can also be loaded into computer, other programmable data processing units or other
In equipment, so that series of operation steps are executed in computer, other programmable data processing units or other equipment, to produce
Raw computer implemented process, so that executed in computer, other programmable data processing units or other equipment
Instruct function action specified in one or more boxes in implementation flow chart and/or block diagram.
The flow chart and block diagram in the drawings show the system of multiple embodiments according to the present invention, method and computer journeys
The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation
One module of table, program segment or a part of instruction, the module, program segment or a part of instruction include one or more use
The executable instruction of the logic function as defined in realizing.In some implementations as replacements, function marked in the box
It can occur in a different order than that indicated in the drawings.For example, two continuous boxes can actually be held substantially in parallel
Row, they can also be executed in the opposite order sometimes, and this depends on the function involved.It is also noted that block diagram and/or
The combination of each box in flow chart and the box in block diagram and or flow chart, can the function as defined in executing or dynamic
The dedicated hardware based system made is realized, or can be realized using a combination of dedicated hardware and computer instructions.It is right
For those skilled in the art it is well known that, by hardware mode realize, by software mode realize and pass through software and
It is all of equal value that the mode of combination of hardware, which is realized,.
Various embodiments of the present invention are described above, above description is exemplary, and non-exclusive, and
It is not limited to disclosed each embodiment.Without departing from the scope and spirit of illustrated each embodiment, for this skill
Many modifications and changes are obvious for the those of ordinary skill in art field.The selection of term used herein, purport
In principle, the practical application or to the technological improvement in market for best explaining each embodiment, or make the art its
Its those of ordinary skill can understand each embodiment disclosed herein.The scope of the present invention is defined by the appended claims.
Claims (10)
1. the recognition methods of speck on a kind of image, which is characterized in that the described method includes:
Denoising is carried out to images to be recognized；
Binary conversion treatment is carried out to the images to be recognized for completing denoising；
Speck is identified from the images to be recognized for completing binary conversion treatment.
2. the method according to claim 1, wherein described from the images to be recognized for completing binary conversion treatment
In the step of identifying speck, comprising:
The all pixels point in the images to be recognized is traversed, the coordinate of all pixels for meeting presetted pixel value is recorded；
First pixel is selected from the pixel for meeting presetted pixel value, judges the default of first pixel
Whether the pixel value of the second pixel on direction meets the presetted pixel value；
If satisfied, recording the coordinate of second pixel；
Using second pixel as the first pixel, the on the preset direction of judgement first pixel is executed
Whether the pixel value of two pixels meets the step of presetted pixel value, until judging result is to be unsatisfactory for；
If not satisfied, all first pixels are determined as a speck.
3. according to the method described in claim 2, it is characterized in that, described be determined as a speck for first pixel
After step, further includes:
According to the quantity of the first pixels all in the speck, the area size of the speck is calculated.
4. according to the method described in claim 2, it is characterized in that, described be determined as a speck for first pixel
After step, further includes:
Described the step of first pixel is selected from the coordinate of the pixel for meeting presetted pixel value is repeated,
Until traversing all pixels for meeting presetted pixel value.
5. the method according to claim 1, wherein carrying out two to the images to be recognized for completing denoising
The step of value is handled, comprising:
Traversal completes the pixel of the images to be recognized of denoising, by the pixel value for the pixel that each pixel value is 0
255 are set as, sets 0 for the pixel value that each pixel value is non-zero pixel.
6. the method according to claim 1, wherein it is described to images to be recognized carry out denoising the step of,
Include:
Denoising is filtered to the images to be recognized using Gaussian filter；
Threshold denoising processing is carried out to the images to be recognized for completing filtering and noise reduction processing.
7. according to the method described in claim 6, it is characterized in that, described pair is completed the figure to be identified that filtering and noise reduction is handled
As the step of carrying out threshold denoising processing, comprising:
Traversal completes each pixel in the images to be recognized of filtering and noise reduction processing, meets presetted pixel threshold value for each
Pixel pixel value carry out it is reversed；Each pixel value for not meeting the presetted pixel threshold value is kept into initial value.
8. the identification device of speck on a kind of image, which is characterized in that described device includes:
Denoising module, for carrying out denoising to images to be recognized；
Binary processing module, for carrying out binary conversion treatment to the images to be recognized for completing denoising；
Identification module, for identifying speck from the images to be recognized for completing binary conversion treatment.
9. the identification device of speck on a kind of image, which is characterized in that described device includes: memory and processor, described to deposit
Reservoir is for storing instruction；Described instruction is operated for controlling the processor, to execute as any in claim 1-7
The recognition methods of speck on image described in one.
10. a kind of computer storage medium, which is characterized in that be stored thereon with computer program, the computer program is in quilt
The recognition methods of speck on the image as described in any one of claim 1-7 is realized when processor executes.
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