CN107895384A - Target extraction method and device - Google Patents
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- CN107895384A CN107895384A CN201711249429.4A CN201711249429A CN107895384A CN 107895384 A CN107895384 A CN 107895384A CN 201711249429 A CN201711249429 A CN 201711249429A CN 107895384 A CN107895384 A CN 107895384A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10032—Satellite or aerial image; Remote sensing
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Abstract
The embodiment of the present application discloses a kind of target extraction method and device, preferred dimension is less than the sliding window of 10*10 pixels, slided according to preset sliding type on the image with deep space background, to have the region of above-mentioned size to travel through to the part in image, and calculate the brightness sum of all pixels in each region traveled through；The region region maximum with value being defined as where target.Because the size in each region is less than 10*10 pixels, therefore, it is typically not in energy problem of non-uniform in the region, thus this method will not be influenceed by the imaging inhomogeneities of optical system substantially, and the size of salt-pepper noise is less than 2*2 pixels, and distribution is relatively scattered, therefore, calculates the brightness in the region and can effectively suppress influence of the salt-pepper noise to extraction target.So as to realize the stable extraction target from the image of deep space background.
Description
Technical field
The application is related to survey of deep space applied technical field, more specifically to the mesh in a kind of deep space background image
Mark extracting method and device.
Background technology
Earth's orbit is by a large amount of satellite rings around in order to grasp each satellite in the running track in space, it is necessary to utilize ground
Optical measuring apparatus is monitored measurement to satellite, to control the current multidate information of satellite.This relates to deep space target carry
Technology is taken, deep space Objective extraction technology is exactly to obtain the image with deep space background by optical measuring apparatus, with deep space
The process of the extracting target from images of background.
And optical measuring apparatus to deep space target measurement when, there is the image of deep space background using collection optical system, but
There is the problem of imaging inhomogeneities in optical system, cause image local position to be imaged defocus, and the imaging energy of local location
Phenomena such as amount diverging, while when the low-light camera in optical system is imaged under night deep space background, background noise (such as make an uproar by the spiced salt
Sound etc.) seriously, and in the image with deep space background, target is generally more small and weak, and this is just from the image with deep space background
Middle stable extraction target increase difficulty.
Therefore, how to realize that stable extraction target turns into urgent problem to be solved from the image with deep space background.
The content of the invention
The purpose of the application is to provide a kind of target extraction method and device, to realize from the image with deep space background
Stable extraction target.
To achieve the above object, this application provides following technical scheme：
A kind of target extraction method, including：
The image with deep space background is obtained, and the size of sliding window, the size of the sliding window are less than 10*10
Pixel, and it is more than 2*3 pixels；
The sliding window is slided on the image according to preset sliding type, with described image, part has
The region for having the size is traveled through, and calculates the brightness sum of all pixels in each region traveled through；
The region region maximum with value being defined as where target.
The above method, it is preferred that described to slide the sliding window on the image according to preset sliding type, bag
Include：
By the sliding window respectively described image horizontally and vertically on slide, the sliding window
Sliding step is two pixels.
The above method, it is preferred that described to slide the sliding window on the image according to preset sliding type, bag
Include：
By the sliding window respectively described image horizontally and vertically on slide, wherein, the slip
Window it is described horizontally and vertically in one of them side's upward sliding when, sliding step is a pixel, described
Sliding window it is described horizontally and vertically in another side's upward sliding when, sliding step is two pixels.
A kind of Objective extraction device, including：
Acquisition module, for obtaining the image with deep space background, and the size of sliding window, the sliding window
Size is less than 10*10 pixels, and is more than 2*3 pixels；
Computing module, for sliding the sliding window on the image according to preset sliding type, with to described
In image, the region partly with the size is traveled through, and calculates the brightness of all pixels in each region traveled through
Sum；
Determining module, for the region being defined as the region maximum with value where target.
Said apparatus, it is preferred that the computing module according to preset sliding type by the sliding window in the figure
As being specifically used for during upper slip,
By the sliding window respectively described image horizontally and vertically on slide, the sliding window
Sliding step is two pixels.
Said apparatus, it is preferred that the computing module according to preset sliding type by the sliding window in the figure
As being specifically used for during upper slip,
By the sliding window respectively described image horizontally and vertically on slide, wherein, the slip
Window it is described horizontally and vertically in one of them side's upward sliding when, sliding step is a pixel, described
Sliding window it is described horizontally and vertically in another side's upward sliding when, sliding step is two pixels.
By above scheme, a kind of target extraction method and device that the application provides, preferred dimension are less than 10*10
The sliding window of pixel, slided according to preset sliding type on the image with deep space background, to have to the part in image
The region for having the size is traveled through, and calculates the brightness sum of all pixels in each region traveled through；Will be with value most
Big region is defined as the region where target.Because the size in each region is less than 10*10 pixels, therefore, one in the region
As be not in energy problem of non-uniform, thus this method will not be influenceed by the imaging inhomogeneities of optical system substantially,
And the size of salt-pepper noise is less than 2*2 pixels, and it is distributed and relatively disperses, therefore, calculates the brightness in the region and can effectively press down
Influence of the salt-pepper noise processed to extraction target.So as to realize the stable extraction target from the image with deep space background.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is a kind of implementation process figure for the target extraction method that the embodiment of the present application provides；
Fig. 2 is a kind of exemplary plot that the sliding window that the embodiment of the present application provides slides on image；
Fig. 3 be the embodiment of the present application provide sliding window image be slide another exemplary plot；
Fig. 4 is a kind of structural representation for the Objective extraction device that the embodiment of the present application provides.
Term " first ", " second ", " the 3rd " " the 4th " in specification and claims and above-mentioned accompanying drawing etc. (if
In the presence of) it is for distinguishing similar part, without for describing specific order or precedence.It should be appreciated that so use
Data can exchange in the appropriate case, so that embodiments herein described herein can be with except illustrating herein
Order in addition is implemented.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other under the premise of creative work is not paid
Embodiment, belong to the scope of protection of the invention.
Referring to Fig. 1, Fig. 1 is a kind of implementation process figure for the target extraction method that the application provides, can include：
Step S11：Obtaining has the image of deep space background, and the size of sliding window, the size of the sliding window are small
In 10*10 pixels, and it is more than 2*3 pixels.
Image with deep space background refers to that the image is the imaging under deep space background by optical system, in the image
Target is usually satellite, deep space probing equipment etc..
In the embodiment of the present application, the size of sliding window is specified to be artificial, is divided to the image with deep space background
Before analysis, the pixel count that can be occupied by target in artificial process decision chart picture, the minimum of pixel count occupied by the target then will be included
Size of the size of rectangular area as sliding window.
In an optional embodiment, a default size can be preset, when needs are to the image with deep space background
When being analyzed, the default size is shown, if the size for manually judging sliding window is default size, or, manually it is difficult to really
When determining the size of sliding window, default size can not be modified, directly using the default size, reduce artificial behaviour
Make, improve Objective extraction efficiency.If manually judging, the size of sliding window is different from the size given tacit consent to, and the default size is entered
Row revision, to improve Objective extraction precision.Wherein, default size can be 5*5 pixels, or, 4*6 pixels, or, 6*4 pictures
Element, or, 4*4 pixels, or, 6*6 pixels.
Step S12：Sliding window is slided on the image of acquisition according to preset sliding type, with image, part
Region with above-mentioned size is traveled through, and calculates the brightness sum of all pixels in each region traveled through.
In the embodiment of the present application, only the subregion in image is analyzed, specifically in analysis, often traverses one
Region, calculate the brightness sum of all pixels in the region.
Step S13：The region region maximum with value being defined as where target, realizes Objective extraction.
The target extraction method that the application provides, preferred dimension is less than the sliding window of 10*10 pixels, according to preset slip
Mode is slided on the image with deep space background, to have the region of the size to travel through to the part in image, and
Calculate the brightness sum of all pixels in each region traveled through；The area region maximum with value being defined as where target
Domain.Typically be not in therefore, in the region energy problem of non-uniform because the size in each region is less than 10*10 pixels, because
And this method will not be influenceed by the imaging inhomogeneities of optical system substantially, and the size of salt-pepper noise is less than 2*2 pixels,
And distribution is relatively scattered, therefore, calculates the brightness in the region and can effectively suppress influence of the salt-pepper noise to extraction target.From
And realize the stable extraction target from the image of deep space background.
In above-described embodiment, optionally, above-mentioned one kind for sliding sliding window on image according to preset sliding type
Implementation can be：
By sliding window respectively image horizontally and vertically on slide, the sliding step of sliding window is two
Individual pixel.
A kind of as shown in Fig. 2 exemplary plot slided for the sliding window that the embodiment of the present application provides on image.The example
In, illustrated so that the size of sliding window is 6*6 pixels as an example.
In Fig. 2 a figures, the upper left position of the initial position, i.e. deep space background image of sliding window is shown, is being calculated
The brightness of pixel and afterwards in the sliding window of the complete position, sliding window is slided to the right two pixels, obtains next cunning
The position of dynamic window, as shown in Fig. 2 b figures, the brightness of pixel and is afterwards calculated in the sliding window of the position, continuation is to the right
Two pixels are slided, by that analogy, until sliding window slides into the low order end of the image of deep space background, as Fig. 2 c schemes institute
Show, the brightness of pixel and afterwards in the sliding window for calculated the position, sliding window is moved down into two pixels, and from
The high order end of the image of deep space background starts to slide, as shown in Fig. 2 d figures, the pixel in the sliding window for calculated the position
Brightness and afterwards, sliding window is slided to the right to two pixels, obtains the position of next sliding window, as Fig. 2 e schemes institute
Show, calculated in the sliding window of the position brightness of pixel and afterwards, continued to slide two pixels to the right, by that analogy, directly
The last cell of the image of deep space background is slided into sliding window, as shown in Fig. 2 f figures, calculates the sliding window of the position
The brightness of middle pixel and, so far, whole image traversal complete.
In the embodiment of the present application, the sliding step of sliding window is two pixels, is ensureing the same of the precision of Objective extraction
When, improve Objective extraction speed.
In another optional embodiment, above-mentioned one kind for sliding sliding window on image according to preset sliding type
Implementation can be：
By sliding window respectively the image of deep space background horizontally and vertically on slide, wherein, sliding window
Mouth both horizontally and vertically in one of them side's upward sliding when, sliding step is a pixel, and sliding window exists
During another side's upward sliding in horizontally and vertically, sliding step is two pixels.
That is, when sliding window slides in the horizontal direction, sliding step is a pixel；Sliding window is in Vertical Square
During upward sliding, sliding step is two pixels.Or sliding window, when sliding in the horizontal direction, sliding step is two pictures
Element；When sliding window slides in vertical direction, sliding step is a pixel.
As shown in figure 3, for the embodiment of the present application provide sliding window image be slide another exemplary plot.This shows
In example, it is assumed that the size of sliding window is 5*5 pixels, and when sliding window slides in the horizontal direction, sliding step is a picture
Element, when sliding window slides in vertical direction, sliding step is two pixels.
In Fig. 3 a figures, the upper left position of the initial position, i.e. deep space background image of sliding window is shown, is being calculated
The brightness of pixel and afterwards in the sliding window of the complete position, sliding window is slided to the right a pixel, obtains next cunning
The position of dynamic window, as shown in Fig. 2 b figures, the brightness of pixel and is afterwards calculated in the sliding window of the position, continuation is to the right
A pixel is slided, by that analogy, until sliding window slides into the low order end of the image of deep space background, as Fig. 2 c schemes institute
Show, the brightness of pixel and afterwards in the sliding window for calculated the position, sliding window is moved down into two pixels, and from
The high order end of the image of deep space background starts to slide, as shown in Fig. 2 d figures, the pixel in the sliding window for calculated the position
Brightness and afterwards, sliding window is slided to the right to a pixel, obtains the position of next sliding window, as Fig. 2 e schemes institute
Show, calculated in the sliding window of the position brightness of pixel and afterwards, continued to slide a pixel to the right, by that analogy, directly
The last cell of the image of deep space background is slided into sliding window, as shown in Fig. 2 f figures, calculates the sliding window of the position
The brightness of middle pixel and, so far, whole image traversal complete.
In the embodiment of the present application, the sliding step of sliding window is two pixels or a pixel, is ensureing that target carries
While the precision taken, Objective extraction speed is improved.
Corresponding with embodiment of the method, the application also provides a kind of Objective extraction device.The mesh that the embodiment of the present application provides
A kind of structural representation of extraction element is marked as shown in figure 4, can include：
Acquisition module 41, computing module 42 and determining module 43；Wherein,
Acquisition module 41 is used to obtain the image with deep space background, and the size of sliding window, the sliding window
Size is less than 10*10 pixels, and is more than 2*3 pixels.
Computing module 42 is used to slide sliding window on the image according to preset sliding type, with to deep space background
Image in, the region partly with above-mentioned size is traveled through, and calculates the bright of all pixels in each region for being traveled through
Spend sum.
Determining module 43 is used to for the region maximum with value to be defined as the region where target.
The Objective extraction device that the application provides, preferred dimension is less than the sliding window of 10*10 pixels, according to preset slip
Mode is slided on the image with deep space background, to have the region of the size to travel through to the part in image, and
Calculate the brightness sum of all pixels in each region traveled through；The area region maximum with value being defined as where target
Domain.Typically be not in therefore, in the region energy problem of non-uniform because the size in each region is less than 10*10 pixels, because
And this method will not be influenceed by the imaging inhomogeneities of optical system substantially, and the size of salt-pepper noise is less than 2*2 pixels,
And distribution is relatively scattered, therefore, calculates the brightness in the region and can effectively suppress influence of the salt-pepper noise to extraction target.From
And realize the stable extraction target from the image with deep space background.
In an optional embodiment, computing module 42 is sliding on image sliding window according to preset sliding type
When specifically can be used for,
By sliding window respectively image horizontally and vertically on slide, the sliding step of sliding window is two
Individual pixel.
In another optional embodiment, computing module 42 according to preset sliding type by sliding window on image it is sliding
When dynamic, specifically it can be used for,
By the sliding window respectively described image horizontally and vertically on slide, wherein, sliding window
During one of them side's upward sliding in both horizontally and vertically, sliding step is a pixel, and sliding window is in water
During square to another side's upward sliding in vertical direction, sliding step is two pixels.
Those of ordinary skill in the art are it is to be appreciated that the list of each example described with reference to the embodiments described herein
Member and algorithm steps, it can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
Performed with hardware or software mode, application-specific and design constraint depending on technical scheme.Professional and technical personnel
Described function can be realized using distinct methods to each specific application, but this realization is it is not considered that exceed
The scope of the present invention.
In several embodiments provided herein, it should be understood that disclosed systems, devices and methods, can be with
Realize by another way.Another, shown or discussed mutual coupling or direct-coupling or communication connection can
Can be electrical, mechanical or other forms to be by some interfaces, the INDIRECT COUPLING or communication connection of device or unit.
The unit illustrated as separating component can be or may not be physically separate, show as unit
The part shown can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On NE.Some or all of unit therein can be selected to realize the mesh of this embodiment scheme according to the actual needs
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, can also
That unit is individually physically present, can also two or more units it is integrated in a unit.
It should be appreciated that in the embodiment of the present application, combination can be combined with each other from power, each embodiment, feature, can be realized
Solves aforementioned technical problem.
If the function is realized in the form of SFU software functional unit and is used as independent production marketing or in use, can be with
It is stored in a computer read/write memory medium.Based on such understanding, technical scheme is substantially in other words
The part to be contributed to prior art or the part of the technical scheme can be embodied in the form of software product, the meter
Calculation machine software product is stored in a storage medium, including some instructions are causing a computer equipment (can be
People's computer, server, or network equipment etc.) perform all or part of step of each embodiment methods described of the present invention.
And foregoing storage medium includes：USB flash disk, mobile hard disk, read-only storage (ROM, Read-Only Memory), arbitrary access are deposited
Reservoir (RAM, Random Access Memory), magnetic disc or CD etc. are various can be with the medium of store program codes.
The foregoing description of the disclosed embodiments, professional and technical personnel in the field are enable to realize or using the present invention.
A variety of modifications to these embodiments will be apparent for those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, it is of the invention
The embodiments shown herein is not intended to be limited to, and is to fit to and principles disclosed herein and features of novelty phase one
The most wide scope caused.
Claims (6)
- A kind of 1. target extraction method, it is characterised in that including：The image with deep space background is obtained, and the size of sliding window, the size of the sliding window are less than 10*10 pictures Element, and it is more than 2*3 pixels；The sliding window is slided on the image according to preset sliding type, with described image, partly with institute The region for stating size is traveled through, and calculates the brightness sum of all pixels in each region traveled through；The region region maximum with value being defined as where target.
- 2. according to the method for claim 1, it is characterised in that described that the sliding window exists according to preset sliding type Slided in described image, including：By the sliding window respectively described image horizontally and vertically on slide, the slip of the sliding window Step-length is two pixels.
- 3. according to the method for claim 1, it is characterised in that described that the sliding window exists according to preset sliding type Slided in described image, including：By the sliding window respectively described image horizontally and vertically on slide, wherein, the sliding window It is described horizontally and vertically in one of them side's upward sliding when, sliding step is a pixel, the slip Window it is described horizontally and vertically in another side's upward sliding when, sliding step is two pixels.
- A kind of 4. Objective extraction device, it is characterised in that including：Acquisition module, for obtaining the image with deep space background, and the size of sliding window, the size of the sliding window Less than 10*10 pixels, and it is more than 2*3 pixels；Computing module, for sliding the sliding window on the image according to preset sliding type, with to described image In, the region partly with the size is traveled through, and calculates the brightness sum of all pixels in each region traveled through；Determining module, for the region being defined as the region maximum with value where target.
- 5. device according to claim 4, it is characterised in that the computing module is according to described in preset sliding type general It is specifically used for when sliding window slides on the image,By the sliding window respectively described image horizontally and vertically on slide, the slip of the sliding window Step-length is two pixels.
- 6. device according to claim 4, it is characterised in that the computing module is according to described in preset sliding type general It is specifically used for when sliding window slides on the image,By the sliding window respectively described image horizontally and vertically on slide, wherein, the sliding window It is described horizontally and vertically in one of them side's upward sliding when, sliding step is a pixel, the slip Window it is described horizontally and vertically in another side's upward sliding when, sliding step is two pixels.
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| CN201711249429.4A CN107895384A (en) | 2017-12-01 | 2017-12-01 | Target extraction method and device |
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| CN201711249429.4A CN107895384A (en) | 2017-12-01 | 2017-12-01 | Target extraction method and device |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103679740A (en) * | 2013-12-30 | 2014-03-26 | 中国科学院自动化研究所 | ROI (Region of Interest) extraction method of ground target of unmanned aerial vehicle |
| CN104835177A (en) * | 2015-05-29 | 2015-08-12 | 北京航空航天大学 | Star point segmentation method under interference of moonlight and FPGA device of star point segmentation method |
| CN105654516A (en) * | 2016-02-18 | 2016-06-08 | 西北工业大学 | Method for detecting small moving object on ground on basis of satellite image with target significance |
| JP2016158156A (en) * | 2015-02-25 | 2016-09-01 | パナソニックＩｐマネジメント株式会社 | Monitoring device and monitoring method |
| CN106780507A (en) * | 2016-11-24 | 2017-05-31 | 西北工业大学 | A kind of sliding window fast target detection method based on super-pixel segmentation |
-
2017
- 2017-12-01 CN CN201711249429.4A patent/CN107895384A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103679740A (en) * | 2013-12-30 | 2014-03-26 | 中国科学院自动化研究所 | ROI (Region of Interest) extraction method of ground target of unmanned aerial vehicle |
| JP2016158156A (en) * | 2015-02-25 | 2016-09-01 | パナソニックＩｐマネジメント株式会社 | Monitoring device and monitoring method |
| CN104835177A (en) * | 2015-05-29 | 2015-08-12 | 北京航空航天大学 | Star point segmentation method under interference of moonlight and FPGA device of star point segmentation method |
| CN105654516A (en) * | 2016-02-18 | 2016-06-08 | 西北工业大学 | Method for detecting small moving object on ground on basis of satellite image with target significance |
| CN106780507A (en) * | 2016-11-24 | 2017-05-31 | 西北工业大学 | A kind of sliding window fast target detection method based on super-pixel segmentation |
Non-Patent Citations (2)
| Title |
|---|
| 刘江伟: "基于模糊核自适应提取的图像复原技术", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
| 王大轶等: "《航天器自主导航技术》", 30 April 2017, 国防工业出版社 * |
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