CN107123146A - The mark localization method and system of a kind of scaling board image - Google Patents

The mark localization method and system of a kind of scaling board image Download PDF

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CN107123146A
CN107123146A CN201710165758.4A CN201710165758A CN107123146A CN 107123146 A CN107123146 A CN 107123146A CN 201710165758 A CN201710165758 A CN 201710165758A CN 107123146 A CN107123146 A CN 107123146A
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image
scaling board
mark
interest
profile
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黄涛
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Shenzhen Huahan Weiye Technology Co Ltd
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Shenzhen Huahan Weiye Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/80Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/136Segmentation; Edge detection involving thresholding
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/60Analysis of geometric attributes
    • G06T7/66Analysis of geometric attributes of image moments or centre of gravity
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20016Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Geometry (AREA)
  • Image Analysis (AREA)

Abstract

The invention discloses a kind of mark localization method of scaling board image and system, wherein, methods described to scaling board image by carrying out image pyramid layering;Binaryzation is proceeded by from top image, scaling board region and mark profile are searched in bianry image, if being continued search for if not searching in next tomographic image, to the last one layer or untill searching scaling board region and mark profile.The outsourcing rectangle of the mark profile in scaling board region is calculated in the pyramid diagram picture for search scaling board region, the outsourcing rectangle is mapped in the scaling board image, the centre coordinate of the area-of-interest comprising mark and calculation flag thing is obtained.It follows that beginning through Contour searching from the low-resolution image of top layer to find scaling board region and mark profile, the area-of-interest that can fast and accurately navigate to where the mark in image improves location efficiency.

Description

The mark localization method and system of a kind of scaling board image
Technical field
The present invention relates to technical field of machine vision, and in particular to the mark localization method and system of scaling board image.
Background technology
In industrial 4.0 epoch, accurate measurement and detection based on machine vision are a highly important research fields, no Pipe is that have this very wide application prospect in traditional manufacture or 3C electronics industry or aerospace field etc..Camera mark Surely it is the basis that machine vision obtains accurate measurement data, camera calibration is by between world coordinate system and image coordinate system Corresponding relation solves camera internal parameter and the process of external parameter, and the accuracy of actual measurement data is dependent in camera The accuracy of portion's parameter and external parameter, then after all corresponding between one group of accurate world coordinate system and image coordinate system Relation is the accurate primary factor of camera calibration.
The scaling board image that usual precision machined plane target drone and camera are gathered be used to determine two coordinate systems it Between corresponding relation, due to the target based on circle marker thing relative to based on tessellated target have more preferable fault-tolerance with More superior applicability, so prior art uses circle marker thing target, i.e., sets the M of equidistantly distributed on plane target drone Individual filled circles.The actual physics coordinate (world coordinate system, unit is mm) in the circle marker thing center of circle is artificially to set on plane target drone It is fixed, ensure precision by Precision Machining, and the pixel coordinate in the scaling board Circle in Digital Images shape mark center of circle of camera collection (image coordinate system, unit is pixel) is obtained by image processing algorithm, and acquisition precision also depends primarily on mark and determined The accuracy of position algorithm.
Current existing mark location algorithm mostly carries out the edge extracting or wheel of sub-pix to scaling board image artwork Exterior feature is extracted, and carries out ellipse fitting to extract center of circle image coordinate, although can accurately be extracted central coordinate of circle, but be still suffered from following Some is not enough:Scaling board image artwork is operated, efficiency of algorithm is relatively low when for high-resolution scaling board image, run Time is long;When carrying out sub-pixel edge or contours extract, parameter setting is more, and tuning parameter repeatedly is needed during demarcation, for debugging Personnel specialty requested knowledge is higher;It is higher to the image quality requirements of scaling board image, it is very quick to noise and illumination effect etc. Sense, robustness is not strong.
Therefore, prior art has much room for improvement and improved.
The content of the invention
The application provides the mark localization method and system of a kind of scaling board image, to lift the effect of mark positioning Rate.
According to the first aspect of the invention, the present invention provides a kind of mark localization method of scaling board image, including such as Lower step:
Image layered step, the golden word of image is carried out to the scaling board image according to the resolution ratio of the scaling board image collected Tower is layered, to obtain the pyramid diagram picture of each layer;
Step is performed, Contour searching step is performed to lower floor successively since the pyramid diagram picture of top layer, until current Layer pyramid diagram is as untill searching scaling board region and mark profile in corresponding bianry image;When in current layer pyramid When scaling board region and mark profile are searched in the corresponding bianry image of image, positioning step is performed;
Contour searching step, carries out image binaryzation processing to current layer pyramid diagram picture, obtains current layer pyramid diagram As corresponding bianry image, scaling board region and mark profile are searched in the bianry image;
Positioning step, calculates the mark profile in scaling board region in the pyramid diagram picture for search scaling board region Outsourcing rectangle, the outsourcing rectangle is mapped in the scaling board image, obtain comprising mark area-of-interest simultaneously The centre coordinate of calculation flag thing.
The mark localization method of described scaling board image, wherein, the execution step also includes:
When not searching scaling board region and mark profile yet in the corresponding bianry image of pyramid bottom image, The positioning failure of determination flag thing.
The mark localization method of described scaling board image, wherein, the Contour searching step, including:
Automatic two-value subslep, uses automatic threshold segmentation method to carry out image two-value on the pyramid diagram picture of current layer Change is handled, and obtains bianry image;
Searching sub-step, Contour searching is carried out to obtained bianry image;
Judge sub-step, judge whether the outline searched includes the Internal periphery of predetermined number, the chi of the Internal periphery It is very little whether all in the range of pre-set dimension;If so, then judging region that the outline included as scaling board region, Internal periphery For mark profile;If it is not, then entering progressively two-value subslep;
Progressively two-value subslep, in predetermined threshold value is interval, is spaced predetermined interval value to choose gray scale threshold from small to large Value, often chooses a gray threshold, then enters row threshold division to the pyramid diagram picture of current layer with the gray threshold, obtains correspondence Bianry image, and searching sub-step is returned to, untill traversal predetermined threshold value is interval.
The mark localization method of described scaling board image, wherein, the searching sub-step, including:
Body corrosion treatment is done to obtained bianry image, and Contour searching is carried out to the bianry image after corrosion;Its In, depending on the level of the template size size of corrosion according to pyramid diagram picture.
The mark localization method of described scaling board image, wherein, the positioning step, including:
The outsourcing of all mark profiles in scaling board region is calculated in the pyramid diagram picture for search scaling board region Rectangle, the outsourcing rectangle is mapped in the scaling board image, is obtained including the area-of-interest of mark, is each felt emerging Interesting region correspondence includes a mark;
Pretreatment is filtered using the filtering method at holding edge to each area-of-interest;
Image binaryzation processing is carried out using automatic threshold segmentation method to each area-of-interest, and calculated at binaryzation The barycenter of the mark in area-of-interest after reason, a certain summit of the barycenter navigated to and area-of-interest is overlapped Processing can obtain position coordinates of the center of mark in the scaling board image.
According to the second aspect of the invention, the present invention provides a kind of mark alignment system of scaling board image, wherein, bag Include:
Image layered module, image is carried out for the resolution ratio according to the scaling board image collected to the scaling board image Pyramid technology, to obtain the pyramid diagram picture of each layer;
Performing module, for being handled successively the pyramid diagram picture of top layer to bottom by Contour searching module, directly Scaling board region and mark profile are searched in current layer pyramid diagram is as corresponding bianry image to Contour searching module Untill;When Contour searching module in current layer pyramid diagram as corresponding bianry image in search scaling board region and mark During profile, mark is positioned by locating module;
Contour searching module, for carrying out image binaryzation processing to current layer pyramid diagram picture, obtains the golden word of current layer The corresponding bianry image of tower image, searches for scaling board region and mark profile in the bianry image;
Locating module, for calculating the mark in scaling board region in the pyramid diagram picture for search scaling board region The outsourcing rectangle of profile, the outsourcing rectangle is mapped in the scaling board image, obtains including the region of interest of mark Domain and the centre coordinate of calculation flag thing.
The mark alignment system of described scaling board image, wherein, the performing module is additionally operable to:
Contour searching module do not searched yet in the corresponding bianry image of the pyramid bottom image scaling board region and During mark profile, the positioning failure of determination flag thing.
The mark alignment system of described scaling board image, wherein, the Contour searching module includes:
Automatic binarization unit, image two is carried out for the pyramid diagram picture to current layer using automatic threshold segmentation method Value is handled, and obtains bianry image;
Progressively binarization unit, the outline for being searched in search unit does not include the Internal periphery of predetermined number, institute When stating the size of Internal periphery not in the range of pre-set dimension, in predetermined threshold value is interval, predetermined interval value is spaced from small to large and is come Gray threshold is chosen, a gray threshold is often chosen, then carries out threshold value point to the pyramid diagram picture of current layer with the gray threshold Cut, obtain corresponding bianry image, untill traversal predetermined threshold value is interval;
Search unit, the bianry image for being obtained to automatic binarization unit carries out Contour searching;It is outer what is searched Profile does not include the Internal periphery of predetermined number, when the size of the Internal periphery is not in the range of pre-set dimension, successively to progressively two The bianry image that value unit is obtained carries out Contour searching;
Judging unit, it is described for judging whether outline that search unit is searched includes the Internal periphery of predetermined number Whether the size of Internal periphery is all in the range of pre-set dimension;If so, then judging region that the outline included as scaling board Region, Internal periphery is mark profile;If it is not, then starting progressively binarization unit.
The mark alignment system of described scaling board image, wherein, the search unit carries out profile in bianry image Before search, body corrosion treatment is first done to bianry image;Wherein, the template size size of corrosion according to pyramid diagram as Depending on level.
The mark alignment system of described scaling board image, wherein, the locating module, including:
Area-of-interest acquiring unit, for calculating scaling board region in the pyramid diagram picture for search scaling board region The outsourcing rectangle of interior all mark profiles, the outsourcing rectangle is mapped in the scaling board image, is obtained comprising mark The area-of-interest of thing, each area-of-interest correspondence includes a mark;
Filter unit, for being filtered pretreatment using the filtering method at holding edge to each area-of-interest;
Coordinate calculating unit, for being carried out to each area-of-interest using automatic threshold segmentation method at image binaryzation Reason, and the barycenter of the mark in the area-of-interest after binary conversion treatment is calculated, by the barycenter navigated to and area-of-interest A certain summit be overlapped processing and can obtain the position coordinates of the center of mark in the scaling board image.
Beneficial effects of the present invention:Image pyramid point is carried out to scaling board image using the down-sampled technology of image pyramid Layer, begins through Contour searching to find scaling board region and mark profile from the low-resolution image of top layer, can be quick Accurately the area-of-interest that navigates to where the mark in image, improves location efficiency, reduces debugging difficulty and not Influence positioning precision., can not only by being filtered pretreatment using the filtering method at holding edge to each area-of-interest Enough ensure the positioning precision of mark center, and improve the robustness of the reply phenomenon such as noise and uneven illumination.
Brief description of the drawings
In one embodiment of the mark alignment system for the scaling board image that Fig. 1 provides for the present invention, scaling board image Schematic diagram;
The structured flowchart of one embodiment of the mark alignment system for the scaling board image that Fig. 2 provides for the present invention;
In one embodiment of the mark alignment system for the scaling board image that Fig. 3 provides for the present invention, Contour searching module Structured flowchart;
The flow chart of the mark localization method for the scaling board image that Fig. 4 provides for the present invention;
The particular flow sheet of the mark localization method for the scaling board image that Fig. 5 provides for the present invention.
Embodiment
The present invention is described in further detail below by embodiment combination accompanying drawing.
The term definition used in the present invention:
Image pyramid is a kind of structure for carrying out interpretation of images with multiresolution.The pyramid of piece image be it is a series of with The image collection that the resolution ratio of Pyramid arrangement is gradually reduced.Pyramidal bottom diagram seems high-resolution expression, and Top is the expression of low resolution.
In area-of-interest (ROI, region of interest), machine vision, image procossing, from processed image Being sketched the contours of with modes such as square frame, circle, ellipse, irregular polygons needs to use rectangular box in region to be processed, the present embodiment.
The present invention carries out the image pyramid needed for calculating determination to the resolution dimensions of scaling board image (target image) The number of plies;It is down-sampled according to required number of plies progress image pyramid, and preserve each tomographic image;Two-value is proceeded by from top image Change, Morphological scale-space and determines whether to search target (scaling board) region and mark profile Contour searching, such as judge failure Then next tomographic image is scanned for judge, untill finding, all number of plies images has such as been searched for and has not all found scaling board area Domain, then determination flag thing positioning failure;Scaling board region is such as found, then extracts the profile of mark in scaling board region, and is counted Its boundary rectangle is calculated, four summits of each boundary rectangle are mapped in the scaling board image by pyramid, will be newly outer Rectangle is connect as area-of-interest (ROI);Noise and uneven illumination are eliminated using the filtering method at holding edge to each ROI Influence;Automatic threshold segmentation is carried out to the circle marker in each ROI to ask for barycenter to be accurately positioned the centre coordinate of mark.
Illustrated below by specific embodiment.In embodiment one, Fig. 1 and Fig. 2 are refer to, the present invention provides one kind The mark alignment system of scaling board image, including:Image layered module 10, performing module 20, Contour searching module 30 and fixed Position module 40.
Image layered module 10, for gathering scaling board image (as shown in Figure 1), according to the scaling board image collected Resolution ratio carries out image pyramid layering to the scaling board image, to obtain the pyramid diagram picture of each layer.Gather scaling board image It can be direct shooting scaling board image, the extraneous scaling board image transmitted can also be received.Gather after scaling board image, The down-sampled number of plies of the image pyramid according to needed for being calculated the resolution ratio of scaling board image.Calculation criterion is:Image pyramid drops The line number and/or columns of the top layer images of sampling cannot be below default minimum limitation line number Rmin.Counted since scaling board image Calculate, the line number and/or columns of current tomographic image are halved, the line number and/or columns of last layer image is obtained, until line number and/ Or columns is less than default minimum limitation line number RminUntill.Thus calculate and obtain pyramidal the number of plies N+1 layer, N for more than or equal to 1 integer.It is the 0th layer of pyramid, the i.e. bottom to provide scaling board image.
Image layered module 10 is additionally operable to, and the down-sampled n times of pyramid is carried out to the scaling board image, and every layer is sampled Image preserve.Specifically, the resolution ratio of scaling board image is reduced into original a quarter, (line number and columns reduce one Half) last layer (the 1st layer) pyramid diagram picture is obtained, then the resolution ratio of the obtain the 1st layer of pyramid diagram picture is reduced to original A quarter, obtains the 2nd layer of pyramid diagram picture, the rest may be inferred, until the line number and columns of pyramid diagram picture are less than RminUntill. That is, the line number and columns of the pyramid diagram picture of top layer (N+1 layers) are more than Rmin, its resolution ratio halve after image line number and Columns is less than Rmin。RminSpan be empirical value, specific scope is 65-127, in the present embodiment, RminValue is 100.
In practice, in order to avoid the visual field wastes and demarcated accurate, scaling board region has to account for entire image big Small more than 1/4, and pyramid is down-sampled that image can be all reduced to original 1/4, such as scaling board image resolution ratio every time For 2048*2048, the 1st time it is down-sampled after be 1024*1024, the 2nd time it is down-sampled after be 512*512, the 3rd time it is down-sampled after be 256*256, is 128*128 after the 4th is down-sampled, and when progress the 5th is down-sampled, image resolution ratio is reduced to 64*64, now The 5th layer of pyramid diagram picture it is too small so that it cannot find the profile of the outline and mark of scaling board.Therefore R is setmin's Scope can reduce unnecessary layering, and its specific scope, which is arranged on 65-127, can ensure the accuracy of follow-up Contour searching.
Performing module 20, for being located successively to the pyramid diagram picture of top layer to bottom by Contour searching module 30 Reason, until Contour searching module 30 searches scaling board region and mark in current layer pyramid diagram is as corresponding bianry image Untill thing profile;When Contour searching module 30 in current layer pyramid diagram as corresponding bianry image in search scaling board region And during mark profile, mark is positioned by locating module 40;Contour searching module 30 is in pyramid bottom figure As not searched yet in corresponding bianry image when scaling board region and mark profile, the positioning failure of determination flag thing.Due to The pixel of the pyramid diagram picture of top layer is minimum, and scaling board region and mark profile are searched for since the image of lowest resolution, The area-of-interest that can fast and accurately navigate to where the mark in image, improves location efficiency.
Mark can be that circle marker thing is used in circular, oval or other shapes of mark, the present embodiment, such as Shown in Fig. 1.
Contour searching module 30, for carrying out image binaryzation processing to current layer pyramid diagram picture, obtains current layer gold The corresponding bianry image of word tower image, searches for scaling board region and mark profile in the bianry image.Specifically, referring to Fig. 3, Contour searching module 30 includes:Automatic binarization unit 310, progressively binarization unit 340, search unit 320 and judgement Unit 330.
Automatic binarization unit 310, is schemed for the pyramid diagram picture to current layer using automatic threshold segmentation method As binary conversion treatment, bianry image is obtained.Automatic threshold segmentation method is included in Otsu methods, maximum entropy method (MEM) and Adaptive Thresholding One or more.
Progressively binarization unit 340, the outline for being searched in search unit 320 does not include the lubrication groove of predetermined number Exterior feature, when the size of the Internal periphery is not in the range of pre-set dimension, in predetermined threshold value interval (TminTo Tmax) in, from small to large between Gray threshold is chosen every predetermined interval value △ T, a gray threshold is often chosen, then with golden word of the gray threshold to current layer Tower image enters row threshold division, obtains corresponding bianry image, untill traversal predetermined threshold value is interval.Predetermined threshold value it is interval and Predetermined interval value △ T can be configured as needed.
Search unit 320, for first doing body corrosion treatment to the bianry image that automatic binarization unit 310 is obtained, Contour searching is carried out again;The Internal periphery of predetermined number is not included in the outline searched, the size of the Internal periphery is not pre- If when in size range, first doing body corrosion treatment to the bianry image that progressively binarization unit 340 is obtained successively, then carry out Contour searching.Wherein, depending on level of the template size size of corrosion according to pyramid diagram picture.The method of Contour searching can be used Chain-Code-Method or Run- Length Coding method etc..
Judging unit 330, for judging whether outline that search unit 320 is searched includes the lubrication groove of predetermined number Exterior feature, whether the size of the Internal periphery is all in the range of pre-set dimension;If so, then judge region that the outline included as Scaling board region, Internal periphery is mark profile;If it is not, then starting progressively binarization unit 340.Search unit 320 is searched for To outline be rectangle frame in scaling board image inner edge (rectangle frame has inner edge and outside), without consider its outside, it is only right Inner edge makes a decision.Internal periphery be rectangle frame in mark edge.Therefore, predetermined number is actually to be wrapped on scaling board image The number of filled circles in the quantity of the mark contained, i.e. Fig. 1.Pre-set dimension scope is that can filter out the size model of mark Enclose.Size includes area and girth.That is, whether the size of Internal periphery is all in the range of pre-set dimension, specially:The face of Internal periphery Whether product and girth are respectively in preset area scope, default peripheral extent.Circle, ellipse, rectangle, square etc., in radius Or in the case of the length of side is known, its area and girth by limiting the size of area and girth just, it is known that so as to be told Corresponding shape.
The present invention is using body corrosion, and effect is to expand outwardly the profile of the circle marker thing of black, is easy to follow-up After the profile of circle marker thing is extracted, when calculating the outsourcing rectangle of this profile, it is ensured that this rectangle can be by the scaling board The circle marker thing of image is included, and one piece of situation is intersected or be connected on the side that rectangle is not present with circle marker thing profile, Ensure that positioning precision.
Locating module 40, for calculating the mark in scaling board region in the pyramid diagram picture for search scaling board region The outsourcing rectangle of thing profile, the outsourcing rectangle is mapped in the scaling board image, obtains interested comprising mark Region and the centre coordinate of calculation flag thing.
Further, locating module 40, including:Area-of-interest acquiring unit, filter unit and coordinate calculating unit.
Area-of-interest acquiring unit, for calculating scaling board region in the pyramid diagram picture for search scaling board region The outsourcing rectangle of interior all mark profiles, the scaling board is mapped back according to the down-sampled principle of pyramid by the outsourcing rectangle In image, obtain including the area-of-interest (ROI) of mark, each area-of-interest correspondence includes a mark.
Filter unit, for being filtered pretreatment using the filtering method at holding edge to each area-of-interest.Example Such as:Keep the filtering method at edge can be using anisotropic diffusion filtering or bilateral filtering etc..Keep the filtering method energy at edge Enough while marginal information is kept, good smothing filtering effect is played to noise and non-edge, can effectively be suppressed The phenomenon such as noise and uneven illumination.
Coordinate calculating unit, for being carried out to each area-of-interest using automatic threshold segmentation method at image binaryzation Reason, and the barycenter of the mark in the area-of-interest after binary conversion treatment is calculated, by the barycenter navigated to and area-of-interest A certain summit (the present embodiment is left upper apex) be overlapped processing and can obtain the center of mark in the scaling board figure Position coordinates as in.Likewise, automatic threshold segmentation method can be used:In Otsu methods, maximum entropy method (MEM) and Adaptive Thresholding One or more.Wherein, the barycenter includes gray scale barycenter and/or region barycenter.The present invention is using the sense for asking for binaryzation The mode of interest region barycenter asks for the center of mark, it is ensured that accuracy.
In other embodiments, locating module 40 can also extract the centre coordinate of mark using other methods, e.g., The outsourcing rectangle of the mark profile calculated in the pyramid diagram picture in scaling board region in scaling board region is searched, will be described outer Bag rectangle is mapped in the scaling board image, obtains including the area-of-interest of mark;Combined using Boundary extracting algorithm Ellipses recognition algorithm is accurately positioned the centre coordinate of mark.Boundary extracting algorithm includes Canny edge detection algorithms, LOG Edge detection algorithm and Facet model Sub-pixel Edge Detections etc..
In summary, the mark alignment system for the scaling board image that the present invention is provided, passes through image pyramid technology energy Enough area-of-interests quickly navigated in the scaling board image, follow-up mark barycenter extraction algorithm is felt just for these Interest region is operated, therefore greatly improves operational efficiency.By coupling and using algorithm parameter with the pyramid number of plies The method of Automatic parameter selection avoids extra parameter input, greatly facilitates algorithm debugging process, reduces debugging difficult Degree.Can be existing for picture noise and uneven illumination etc. in the case where ensureing required precision using holding edge filter method As there is good inhibiting effect, can greatly boosting algorithm robustness.
The mark alignment system of the scaling board image provided based on above-described embodiment, the present invention also provides a kind of scaling board The mark localization method of image, as shown in figure 4, methods described comprises the following steps:
S10, image layered step:Image layered module gathers scaling board image, according to the scaling board image collected Resolution ratio carries out image pyramid layering to the scaling board image, to obtain the pyramid diagram picture of each layer.Please refer to fig. 5, Image layered step S10 is specifically included:S110, input scaling board image.
S120, image pyramid layering carried out to scaling board image according to the resolution ratio of scaling board image, and every layer is adopted The image of sample is preserved.That is, the down-sampled number of plies of the image pyramid according to needed for being calculated the resolution ratio of scaling board image, to the mark Fixed board image carries out the down-sampled n times of pyramid, and the image of every layer of sampling is preserved.
S20, execution step (being made up of S210, S220, S230):Held successively to lower floor since the pyramid diagram picture of top layer Road wheel exterior feature search step S30, until in current layer pyramid diagram as corresponding bianry image in search scaling board region and mark Untill will thing profile;When in current layer pyramid diagram as corresponding bianry image in search scaling board region and mark profile When, perform positioning step S40;Scaling board region and mark are not searched yet in the corresponding bianry image of pyramid bottom image During will thing profile, the positioning failure of determination flag thing.
Step is performed to be made up of S210, S220, S230.Wherein, S210, choose i-th layer of pyramid diagram picture, selection it is initial It is worth for top layer pyramid diagram picture, i.e. n-th layer pyramid diagram picture.I is more than or equal to the 0, integer less than or equal to N.In the present embodiment, i More than or equal to 1.
S30, Contour searching step:Image binaryzation processing is carried out to current layer pyramid diagram picture, the golden word of current layer is obtained The corresponding bianry image of tower image, searches for scaling board region and mark profile in the bianry image.
Specifically, Contour searching step S30 is specifically included:
S310, automatic threshold segmentation, i.e., automatic two-value subslep:Automatic binarization unit is to the pyramid currently chosen Image carries out image binaryzation processing using automatic threshold segmentation method, obtains bianry image.
Searching sub-step, search unit carries out Contour searching to obtained bianry image.Specifically, searching sub-step bag Include:S321, body corrosion treatment is done to obtained bianry image, wherein, the template size size of corrosion is according to pyramid diagram Depending on the level of picture.S322, to after corrosion bianry image carry out Contour searching.
S330, judge sub-step:Judging unit judges whether the outline searched includes the Internal periphery of predetermined number, institute The size of Internal periphery is stated whether all in the range of pre-set dimension;If so, then judging region that the outline included as demarcation Plate region, Internal periphery is mark profile;If it is not, then entering progressively two-value subslep S340;
S340, threshold value self-adjusting and segmentation, i.e. progressively two-value subslep:Progressively binarization unit is interval in predetermined threshold value It is interior, predetermined interval value is spaced from small to large to choose gray threshold, a gray threshold is often chosen, then with the gray threshold to working as The pyramid diagram picture of front layer enters row threshold division, obtains corresponding bianry image, and returns to searching sub-step, until traversal is default Untill threshold interval.Specifically, choosing the interval minimum value T of predetermined threshold valueminAs gray threshold, with the gray threshold to working as The pyramid diagram picture of front layer enters row threshold division, obtains corresponding bianry image, and return to step S321;It is again introduced into step During S340, last gray threshold increase predetermined interval value △ T are obtained into new gray threshold, with new gray threshold to working as The pyramid diagram picture of front layer enters row threshold division, obtains corresponding bianry image, and return to step S321;Circulate according to this, until Finally choose the interval maximum of T of predetermined threshold valuemaxAs gray threshold, with pyramid diagram picture of the gray threshold to current layer Enter row threshold division, untill obtaining corresponding bianry image, and return to step S321.
The judged result of S230, performing module in S330, judges whether to search scaling board in current tomographic image Region and mark profile, after S330 judges to obtain scaling board region and mark profile, then into step S410;In traversal When not searching scaling board region and mark profile yet after predetermined threshold value is interval, into step S220.
S220, return i-1 value give step S210 so that performing module obtains the i-th -1 layer of pyramid diagram picture.
S40, positioning step:Locating module is calculated in scaling board region in the pyramid diagram picture for search scaling board region Mark profile outsourcing rectangle, the outsourcing rectangle is mapped in the scaling board image, obtained comprising mark The centre coordinate of area-of-interest and calculation flag thing.
Specifically, positioning step S40, including:
S410, area-of-interest acquiring unit calculate scaling board region in the pyramid diagram picture for search scaling board region The outsourcing rectangle of interior all mark profiles, the outsourcing rectangle is mapped in the scaling board image, is obtained comprising mark The area-of-interest of thing, each area-of-interest correspondence includes a mark.
S420, filter unit are filtered pretreatment to each area-of-interest using the filtering method at holding edge.
S430, coordinate calculating unit are carried out at image binaryzation to each area-of-interest using automatic threshold segmentation method Reason, and the barycenter of the mark in the area-of-interest after binary conversion treatment is calculated, by the barycenter navigated to and area-of-interest A certain summit (be specially left upper apex) be overlapped processing and can obtain the center of mark in the scaling board image Position coordinates.
Due to the principle of the mark localization method of scaling board image, feature in above-mentioned corresponding embodiment of the method it is detailed It is thin to illustrate, it will not be repeated here.
It will be understood by those skilled in the art that all or part of step of various methods can pass through in above-mentioned embodiment Program controls related hardware to complete, and the program can be stored in a computer-readable recording medium, storage medium can be wrapped Include:Read-only storage, random access memory, disk or CD etc..
Use above specific case is illustrated to the present invention, is only intended to help and is understood the present invention, not to limit The system present invention.For those skilled in the art, according to the thought of the present invention, it can also make some simple Deduce, deform or replace.

Claims (10)

1. a kind of mark localization method of scaling board image, it is characterised in that comprise the following steps:
Image layered step, image pyramid point is carried out according to the resolution ratio of the scaling board image collected to the scaling board image Layer, to obtain the pyramid diagram picture of each layer;
Step is performed, Contour searching step is performed to lower floor successively since the pyramid diagram picture of top layer, until in current layer gold Untill scaling board region and mark profile are searched in the corresponding bianry image of word tower image;When in current layer pyramid diagram picture When scaling board region and mark profile are searched in corresponding bianry image, positioning step is performed;
Contour searching step, carries out image binaryzation processing to current layer pyramid diagram picture, obtains current layer pyramid diagram picture pair The bianry image answered, searches for scaling board region and mark profile in the bianry image;
Positioning step, calculates the outer of mark profile in scaling board region in the pyramid diagram picture for search scaling board region Bag rectangle, the outsourcing rectangle is mapped in the scaling board image, obtains the area-of-interest comprising mark and calculating The centre coordinate of mark.
2. the mark localization method of scaling board image according to claim 1, it is characterised in that the execution step is also Including:
When not searching scaling board region and mark profile yet in the corresponding bianry image of pyramid bottom image, judge Mark positioning failure.
3. the mark localization method of scaling board image according to claim 1 or 2, it is characterised in that the profile is searched Rope step, including:
Automatic two-value subslep, is carried out at image binaryzation to the pyramid diagram picture of current layer using automatic threshold segmentation method Reason, obtains bianry image;
Searching sub-step, Contour searching is carried out to obtained bianry image;
Judge sub-step, judge whether the outline searched includes the Internal periphery of predetermined number, the size of the Internal periphery is It is no all in the range of pre-set dimension;If so, then judging region that the outline included as scaling board region, Internal periphery is mark Will thing profile;If it is not, then entering progressively two-value subslep;
Progressively two-value subslep, in predetermined threshold value is interval, is spaced predetermined interval value to choose gray threshold, often from small to large A gray threshold is chosen, then row threshold division is entered to the pyramid diagram picture of current layer with the gray threshold, obtains corresponding two It is worth image, and returns to searching sub-step, untill traversal predetermined threshold value is interval.
4. the mark localization method of scaling board image according to claim 3, it is characterised in that the search sub-step Suddenly, including:
Body corrosion treatment is done to obtained bianry image, and Contour searching is carried out to the bianry image after corrosion;Wherein, it is rotten Depending on level of the template size size of erosion according to pyramid diagram picture.
5. the mark localization method of scaling board image according to claim 1, it is characterised in that the positioning step, Including:
The outsourcing rectangle of all mark profiles in scaling board region is calculated in the pyramid diagram picture for search scaling board region, The outsourcing rectangle is mapped in the scaling board image, obtains including the area-of-interest of mark, each region of interest Domain correspondence includes a mark;
Pretreatment is filtered using the filtering method at holding edge to each area-of-interest;
Image binaryzation processing is carried out using automatic threshold segmentation method to each area-of-interest, and calculated after binary conversion treatment Area-of-interest in mark barycenter, a certain summit of the barycenter navigated to and area-of-interest is overlapped processing It can obtain position coordinates of the center of mark in the scaling board image.
6. a kind of mark alignment system of scaling board image, it is characterised in that including:
Image layered module, the golden word of image is carried out to the scaling board image for the resolution ratio according to the scaling board image collected Tower is layered, to obtain the pyramid diagram picture of each layer;
Performing module, for being handled successively the pyramid diagram picture of top layer to bottom by Contour searching module, until wheel Wide search module during current layer pyramid diagram is as corresponding bianry image untill scaling board region and mark profile is searched; When Contour searching module in current layer pyramid diagram as corresponding bianry image in search scaling board region and mark profile When, mark is positioned by locating module;
Contour searching module, for carrying out image binaryzation processing to current layer pyramid diagram picture, obtains current layer pyramid diagram As corresponding bianry image, scaling board region and mark profile are searched in the bianry image;
Locating module, for calculating the mark profile in scaling board region in the pyramid diagram picture for search scaling board region Outsourcing rectangle, the outsourcing rectangle is mapped in the scaling board image, obtain comprising mark area-of-interest simultaneously The centre coordinate of calculation flag thing.
7. the mark alignment system of scaling board image according to claim 6, it is characterised in that the performing module is also For:
Contour searching module does not search scaling board region and mark yet in the corresponding bianry image of pyramid bottom image During thing profile, the positioning failure of determination flag thing.
8. the mark alignment system of the scaling board image according to claim 6 or 7, it is characterised in that the profile is searched Rope module includes:
Automatic binarization unit, image binaryzation is carried out for the pyramid diagram picture to current layer using automatic threshold segmentation method Processing, obtains bianry image;
Progressively binarization unit, the outline for being searched in search unit does not include the Internal periphery of predetermined number, it is described in When the size of profile is not in the range of pre-set dimension, in predetermined threshold value is interval, predetermined interval value is spaced from small to large to choose Gray threshold, often chooses a gray threshold, then enters row threshold division to the pyramid diagram picture of current layer with the gray threshold, obtain To corresponding bianry image, untill traversal predetermined threshold value is interval;
Search unit, the bianry image for being obtained to automatic binarization unit carries out Contour searching;In the outline searched The Internal periphery of predetermined number is not included, when the size of the Internal periphery is not in the range of pre-set dimension, successively to progressively binaryzation The bianry image that unit is obtained carries out Contour searching;
Judging unit, for judging whether outline that search unit is searched includes the Internal periphery of predetermined number, the lubrication groove Whether wide size is all in the range of pre-set dimension;If so, region that the outline included then is judged as scaling board region, Internal periphery is mark profile;If it is not, then starting progressively binarization unit.
9. the mark alignment system of scaling board image according to claim 8, it is characterised in that the search unit exists Bianry image is carried out before Contour searching, and body corrosion treatment is first done to bianry image;Wherein, the template size size of corrosion Depending on the level of pyramid diagram picture.
10. the mark alignment system of scaling board image according to claim 1, it is characterised in that the locating module, Including:
Area-of-interest acquiring unit, for calculating institute in scaling board region in the pyramid diagram picture for search scaling board region There is the outsourcing rectangle of mark profile, the outsourcing rectangle is mapped in the scaling board image, obtain comprising mark Area-of-interest, each area-of-interest correspondence includes a mark;
Filter unit, for being filtered pretreatment using the filtering method at holding edge to each area-of-interest;
Coordinate calculating unit, for carrying out image binaryzation processing using automatic threshold segmentation method to each area-of-interest, And the barycenter of the mark in the area-of-interest after binary conversion treatment is calculated, by certain of the barycenter navigated to and area-of-interest One summit is overlapped processing and can obtain position coordinates of the center of mark in the scaling board image.
CN201710165758.4A 2017-03-20 2017-03-20 The mark localization method and system of a kind of scaling board image Pending CN107123146A (en)

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