CN106997589A - image processing method, device and equipment - Google Patents

image processing method, device and equipment Download PDF

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Publication number
CN106997589A
CN106997589A CN201710236638.9A CN201710236638A CN106997589A CN 106997589 A CN106997589 A CN 106997589A CN 201710236638 A CN201710236638 A CN 201710236638A CN 106997589 A CN106997589 A CN 106997589A
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China
Prior art keywords
cut zone
operational order
designated area
response
image processing
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CN201710236638.9A
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Chinese (zh)
Inventor
吴叶芬
吴柯
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Shanghai United Imaging Healthcare Co Ltd
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Shanghai United Imaging Healthcare Co Ltd
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Priority to CN201710236638.9A priority Critical patent/CN106997589A/en
Publication of CN106997589A publication Critical patent/CN106997589A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Quality & Reliability (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Apparatus For Radiation Diagnosis (AREA)

Abstract

The embodiments of the invention provide a kind of image processing method, device and equipment.The embodiment of the present invention is by obtaining the first related designated area of cut zone, and the image processing operations matched according to the second operational order of reception to designated area and the first cut zone execution with the second operational order, obtain the second cut zone, enable the intention of image processing equipment accurate understanding user, clearly handle target and how to handle, on this basis it is automatic to first cut zone amendment is adjusted with designated area, so as to improve the degree of accuracy of image segmentation, and then improve the reliability of the analysis result based on image segmentation result, solve image segmentation in the prior art inaccurate, the problem of causing the analysis result poor reliability based on image segmentation result.

Description

Image processing method, device and equipment
【Technical field】
This programme is related to image processing field, more particularly to a kind of image processing method, device and equipment.
【Background technology】
In the processing of image, it is often necessary to which the various pieces in image are split.For example, in medical image, being The need for diagnosis or research, the organ in image or position split.Such as CT (Computed Tomography, electricity Sub- computed tomography) image, MR (Magnetic Resonance, magnetic resonance) image etc..
However, in image segmentation process, for some segmentation object, often occur and split inaccurate situation, than Such as over-segmentation and less divided.Wherein, over-segmentation refers to that will not belong to mesh target area also splits to target, causes point of target Cut region and be more than actual shared region.Less divided is then with over-segmentation on the contrary, refer to exclude the subregion for belonging to target in mesh Outside mark, the cut zone of target is caused to be less than actual shared region.
During this programme is realized, inventor has found that at least there are the following problems in the prior art:
Image segmentation is inaccurate, causes the analysis result poor reliability based on image segmentation result.
【The content of the invention】
In view of this, this programme embodiment provides a kind of image processing method, device and equipment, to solve existing skill Image splits inaccurate, the problem of causing the analysis result poor reliability based on image segmentation result in art.
In a first aspect, this programme embodiment provides a kind of image processing method, methods described includes:
In response to the first operational order, the first related designated area of cut zone is obtained in present image;
Receive the second operational order for the designated area;
To the designated area and the described first image that cut zone is performed and second operational order matches Processing operation, obtains the second cut zone.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, in response to first Operational order, obtains the first related designated area of cut zone in present image, including:
In response to free pen sketched the contours in present image to the described first related the first closed curve of cut zone, obtain Take using first closed curve as the region of edge contour.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, in response to first Operational order, obtains the first related designated area of cut zone in present image, including:
In response in present image get ready line formation with described first cut zone it is related second close song Line, is obtained using second closed curve as the region of edge contour.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, second behaviour Work instruction is deletes instruction, to the designated area and the described first cut zone execution and the second operational order phase The image processing operations matched somebody with somebody, obtain the second cut zone, including:
Obtain the overlapping region of the designated area and the described first cut zone;
The overlapping region is deleted from described first cut zone, the second cut zone is obtained.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, second behaviour Work instruction is increase instruction, to the designated area and the described first cut zone execution and the second operational order phase The image processing operations matched somebody with somebody, obtain the second cut zone, including:
Obtain the Non-overlapping Domain of the designated area and the described first cut zone;
By the Non-overlapping Domain with described first cut zone merge, obtain the second cut zone.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, methods described is also Including:
According to the second cut zone, the respective regions of assignment algorithm pair other tomographic images related to present image are utilized It is updated.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, are received to described Second operational order of designated area, including:
In response to the selection operation of the specified option to secondary interface menu, generation corresponding with the specified option second Operational order;
Or, the operation in response to pressing specified button generates the second operational order corresponding with the specified button;
Or, corresponding second behaviour is combined in the operation in response to pressing specified button combination, generation with the specified button Instruct;
Or, in response to specifying mouse posture, generation the second operational order corresponding with the specified mouse posture.
Second aspect, this programme embodiment provides a kind of image processing apparatus, and described device includes:
Acquisition module, in response to the first operational order, obtained in present image first cut zone it is related Designated area;
Receiving module, for receiving the second operational order for the designated area;
Processing module, for the designated area and the described first cut zone execution and second operational order The image processing operations matched, obtain the second cut zone.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, described device is also Including:
Update module, for according to the second cut zone, utilizing assignment algorithm pair other layers related to present image The respective regions of image are updated.
The third aspect, this programme embodiment provides a kind of image processing equipment, and the equipment includes:
Processor;
Memory for storing the processor-executable instruction;
The processor is configured as:
In response to the first operational order, the first related designated area of cut zone is obtained in present image;
Receive the second operational order for the designated area;
To the designated area and the described first image procossing that cut zone is performed and the second operational order matches Operation, obtains the second cut zone.
The embodiment of the present invention has the advantages that:
The embodiment of the present invention, by obtaining the first related designated area of cut zone, and according to the second of reception the behaviour Instruct to designated area and first cut zone perform the image processing operations matched with the second operational order, obtain the Two cut zone so that image processing equipment is capable of the intention of accurate understanding user, clearly handle target and how to handle, On this basis it is automatic to first cut zone amendment is adjusted with designated area so that improve that image splits is accurate Degree, and then improve the reliability of the analysis result based on image segmentation result.
【Brief description of the drawings】
, below will be attached to what is used required in embodiment in order to illustrate more clearly of the technical scheme of this programme embodiment Figure is briefly described, it should be apparent that, drawings in the following description are only some embodiments of this programme, for this area For those of ordinary skill, without having to pay creative labor, it can also be obtained according to these accompanying drawings other attached Figure.
Fig. 1 is the first pass exemplary plot of image processing method provided in an embodiment of the present invention.
Fig. 2 is the second procedure exemplary plot of image processing method provided in an embodiment of the present invention.
Fig. 3 is the 3rd flow example figure of image processing method provided in an embodiment of the present invention.
Fig. 4 (a) is the exemplary plot of designated area in the case of less divided provided in an embodiment of the present invention.
Fig. 4 (b) is the exemplary plot of designated area in the case of over-segmentation provided in an embodiment of the present invention.
Fig. 5 is the functional block diagram of image processing apparatus provided in an embodiment of the present invention.
Fig. 6 is the simplified block diagram of image processing equipment.
【Embodiment】
In order to be better understood from the technical scheme of this programme, this programme embodiment is retouched in detail below in conjunction with the accompanying drawings State.
It will be appreciated that described embodiment is only a part of embodiment of this programme, rather than whole embodiments.Base Embodiment in this programme, those of ordinary skill in the art obtained under the premise of creative work is not made it is all its Its embodiment, belongs to the scope of this programme protection.
The term used in this programme embodiment is the purpose only merely for description specific embodiment, and is not intended to be limiting This programme." one kind ", " described " and "the" of singulative used in this programme embodiment and appended claims It is also intended to including most forms, unless context clearly shows that other implications.
It should be appreciated that term "and/or" used herein is only a kind of incidence relation for describing affiliated partner, represent There may be three kinds of relations, for example, A and/or B, can be represented:Individualism A, while there is A and B, individualism B these three Situation.In addition, character "/" herein, it is a kind of relation of "or" to typically represent forward-backward correlation object.
Depending on linguistic context, word as used in this " if " can be construed to " ... when " or " when ... When " or " in response to determining " or " in response to detection ".Similarly, depending on linguistic context, phrase " if it is determined that " or " if detection (condition or event of statement) " can be construed to " when it is determined that when " or " in response to determine " or " when the detection (condition of statement Or event) when " or " in response to detection (condition or event of statement) ".
Embodiment one
The embodiments of the invention provide a kind of image processing method.The image processing method can pass through application APP To realize, the terminal such as computer, medical work station can obtain corresponding image processing function by installing the application program.
Fig. 1 is the first pass exemplary plot of image processing method provided in an embodiment of the present invention.As shown in figure 1, this implementation In example, image processing method may include steps of:
S101, in response to the first operational order, obtains the first related designated area of cut zone in present image.
S102, receives the second operational order for designated area.
S103, is grasped to designated area and the first image procossing that cut zone is performed and the second operational order matches Make, obtain the second cut zone.
Wherein, present image can be medical image, such as CT images, MRI.
Wherein, first cut zone can be some organ or position in medical image region.In medical image, Can be according to known image segmentation algorithm come segmentation figure picture.For example, being entered based on the gray value of pixel in image to image Row segmentation.
Wherein, first the related designated area of cut zone can be specified area inside first cut zone Domain, can be and first cut zone is adjacent and has the designated area of overlapping region that can also be and the first cut zone Designated area adjacent but without overlapping region.Designated area with first cut zone has been adjacent but feelings without overlapping region Under condition, designated area is overlapped with the segment boundary of the first cut zone.
Wherein, designated area with first cut zone is adjacent and has the situation of overlapping region the most universal.Because user When designated area is manually selected, it is impossible to accurately identify the border of the first cut zone, Er Qie great like a machine The border of the cut zone of majority first is very complicated, it is impossible to manual exact picture.For example, in CT images, lung, heart, liver, kidney, The border of the organs such as pancreas.
Wherein, in S102, the second operational order can delete instruction or increase instruction.When first cut zone be During the situation of segmentation, user is typically chosen deletion instruction, and when first cut zone is the situation of less divided, user typically selects Select increase instruction.
During a concrete implementation, in response to the first operational order, acquisition first has been split in present image The related designated area in region, including:In response to free pen sketched the contours in present image to first cut zone it is related One closed curve, obtains the region using the first closed curve as edge contour.For example, when user is used in image processing software The pen or shape tool or mouse etc. sketch the contours to first cut zone related closed curve when, the software automatic identification closed curve bag The region enclosed is the designated area that user obtains.
Wherein, the first closed curve to first cut zone is related can be that the first closed curve has been completely in first Inside cut zone, it is partially in first and inside cut zone or has existed and overlapped with the segment boundary of the first cut zone Situation.
During a concrete implementation, in response to the first operational order, acquisition first has been split in present image The related designated area in region, including:In response in present image get ready line formation to first cut zone it is related The second closed curve, obtain region using the second closed curve as edge contour.For example, user can use mouse or image Marking tool in processing software gets multiple points in present image, and then software is automatic according to specified order (such as up time Pin direction, counter clockwise direction, get ready order etc.) by these point be connected as closed curve.
Wherein, the second closed curve to first cut zone is related has split with the first foregoing closed curve with first Region related meanings are identical, and here is omitted.
Obtained in present image after designated area, user can send the finger for obtaining and completing by modes such as double clicks Order.
During a concrete implementation, the second operational order for designated area is received, including:In response to two The selection operation of the specified option of level interface menu, generates the second operational order corresponding with specified option.For example, being obtained in S101 Take after designated area, user can eject secondary interface dish by double click or click right mouse button in current interface It is single, the respective option of the second operational order is provided in the secondary interface menu, such as delete, increase etc..
During a concrete implementation, the second operational order for designated area is received, including:In response to pressing The operation of specified button, generates the second operational order corresponding with specified button.For example, the boundary after the completion of designated area is obtained Face, when user presses Delete buttons, represents that user have issued deletion instruction.
During a concrete implementation, the second operational order for designated area is received, including:In response to pressing Corresponding second operational order is combined in the operation of specified button combination, generation with specified button.For example, complete obtaining designated area Interface after, when user presses Ctrl+S key combination, represents that user have issued increase instruction.
During a concrete implementation, the second operational order to designated area is received, including:In response to specifying mouse Posture is marked, the second operational order corresponding with specified mouse posture is generated.For example, the interface after the completion of designated area is obtained, When user pins left mouse button upward sliding, represent that user have issued deletion instruction, when user pins left mouse button to downslide When dynamic, represent that user have issued increase instruction.
It should be noted that above-mentioned several receive to the mode of the second operational order of designated area is only showing of enumerating Example, is not used to limit the invention, in other embodiments of the present invention, can be received using other modes to specifying Second operational order in region.
By embodiment illustrated in fig. 1, the image for having carried out over-segmentation can be adjusted and be corrected, so that image Segmentation result is more accurate.
Embodiment illustrated in fig. 1, by obtaining the first related designated area of cut zone, and according to the second of reception the behaviour Instruct to designated area and first cut zone perform the image processing operations matched with the second operational order, obtain the Two cut zone so that image processing equipment is capable of the intention of accurate understanding user, clearly handle target and (have split for first Region) and how to handle and (handled according to the operational order of reception), it is automatic to the first cut zone on this basis Amendment is adjusted with designated area, so as to improve the degree of accuracy of image segmentation, and then is improved based on image segmentation result Analysis result reliability.
Fig. 2 is the second procedure exemplary plot of image processing method provided in an embodiment of the present invention.As shown in Fig. 2 this implementation In example, image processing method may include steps of:
S201, in response to the first operational order, obtains the first related designated area of cut zone in present image.
S202, receives the second operational order for designated area.
S203, judges the second operational order to delete instruction or increase instruction, if the second operational order refers to for increase Order, performs S204, if the second operational order instructs to delete, performs S205.
S204, obtains the Non-overlapping Domain of designated area and the first cut zone, Non-overlapping Domain has been divided with first Region merging technique is cut, the second cut zone is obtained.
S205, obtains the overlapping region of designated area and the first cut zone, and weight is deleted from first cut zone Folded region, obtains the second cut zone.
Embodiment illustrated in fig. 2, by step S203~S205, is had to the step S103 in embodiment illustrated in fig. 1 Body explanation.I.e. according to the second operational order, to designated area and the first respective handling of cut zone progress, obtain second and divided It can be the overlapping region that designated area and the first cut zone are deleted from first cut zone to cut region, obtain second Cut zone, or can be by designated area and the first Non-overlapping Domain of cut zone and the first cut zone conjunction And, obtain the second cut zone.
Referring to Fig. 4 (a).In Fig. 4 (a) arrow meaning region be designated area, the designated area need with Fig. 4 (a) in Liver image merges, to improve the incomplete defect of liver image split originally.
Referring to Fig. 4 (b).Arrow meaning region is designated area in 4 (b), and the designated area is needed from the liver in Fig. 4 (b) Deleted in dirty image, to improve the defect that the liver image split originally includes other non-liver areas.
Fig. 3 is the 3rd flow example figure of image processing method provided in an embodiment of the present invention.As shown in figure 3, this implementation In example, image processing method may include steps of:
S301, in response to the first operational order, obtains the first related designated area of cut zone in present image.
S302, receives the second operational order for designated area.
S303, is grasped to designated area and the first image procossing that cut zone is performed and the second operational order matches Make, obtain the second cut zone.
S304, according to the second cut zone, utilizes the phase of assignment algorithm pair other tomographic images related to present image Region is answered to be updated.
Embodiment illustrated in fig. 3, obtains second after cut zone, by calling respective algorithms, can be achieved to present image The respective regions of adjacent tomographic image be updated, so as to obtain the modification result of multi-layer image.
In medical image, image is repeatedly generated generally for same organ or position, is obtained on same organ Or a series of medical images for having diagnosis or Research Significance at position.So, the profile of cut zone or border letter are being obtained , can be according to the profile or boundary information of cut zone in a width medical image, in a series of medical image after breath The correspondence image region at homolog or position is found, is that medical diagnosis and research provide basis.
In specific application process, the profile information that S304 is obtained can be used as profile class algorithm (such as level Set, Active Contour etc.) initial state or restrictive condition, update around profile.Can also be by obtained profile It is used as the input of interpolation class algorithm, it is ensured that front and rear profile and current outline keep the relation of continuous gradation.
In specific application process, by comparing the amendment rear profile and original contour of cut zone, it can obtain Area information is deleted in addition, estimates foreground and background region.Some partitioning algorithms (such as Graph Cut etc.) can be met Input, is modified to the mask of front and rear layer, reaches the effect of editor.
In specific application process, the profile information obtained according to S304 can also estimate the region for needing to update, Local updating is carried out to original segmentation result, the efficiency of algorithm and the applicability of editor is improved.
Image processing method provided in an embodiment of the present invention, by obtaining the first related designated area of cut zone, And designated area and the first cut zone execution are matched with the second operational order according to the second operational order of reception Image processing operations, obtain the second cut zone so that image processing equipment is capable of the intention of accurate understanding user, clearly locates How reason target and is handled, on this basis it is automatic to first cut zone amendment is adjusted with designated area so that The degree of accuracy of image segmentation is improved, and then improves the reliability of the analysis result based on image segmentation result.
Embodiment two
The embodiments of the invention provide a kind of image processing apparatus, the image processing apparatus can be realized in previous embodiment Each step of image processing method.
Fig. 5 is the functional block diagram of image processing apparatus provided in an embodiment of the present invention.As shown in figure 5, in the present embodiment, Image processing apparatus includes:
Acquisition module 510, in response to the first operational order, cut zone to be related for acquisition first in present image Designated area.
Receiving module 520, for receiving the second operational order for designated area.
Processing module 530, for designated area and first cut zone perform with processing, obtain the second cut section Domain.
During a concrete implementation, acquisition module 510 is in response to the first operational order, in present image It is middle obtain first cut zone related designated area when, specifically for:In response to free pen sketched the contours in present image with First the first related closed curve of cut zone, obtains the region using the first closed curve as edge contour.
During a concrete implementation, acquisition module 510 is in response to the first operational order, in present image Middle choosing obtain first cut zone related designated area when, specifically for:In response to getting line ready in present image Formed and the first related the second closed curve of cut zone, region of the acquisition using the second closed curve as edge contour.
During a concrete implementation, the second operational order instructs to delete, and processing module 530 is for specifying During the image processing operations that region and the first cut zone execution match with the second operational order, specifically for:Acquisition refers to Determine region and the overlapping region of the described first cut zone;Overlapping region is deleted from first cut zone, second is obtained Cut zone.
During a concrete implementation, the second operational order instructs for increase, and processing module 530 is for specifying During the image processing operations that region and the first cut zone execution match with the second operational order, specifically for:Acquisition refers to Determine region and the Non-overlapping Domain of the first cut zone;By Non-overlapping Domain with first cut zone merge, obtain second Cut zone.
During a concrete implementation, image processing apparatus can also include:Update module, for according to second Cut zone, is updated using the respective regions of assignment algorithm pair other tomographic images related to present image.
During a concrete implementation, receiving module 520 is for receiving the second operational order to designated area When, specifically for:In response to the selection operation of the specified option to secondary interface menu, generation corresponding with specified option second Operational order;Or, the operation in response to pressing specified button generates the second operational order corresponding with specified button;Or, Corresponding second operational order is combined in operation in response to pressing specified button combination, generation with specified button;Or, in response to Mouse posture is specified, the second operational order corresponding with specified mouse posture is generated.
Because the image processing apparatus in the present embodiment is able to carry out the image processing method in previous embodiment one, this reality The part that example is not described in detail is applied, the related description to image processing method in previous embodiment one is referred to.
Medical treatment device provided in an embodiment of the present invention, by obtaining the first related designated area of cut zone, And designated area and the first cut zone execution are matched with the second operational order according to the second operational order of reception Image processing operations, obtain the second cut zone so that image processing equipment is capable of the intention of accurate understanding user, clearly locates How reason target and is handled, on this basis it is automatic to first cut zone amendment is adjusted with designated area so that The degree of accuracy of image segmentation is improved, and then improves the reliability of the analysis result based on image segmentation result.
Embodiment three
The embodiment of the present invention provides a kind of image processing equipment, and the equipment includes:Processor;It can be held for storing processor The memory of row instruction;Processor is configured as:In response to the first operational order, the first cut section is obtained in present image The related designated area in domain;Receive the second operational order for designated area;To designated area and first cut zone hold The image processing operations that row matches with the second operational order, obtain the second cut zone.
Wherein, image processing equipment can be computer.
Fig. 6 is the simplified block diagram of image processing equipment.Referring to Fig. 6, image processing equipment 600 can include and one or many The processor 601 of individual data storage facility connection, the data storage facility can include storage medium 606 and internal storage location 604. Image processing equipment 600 can also include input interface 605 and output interface 607, for being led to another device or system Letter.It is storable in by the CPU of processor 601 program codes performed in internal storage location 604 or storage medium 606.
Processor 601 in image processing equipment 600 calls the program for being stored in internal storage location 604 or storage medium 606 Code, performs following each step:
In response to the first operational order, the first related designated area of cut zone is obtained in present image;
Receive the second operational order for designated area;
To designated area and the first image processing operations that cut zone is performed and the second operational order matches, obtain Second cut zone.
In above-described embodiment, storage medium can be read-only storage (Read-Only Memory, ROM), or readable Write, for example hard disk, flash memory.Internal storage location can be random access memory (Random Access Memory, RAM).Internal memory Unit can be with processor physical integration or integrated in memory or being configured to single unit.
Processor is the control centre of the said equipment (equipment is above-mentioned server or above-mentioned client), and at offer Device is managed, for execute instruction, carrying out interrupt operation, there is provided clocking capability and various other functions.Alternatively, processor bag Include the CPU 0 and CPU 1 shown in one or more CPU (CPU), such as Figure 11.The said equipment includes one Or multiple processors.Processor can be monokaryon (single CPU) processor or multinuclear (multi -CPU) processor.Unless otherwise stated, It is described as the part of such as processor or memory for performing task and can realize as universal component, it is temporarily used for given Time performs task, or is embodied as being manufactured specifically for the particular elements of the execution task.Terminology used herein " processor " Refer to one or more devices, circuit and/or process cores, for processing data, such as computer program instructions.
It is storable in by the CPU of the processor program codes performed in internal storage location or storage medium.Alternatively, it is stored in Program code in storage medium can be copied into internal storage location and be performed so as to the CPU of processor.Processor is executable at least One kernel (such as LINUXTM、UNIXTM、WINDOWSTM、ANDROIDTM、IOSTM), it is well known that the kernel is used for by control The communication of execution, control and the peripheral unit of other programs or process and the use of control computer device resource is made to control The operation of the said equipment.
Said elements in the said equipment can be connected to each other by bus, bus such as data/address bus, address bus, control One of bus, expansion bus and local bus or its any combination.
It is apparent to those skilled in the art that, for convenience and simplicity of description, the system of foregoing description, The specific work process of device and unit, may be referred to the corresponding process in preceding method embodiment, will not be repeated here.
In several embodiments that this programme is provided, it should be understood that disclosed system, apparatus and method can be with Realize by another way.For example, device embodiment described above is only schematical, for example, the unit Divide, only a kind of division of logic function there can be other dividing mode when actually realizing, for example, multiple units or group Part can combine or be desirably integrated into another system, or some features can be ignored, or not perform.It is another, it is shown Or the coupling each other discussed or direct-coupling or communication connection can be by some interfaces, device or unit it is indirect Coupling is communicated to connect, and can be electrical, machinery or other forms.
The unit illustrated as separating component can be or may not be it is physically separate, it is aobvious 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 this programme each embodiment 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.Above-mentioned integrated list Member can both be realized in the form of hardware, it would however also be possible to employ hardware adds the form of SFU software functional unit to realize.
The preferred embodiment of this programme is the foregoing is only, not to limit this programme, all essences in this programme God is with principle, and any modification, equivalent substitution and improvements done etc. should be included within the scope of this programme protection.

Claims (10)

1. a kind of image processing method, it is characterised in that methods described includes:
In response to the first operational order, the first related designated area of cut zone is obtained in present image;
Receive the second operational order for the designated area;
To the designated area and the described first image procossing that cut zone is performed and second operational order matches Operation, obtains the second cut zone.
2. according to the method described in claim 1, it is characterised in that in response to the first operational order, obtained in present image The first related designated area of cut zone, including:
In response to free pen sketched the contours in present image to the described first related the first closed curve of cut zone, obtain with First closed curve is the region of edge contour.
3. according to the method described in claim 1, it is characterised in that in response to the first operational order, obtained in present image The first related designated area of cut zone, including:
In response to getting line formation and the described first related the second closed curve of cut zone ready in present image, obtain Take using second closed curve as the region of edge contour.
4. according to the method described in claim 1, it is characterised in that second operational order instructs to delete, refer to described Determine region and the described first image processing operations that cut zone is performed and second operational order matches, obtain second Cut zone, including:
Obtain the overlapping region of the designated area and the described first cut zone;
The overlapping region is deleted from described first cut zone, the second cut zone is obtained.
5. according to the method described in claim 1, it is characterised in that second operational order instructs for increase, refer to described Determine region and the described first image processing operations that cut zone is performed and second operational order matches, obtain second Cut zone, including:
Obtain the Non-overlapping Domain of the designated area and the described first cut zone;
By the Non-overlapping Domain with described first cut zone merge, obtain the second cut zone.
6. according to the method described in claim 1, it is characterised in that methods described also includes:
According to the second cut zone, the respective regions of assignment algorithm pair other tomographic images related to present image are utilized to carry out Update.
7. according to the method described in claim 1, it is characterised in that receive the second operational order to the designated area, bag Include:
In response to the selection operation of the specified option to secondary interface menu, the second operation corresponding with the specified option is generated Instruction;
Or, the operation in response to pressing specified button generates the second operational order corresponding with the specified button;
Or, the operation in response to pressing specified button combination, generation is combined corresponding second operation with the specified button and referred to Order;
Or, in response to specifying mouse posture, generation the second operational order corresponding with the specified mouse posture.
8. a kind of image processing apparatus, it is characterised in that described device includes:
Acquisition module, cut zone is related in response to the first operational order, obtaining first in present image specifies Region;
Receiving module, for receiving the second operational order for the designated area;
Processing module, for the designated area and the described first cut zone execution and the second operational order phase The image processing operations matched somebody with somebody, obtain the second cut zone.
9. device according to claim 8, it is characterised in that described device also includes:
Update module, for according to the second cut zone, utilizing assignment algorithm pair other tomographic images related to present image Respective regions be updated.
10. a kind of image processing equipment, it is characterised in that the equipment includes:
Processor;
Memory for storing the processor-executable instruction;
The processor is configured as:
In response to the first operational order, the first related designated area of cut zone is obtained in present image;
Receive the second operational order for the designated area;
To the designated area and the described first image processing operations that cut zone is performed and the second operational order matches, Obtain the second cut zone.
CN201710236638.9A 2017-04-12 2017-04-12 image processing method, device and equipment Pending CN106997589A (en)

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