CN104751431A - Method and device based on image processing - Google Patents
Method and device based on image processing Download PDFInfo
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- CN104751431A CN104751431A CN201310752691.6A CN201310752691A CN104751431A CN 104751431 A CN104751431 A CN 104751431A CN 201310752691 A CN201310752691 A CN 201310752691A CN 104751431 A CN104751431 A CN 104751431A
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- 238000000034 method Methods 0.000 title claims abstract description 57
- 238000012545 processing Methods 0.000 title claims abstract description 52
- 238000009499 grossing Methods 0.000 claims abstract description 65
- 210000002700 urine Anatomy 0.000 claims description 17
- 230000011218 segmentation Effects 0.000 claims description 10
- 238000003384 imaging method Methods 0.000 claims description 9
- 238000001514 detection method Methods 0.000 abstract description 5
- 238000003709 image segmentation Methods 0.000 abstract 2
- 238000010586 diagram Methods 0.000 description 8
- 238000005259 measurement Methods 0.000 description 3
- 239000013049 sediment Substances 0.000 description 3
- 238000012795 verification Methods 0.000 description 3
- 210000003743 erythrocyte Anatomy 0.000 description 2
- 239000004615 ingredient Substances 0.000 description 2
- 239000011159 matrix material Substances 0.000 description 2
- 230000002485 urinary effect Effects 0.000 description 2
- 238000002425 crystallisation Methods 0.000 description 1
- 230000008025 crystallization Effects 0.000 description 1
- 210000002919 epithelial cell Anatomy 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
-
- 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
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
- G06T2207/20224—Image subtraction
-
- 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
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
-
- 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
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30024—Cell structures in vitro; Tissue sections in vitro
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Investigating Or Analysing Biological Materials (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
Abstract
The invention relates to a method and a device based on image processing; the device comprises a processing module, a subtracting module and a searching module; the processing module performs smoothing treatment to a first image by utilizing a plurality of smoothing levels and acquires a plurality of second images subjected to the smoothing treatment; the subtracting module is adopted to subtract two in pairs of the second images and obtain a third image formed by subtraction of images; and the searching module is adopted to perform image segmentation treatment to the third image and find out an image area, including interested objects, in the first image by performing image segmentation processing on the third image. By adopting the method and the device, the detection rate of objects can be improved.
Description
Technical field
The present invention relates to image processing field, particularly relate to a kind of method based on image procossing and treating apparatus.
Background technology
Urine sediment analysis is a kind of Noninvasive testing, for calculating the number of the various visible components (such as, red blood cell, leucocyte, cast (CAST), epithelial cell, crystallization etc.) in urine.
The urine sediment analysis software of much business can detect and calculate red blood cell in urine and leukocytic number with good performance.But carrying out automatically detecting to the cast in urinary formed element is a challenging task.
A kind of typical arena detection technique uses microscopic system to carry out imaging to urine specimen and the urinary formed element using computer vision technique to come in analysis chart picture.The sharpness of image directly affects the performance of software analysis.Although much urine sediment analysis equipment can adopt technology of auto to ensure the sharpness of image, but due to the restriction of the depth of field of microscopic system, the cast on image is usually still very light and fuzzy, be not easy to be found, thus be easy to cause the undetected of cast.
Summary of the invention
Consider the problem of prior art, the embodiment of the present invention provides a kind of method and apparatus based on image procossing, and it can improve the verification and measurement ratio of object.
According to a kind of method based on image procossing of the embodiment of the present invention, comprising: by using multiple smoothing processing rank respectively to the smoothing process of the first image, obtain the second image after multiple smoothing processing; By by the appointment in described multiple second image between two the second image subtract each other, obtain image subtraction formed the 3rd image; And, by performing Iamge Segmentation process to described 3rd image, find out the image-region including object of interest in described first image.
Wherein, described appointment between two the second image be the image using smoothing processing rank adjacent in described multiple smoothing processing rank to obtain the smoothing process of described first image respectively.
Wherein, described method also comprises: calculate the appointment characteristics of image including the image-region of object of interest in described first image; And, according to calculated appointment characteristics of image, utilize the sorter obtained in advance to determine whether the object of interest included by described image-region belongs to appointed object.
Wherein, described first image carries out to urine specimen the image that imaging obtains, described appointed object is the cast in arena, and described appointment characteristics of image comprises following at least one: the prospect in the gradient of the prospect in the gray scale of the prospect in the texture of the prospect in the shape of the prospect in described image-region, described image-region, described image-region, described image-region and described image-region and the difference of background.
According to a kind of device based on image procossing of the embodiment of the present invention, comprising: processing module, for by using multiple smoothing processing rank respectively to the smoothing process of the first image, obtaining the second image after multiple smoothing processing; Subtraction module, for by by the appointment in described multiple second image between two the second image subtract each other, obtain image subtraction formed the 3rd image; And, searching module, for by performing Iamge Segmentation process to described 3rd image, finding out the image-region including object of interest in described first image.
Wherein, described appointment between two the second image be the image using smoothing processing rank adjacent in described multiple smoothing processing rank to obtain the smoothing process of described first image respectively.
Wherein, described device also comprises: computing module, for calculating the appointment characteristics of image including the image-region of object of interest in described first image; And determination module, for according to calculated appointment characteristics of image, utilizes the sorter obtained in advance to determine whether the object of interest included by described image-region belongs to appointed object.
Wherein, described first image carries out to urine specimen the image that imaging obtains, described appointed object is the cast in arena, and described appointment characteristics of image comprises following at least one: the prospect in the gradient of the prospect in the gray scale of the prospect in the texture of the prospect in the shape of the prospect in described image-region, described image-region, described image-region, described image-region and described image-region and the difference of background.
As can be seen from the above, the scheme of the embodiment of the present invention is subtracted each other the image obtained after utilizing the smoothing process of different smoothing processing ranks and is made lightly in image to become clear and eye-catching with fuzzy object, them are made easily to be found and to be detected, therefore, the scheme of the embodiment of the present invention can improve the verification and measurement ratio of object.
Accompanying drawing explanation
Further feature of the present invention, feature and benefit will become more apparent by the detailed description below in conjunction with accompanying drawing.
Fig. 1 shows the process flow diagram of the method based on image procossing according to one embodiment of the invention.
Fig. 2 shows the process flow diagram of the sorting technique according to one embodiment of the invention.
Fig. 3 A shows the image-region comprising cast that segmentation obtains from the image obtained urine specimen imaging.
Fig. 3 B shows the binaryzation black white image corresponding with the image-region shown in Fig. 3 A.
Fig. 4 shows the schematic diagram of the device based on image procossing according to one embodiment of the invention.
Fig. 5 shows the schematic diagram of the equipment based on image procossing according to one embodiment of the invention.
Embodiment
In an embodiment of the present invention, by the image after utilizing the different smoothing process of smoothing processing rank is subtracted each other make in image light with fuzzy object (such as, cast etc. in urine) become clear and eye-catching, make them easily be found and be detected, thus improve the verification and measurement ratio of object.
With reference now to Fig. 1, it illustrates the process flow diagram of the method based on image procossing according to one embodiment of the invention.As shown in Figure 1, at square frame S100, utilize multiple filtrator with different smoothing processing ranks respectively to the smoothing process of image I, obtain the image J after multiple smoothing processing.Here, image I carries out to urine specimen the image that imaging obtains.
At square frame S104, by the appointment in multiple image J between two image J subtract each other, the image K formed after obtaining at least one image subtraction.Here, this appointment between two image J be the image utilizing smoothing processing rank adjacent in the plurality of smoothing processing rank to obtain the smoothing process of image I respectively.Wherein, this appointment between two subtracting each other of image J refer to that the value of corresponding pixel in these two image J is subtracted each other.Usually, smoothing processing rank is higher, and it is far away that the position in the image that object obtains after smoothing processing offsets its actual position.Therefore, if the smoothing processing rank difference that subtract each other two images use is larger, then the degree that the position of object in these two images offsets its actual position differs larger.Otherwise, if the smoothing processing rank difference that subtract each other two images use is less, then the position of object in these two images offset its actual position degree difference less, so utilize the accuracy of subtracting each other formed image to determine the image-region comprising this object of these two images higher.
Such as, suppose to utilize three to have smoothing processing rank C1 respectively, C2, the filtrator of C3 is respectively to the smoothing process of image I, obtain the image J1 after three smoothing processing, J2 and J3, wherein, at these three smoothing processing rank C1, C2, in C3, smoothing processing rank C1 is adjacent with smoothing processing rank C2 and smoothing processing rank C2 is adjacent with smoothing processing rank C3 (such as, C1, C2, C3 is respectively 1, 1.5, 2), that utilize the filtrator with smoothing processing rank C1 to obtain the smoothing process of image I is image J1, that utilize the filtrator with smoothing processing rank C2 to obtain the smoothing process of image I is image J2, that utilize the filtrator with smoothing processing rank C3 to obtain the smoothing process of image I is image J3, so, this J of image between two specified is (J1, and (J2 J2), J3), namely at square frame S104, image J1 and image J2 is subtracted each other, and, image J2 and image J3 is subtracted each other.
At square frame S108, utilize edge detector to perform the Iamge Segmentation process based on rim detection to each in this at least one image K, find out the image-region comprising object of interest in each of this at least one image K.Combine the image-region that this at least one image K found out comprises object of interest, just obtain the image-region comprising object of interest in image I.
After finding out the image-region comprising object of interest in image I, whether the object of interest that can use sorter to determine found out image-region to comprise is appointed object.
With reference now to Fig. 2, it illustrates the process flow diagram of the sorting technique according to one embodiment of the invention.The sorting technique of the present embodiment can be the ingredient of the method based on image procossing of the embodiment of the present invention, and whether it is used for the object of interest determining to comprise in image-region is cast in urine.
As shown in Figure 2, at square frame S200, the following characteristics of image of each image-region found out in computed image I: the prospect in the gradient of the prospect in the gray scale of the prospect in the texture (outward appearance) of the prospect in the shape of the prospect in image-region, image-region, image-region, image-region and image-region and the difference of background.
Below, for the image-region shown in Fig. 3 A and 3B, illustrate the difference of prospect in the gradient of the prospect in the gray scale of the prospect in the texture (outward appearance) of the prospect in the shape of the prospect in how computed image region, image-region, image-region, image-region and image-region and background.Shown in Fig. 3 A is the image-region comprising cast obtained after the image obtained urine specimen imaging carries out Iamge Segmentation process, and shown in Fig. 3 B is the binaryzation black white image corresponding with the image-region shown in Fig. 3 A.White portion in black white image shown in Fig. 3 B and black part are prospect and the background of the image-region shown in Fig. 3 A respectively, and obviously, the white portion in the black white image shown in Fig. 3 B is the image of cast.As shown in Figure 3 B, W represents the width of the least surrounding boxes of prospect, and L represents the height of the least surrounding boxes of prospect, and R represents the minimum envelop radius of a circle of prospect, W_rect represents the width of the black white image shown in Fig. 3 B, and H_rect represents the height of the black white image shown in Fig. 3 B.
The shape of the prospect in the image-region shown in Fig. 3 A can be expressed as: (1) L/W; (2) W*L/(W_rect*H_rect); Or, (3) W*L/(π * R*R).
The texture (outward appearance) of the prospect in the image-region shown in Fig. 3 A can be expressed as: the co-occurrence matrix of the image-region shown in (1) Fig. 3 A; Or, the co-occurrence matrix of the prospect in the image-region shown in (2) Fig. 3 A.
The gray scale of the prospect in the image-region shown in Fig. 3 A can be expressed as: the average gray value of the image-region shown in (1) Fig. 3 A; (2) average gray value of the prospect in the image-region shown in Fig. 3 A; Or, the average gray value on the border of the prospect in the image-region shown in (3) Fig. 3 A.
The gradient of the prospect in the image-region shown in Fig. 3 A can be expressed as: the average gradient value on the border of the prospect in the image-region shown in Fig. 3 A.
Prospect in image-region shown in Fig. 3 A and the difference of background can be expressed as: the prospect in the image-region shown in (1) Fig. 3 A and the average gray difference value between background; Or, the prospect in the image-region shown in (2) Fig. 3 A and the texture difference between background.
At square frame S204, according to the characteristics of image of each image-region in calculated image I, whether the object of interest utilizing the sorter F obtained in advance to comprise to each image-region determined in image I is cast.Here, sorter F is that the difference of prospect in the shape based on the prospect in image-region, the texture (outward appearance) of prospect in image-region, the gray scale of prospect in image-region, the gradient of prospect in image-region and the image-region utilizing known sample to train in advance to obtain and background determines that whether object of interest that image-region comprises is the sorter of cast.
Other modification
Those skilled in the art are to be understood that, although in the above embodiments, following all characteristics of image of each image-region found out in computed image I: the prospect in the gradient of the prospect in the gray scale of the prospect in the texture (outward appearance) of the prospect in the shape of the prospect in image-region, image-region, image-region, image-region and image-region and the difference of background, but the present invention is not limited thereto.In some other embodiment of the present invention, also only can calculate a wherein part for above characteristics of image for each image-region found out in image I.
Those skilled in the art are to be understood that, although in the above embodiments, as the sorting technique of the ingredient of the method based on image procossing for determining that whether the object of interest that comprises in image-region is the cast in urine, but the present invention is not limited thereto.In some other embodiment of the present invention, sorting technique also may be used for the object whether object of interest determining to comprise in image-region is other type.
Those skilled in the art are to be understood that, although in the above embodiments, the J of image between two subtracted each other is the image utilizing smoothing processing rank adjacent in multiple smoothing processing rank to obtain the smoothing process of image I respectively, but the present invention is not limited thereto.In some other embodiment of the present invention, the J of image between two subtracted each other also can be the image between two arbitrarily in the image obtained the smoothing process of image I.
Although it will be appreciated by those skilled in the art that in the above embodiments, use Iamge Segmentation process based on rim detection to image K process to find out the image-region comprising object of interest in image K, but the present invention is not limited thereto.In some other embodiment of the present invention, also can use the Iamge Segmentation process of other type to image K process to find out the image-region comprising object of interest in image K.
Referring now to Fig. 4, it illustrates the schematic diagram of the device based on image procossing according to one embodiment of the invention.The mode that device shown in Fig. 4 can utilize software, hardware or soft or hard to combine realizes.As shown in Figure 4, the device 40 based on image procossing can comprise processing module 402, subtraction module 404 and search module 406.
Processing module 402 may be used for, by using multiple smoothing processing rank respectively to the smoothing process of the first image, obtaining the second image after multiple smoothing processing.Subtraction module 404 may be used for by by the appointment in described multiple second image between two the second image subtract each other, obtain image subtraction formed the 3rd image.Search module 406 to may be used for, by the Iamge Segmentation process performed described 3rd image based on rim detection, finding out the image-region including object of interest in described first image.
Wherein, in another implementation of the present invention, described appointment between two the second image is the image using smoothing processing rank adjacent in described multiple smoothing processing rank to obtain the smoothing process of described first image respectively.
Wherein, in another implementation of the present invention, device 40 can also comprise computing module 408 and determination module 410.Wherein, computing module 408 may be used for calculating the appointment characteristics of image including the image-region of object of interest in described first image.Determination module 410 may be used for according to calculated appointment characteristics of image, utilizes the sorter obtained in advance to determine whether the object of interest included by described image-region belongs to appointed object.
In an implementation more of the present invention, described first image carries out to urine specimen the image that imaging obtains, described appointed object is the cast in arena, and described appointment characteristics of image comprises following at least one: the prospect in the gradient of the prospect in the gray scale of the prospect in the texture of the prospect in the shape of the prospect in described image-region, described image-region, described image-region, described image-region and described image-region and the difference of background.
Referring now to Fig. 5, it illustrates the schematic diagram of the equipment based on image procossing according to one embodiment of the invention.As shown in Figure 5, the processor 504 that the equipment 50 based on image procossing can comprise storer 502 and be connected with storer 502, wherein, processor 504 can the operation performed by modules in actuating unit 40.
The embodiment of the present invention also provides a kind of machine readable media, and it stores executable instruction, when this executable instruction is performed, makes the operation of machine execution performed by processor 504.
Above it will be appreciated by those skilled in the art that, disclosed various embodiment can make various distortion and change when not departing from invention essence, and therefore, protection scope of the present invention should be defined by appending claims.
Claims (10)
1., based on a method for image procossing, comprising:
By using multiple smoothing processing rank respectively to the smoothing process of the first image, obtain the second image after multiple smoothing processing;
By by the appointment in described multiple second image between two the second image subtract each other, obtain image subtraction formed the 3rd image; And
By performing Iamge Segmentation process to described 3rd image, find out the image-region including object of interest in described first image.
2. the method for claim 1, wherein
Described appointment between two the second image is the image using smoothing processing rank adjacent in described multiple smoothing processing rank to obtain the smoothing process of described first image respectively.
3. method as claimed in claim 1 or 2, wherein, also comprises:
Calculate the appointment characteristics of image including the image-region of object of interest in described first image; And
According to calculated appointment characteristics of image, utilize the sorter obtained in advance to determine whether the object of interest included by described image-region belongs to appointed object.
4. method as claimed in claim 3, wherein
Described first image carries out to urine specimen the image that imaging obtains, and described appointed object is the cast in arena, and
Described appointment characteristics of image comprises following at least one: the prospect in the gradient of the prospect in the gray scale of the prospect in the texture of the prospect in the shape of the prospect in described image-region, described image-region, described image-region, described image-region and described image-region and the difference of background.
5., based on a device for image procossing, comprising:
Processing module, for by using multiple smoothing processing rank respectively to the smoothing process of the first image, obtains the second image after multiple smoothing processing;
Subtraction module, for by by the appointment in described multiple second image between two the second image subtract each other, obtain image subtraction formed the 3rd image; And
Searching module, for by performing Iamge Segmentation process to described 3rd image, finding out the image-region including object of interest in described first image.
6. device as claimed in claim 5, wherein
Described appointment between two the second image is the image using smoothing processing rank adjacent in described multiple smoothing processing rank to obtain the smoothing process of described first image respectively.
7. the device as described in claim 5 or 6, wherein, also comprises:
Computing module, for calculating the appointment characteristics of image including the image-region of object of interest in described first image; And
Determination module, for according to calculated appointment characteristics of image, utilizes the sorter obtained in advance to determine whether the object of interest included by described image-region belongs to appointed object.
8. device as claimed in claim 7, wherein
Described first image carries out to urine specimen the image that imaging obtains, and described appointed object is the cast in arena, and
Described appointment characteristics of image comprises following at least one: the prospect in the gradient of the prospect in the gray scale of the prospect in the texture of the prospect in the shape of the prospect in described image-region, described image-region, described image-region, described image-region and described image-region and the difference of background.
9., based on an equipment for image procossing, comprising:
Storer;
The processor be coupled with described storer, requires the operation performed by any one claim in 1-4 for enforcement of rights.
10. a machine readable media, it stores executable instruction, when described executable instruction is performed, makes the operation performed by any one claim in machine enforcement of rights requirement 1-4.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310752691.6A CN104751431A (en) | 2013-12-31 | 2013-12-31 | Method and device based on image processing |
| PCT/US2014/071487 WO2015102945A1 (en) | 2013-12-31 | 2014-12-19 | Image processing-based method and apparatus |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201310752691.6A CN104751431A (en) | 2013-12-31 | 2013-12-31 | Method and device based on image processing |
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| CN104751431A true CN104751431A (en) | 2015-07-01 |
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| WO (1) | WO2015102945A1 (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109464199A (en) * | 2017-09-07 | 2019-03-15 | 西门子医疗有限公司 | Determine the method and data processing unit for adjusting the classification data for checking agreement |
| CN111476801A (en) * | 2020-03-31 | 2020-07-31 | 万翼科技有限公司 | Image segmentation method, electronic equipment and related product |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2000062241A1 (en) * | 1999-04-14 | 2000-10-19 | Tripath, Inc. | Method and apparatus for determining microscope specimen preparation type |
| WO2008105268A1 (en) * | 2007-02-28 | 2008-09-04 | Nikon Corporation | Image processing method |
| US20090060372A1 (en) * | 2007-08-27 | 2009-03-05 | Riverain Medical Group, Llc | Object removal from images |
| US20110002516A1 (en) * | 2008-04-07 | 2011-01-06 | Chihiro Manri | Method and device for dividing area of image of particle in urine |
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2013
- 2013-12-31 CN CN201310752691.6A patent/CN104751431A/en active Pending
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- 2014-12-19 WO PCT/US2014/071487 patent/WO2015102945A1/en active Application Filing
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2000062241A1 (en) * | 1999-04-14 | 2000-10-19 | Tripath, Inc. | Method and apparatus for determining microscope specimen preparation type |
| WO2008105268A1 (en) * | 2007-02-28 | 2008-09-04 | Nikon Corporation | Image processing method |
| US20090060372A1 (en) * | 2007-08-27 | 2009-03-05 | Riverain Medical Group, Llc | Object removal from images |
| US20110002516A1 (en) * | 2008-04-07 | 2011-01-06 | Chihiro Manri | Method and device for dividing area of image of particle in urine |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109464199A (en) * | 2017-09-07 | 2019-03-15 | 西门子医疗有限公司 | Determine the method and data processing unit for adjusting the classification data for checking agreement |
| CN111476801A (en) * | 2020-03-31 | 2020-07-31 | 万翼科技有限公司 | Image segmentation method, electronic equipment and related product |
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| Publication number | Publication date |
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| WO2015102945A1 (en) | 2015-07-09 |
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