CN108269259A - Image partition method based on Sections of Bone Marrow fluorescent marker - Google Patents
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- 238000000034 method Methods 0.000 title claims abstract description 41
- 239000003550 marker Substances 0.000 title claims abstract description 23
- 210000001185 bone marrow Anatomy 0.000 title claims abstract description 22
- 238000005192 partition Methods 0.000 title claims abstract description 21
- 238000012545 processing Methods 0.000 claims abstract description 14
- 238000001914 filtration Methods 0.000 claims abstract description 11
- 238000003384 imaging method Methods 0.000 claims abstract description 5
- 230000009467 reduction Effects 0.000 claims abstract description 5
- 230000002068 genetic effect Effects 0.000 claims description 14
- 230000011218 segmentation Effects 0.000 claims description 13
- 230000009466 transformation Effects 0.000 claims description 6
- 230000002708 enhancing effect Effects 0.000 abstract description 3
- 210000002798 bone marrow cell Anatomy 0.000 abstract description 2
- 238000005516 engineering process Methods 0.000 description 8
- 210000004027 cell Anatomy 0.000 description 7
- 230000000694 effects Effects 0.000 description 6
- 230000008569 process Effects 0.000 description 6
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- 230000008859 change Effects 0.000 description 3
- 230000001575 pathological effect Effects 0.000 description 3
- 238000002203 pretreatment Methods 0.000 description 3
- 230000003044 adaptive effect Effects 0.000 description 2
- 210000000988 bone and bone Anatomy 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 238000003709 image segmentation Methods 0.000 description 2
- 230000000877 morphologic effect Effects 0.000 description 2
- 238000007781 pre-processing Methods 0.000 description 2
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- 238000009360 aquaculture Methods 0.000 description 1
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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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/70—Denoising; Smoothing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10064—Fluorescence image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20024—Filtering details
- G06T2207/20032—Median filtering
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30008—Bone
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Abstract
The present invention provides a kind of image partition methods based on Sections of Bone Marrow fluorescent marker, include the following steps：Step 1：By microscopic imaging fluorescence system, original slice images are obtained；Step 2：According to original slice images, the original slice images are filtered with denoising, the sectioning image after filtering and noise reduction is obtained, is denoted as a liter matter image；Step 4：According to a liter matter image, nucleus is split, and is denoted as and has divided nucleus sectioning image, nucleus sectioning image has been divided in display.Image partition method provided by the invention based on Sections of Bone Marrow fluorescent marker, increases method by using contrast, and raw animal bone marrow cell image is carried out contrast enhancing, and more clearly image is provided for subsequent processing.
Description
Technical field
The present invention relates to, and in particular, to a kind of image partition method based on Sections of Bone Marrow fluorescent marker.
Background technology
In early 20th century, using machine come to handle picture be an extremely difficult thing.With computer hardware, image
Obtain equipment, the appearance continuously improved with high-performance workstation for showing equipment, image procossing this new branch of science is rapidly forward
Development.Image processing techniques is one and is based on linear algebra, statistical theory and physics, has very strong theoretical background
Research field, the rudimentary knowledge that it is needed include computer science, Digital Signal Processing, random process, statistical mathematics, matrix point
Analysis, information theory, cybernetics and optimal theoretical etc..Meanwhile image procossing is a subject combined closely with application again, is being cured
The fields such as, computer vision, geography, meteorology, aerospace are widely used.In general, Digital Image Processing
Including following content：
(1) point processing：The operations such as point processing primarily directed to the pixel of image add, be subtracted, multiplication and division.The point fortune of image
The histogram distribution of image can effectively be changed by calculating, all very useful to the resolution ratio and image equalization that improve image.
(2) geometric manipulations：Mainly the coordinate conversion including image, mobile, amplification, diminution, rotation etc..Geometric transformation can be with
The image of deformation is subjected to geometric correction, so as to obtain accurate image.
(3) image enhancement：This method is otherwise referred to as image filtering.Purpose is the visual effect in order to improve image, is made
Image is more conducive to computer disposal.
(4) image restoration：Purpose is removal interference and obscures, so as to restore the true colours of image.
(5) morphological image process：Morphological image is the extension of mathematical morphology, and image can be realized using the technology
Burn into refinement and segmentation and other effects.
(6) image encodes：Mainly image is carried out using the statistical properties of picture signal and human visual system
Coding, so as to achieve the purpose that compress image.
(7) image reconstruction：Image reconstruction derives from the development of microscopic imaging fluorescence technology, mainly utilizes the data of acquisition
To reconstruct image.
At present, although digital image processing techniques are rapidly developed in biology and medical domain, to Animal Bone
The analysis of marrow pathological image still belongs to blank in veterinary science research field at home.It is cut if can develop for marrow pathology
The analysis system of picture is simultaneously applied to practice, by obtaining animal health condition or disease to the analysis of marrow protection sectioning image
The report of reason situation will promote the development of veterinary science research field, and strong help is provided for livestock aquaculture.It moreover, will be existing
It is dissolved into the research of traditional zoopathology for the new and high technologies such as computer technology and information technology, to related discipline
Fusion will also play larger impetus.Pretreatment to marrow protection image is to carry out marrow protection image process and analysis
Basis, be develop marrow pathological section image analysis system key link.If raw animal marrow protection is sliced
Image can show the image for comparing that clearly nucleus, cytoplasm detach after a series of pretreatment, will be that marrow will be thin
Feature extraction, automatic identification and pathological analysis of born of the same parents etc. lay a good foundation.
Invention content
For the defects in the prior art, the object of the present invention is to provide a kind of figures based on Sections of Bone Marrow fluorescent marker
As dividing method.
According to a kind of image partition method based on Sections of Bone Marrow fluorescent marker provided by the invention, including walking as follows
Suddenly：Step 1：By microscopic imaging fluorescence system, original slice images are obtained；Step 2：According to original slice images, to described
Original slice images are filtered denoising, obtain the sectioning image after filtering and noise reduction, are denoted as a liter matter image；Step 4：According to a liter matter
Image splits nucleus, and is denoted as and has divided nucleus sectioning image, and nucleus sectioning image has been divided in display.
Preferably, in step 3：
By genetic algorithm, genetic algorithm, cluster segmentation algorithm and entropy theory are combined, the as heredity based on entropy gathers
Class partitioning algorithm, nucleus is split, and has as divided nucleus sectioning image.
Preferably, in step 2：
The gray scale contrast of original slice images is increased into multiple units.
Preferably, step 3 is further included；
The step 3：According to a liter matter image, a liter matter image is pre-processed；
The step 3 and step 2 are carried out at the same time.
Preferably, the step 2 includes following sub-step:
Step 2.1：By original slice images from space field transformation be frequency domain, and to the frequency domain sectioning image after transformation
It is handled, is denoted as frequency domain sectioning image；
Step 2.2：Frequency domain sectioning image is converted into back to spatial domain, obtains and rises matter image.
Preferably, the step 4 includes following sub-step：
Step 4.1：According to a liter matter image, cell segmentation is come out, is denoted as and has divided cell section image；
Step 4.2：According to cell section image has been divided, nucleus is split, is denoted as and has divided nucleus slice
Image, and show and divided nucleus sectioning image.
Compared with prior art, the present invention has following advantageous effect：
1st, the image partition method provided by the invention based on Sections of Bone Marrow fluorescent marker, increases by using contrast
Method, contrast enhancing is carried out by raw animal bone marrow cell image, and more clearly image is provided for subsequent processing.
2nd, the image partition method provided by the invention based on Sections of Bone Marrow fluorescent marker provides a kind of processing marrow
It is sliced the improved adaptive median filter method of the image of fluorescent marker.The method is realized according to image each section
Characteristic is adaptive selected window and carries out medium filtering.Several value filtering acquisition methods of the prior art are compared, the present invention carries
The medium filtering acquisition methods of confession, which achieve, makes us satisfied as a result, it is possible to effectively take into account smooth noise and protect edge guarantor
Details.
3rd, the image partition method provided by the invention based on Sections of Bone Marrow fluorescent marker, in the base of primary segmentation processing
On plinth, with reference to newer treatment technology --- genetic algorithm at present, entropy theory is introduced into genetic cluster dividing method, it is proposed that base
In the genetic cluster partitioning algorithm of entropy.Through many experiments, the acquisition median filter method is in terms of the nucleus segmentation of this paper
Achieve ideal segmentation effect.
4th, the image partition method provided by the invention based on Sections of Bone Marrow fluorescent marker, using practicality as starting point, is removed
It realizes other than above-mentioned preprocessing function, has done some relevant pretreatment works, for example, color space conversion, drafting Nogata
Calculating of figure, bitmap-converted and image statistics index etc..Auxiliary and bridge beam action are played for other processing work.
Description of the drawings
Upon reading the detailed description of non-limiting embodiments with reference to the following drawings, other feature of the invention,
Objects and advantages will become more apparent upon：
Fig. 1 is the flow chart of the image partition method provided by the invention based on Sections of Bone Marrow fluorescent marker.
Fig. 2 is the flow of the step 2 in the image partition method provided by the invention based on Sections of Bone Marrow fluorescent marker
Figure.
Fig. 3 is the flow of the step 4 in the image partition method provided by the invention based on Sections of Bone Marrow fluorescent marker
Figure.
Specific embodiment
With reference to specific embodiment, the present invention is described in detail.Following embodiment will be helpful to the technology of this field
Personnel further understand the present invention, but the invention is not limited in any way.It should be pointed out that the ordinary skill to this field
For personnel, without departing from the inventive concept of the premise, several changes and improvements can also be made.These belong to the present invention
Protection domain.
As shown in Figure 1, the present invention provides a kind of image partition method based on Sections of Bone Marrow fluorescent marker, including such as
Lower step：Step 1：By microscopic imaging fluorescence system, original slice images are obtained；Step 2：It is right according to original slice images
The original slice images are filtered denoising, obtain the sectioning image after filtering and noise reduction, are denoted as a liter matter image；Step 3：According to
Matter image is risen, a liter matter image is pre-processed；The step 3 and step 2 are carried out at the same time；Step process function is stated in realization
While, some relevant pretreatments are realized, to assist the realization of various preprocessing functions compared with effect；Step 4：According to liter
Matter image, nucleus is split, and is denoted as and has been divided nucleus sectioning image, and nucleus sectioning image has been divided in display.
The step 2 includes following sub-step:Step 2.1：By original slice images from spatial domain according to certain model, example
If Fourier transform is transformed to frequency domain, and the frequency domain sectioning image after transformation is handled, it is denoted as frequency domain slice map
Picture；Step 2.2：Frequency domain sectioning image is converted into back to spatial domain, obtains and rises matter image；Specifically, such as Fourier transform.
In step 2：The gray scale contrast of original slice images is increased into multiple units；By the grayscale of original slice images
The method of the multiple units of contrast increase farthest remains the information of original image while contrast is increased, and is suitble to bone
The increase contrast processing of marrow pathological image.
In step 3：By genetic algorithm, genetic algorithm, cluster segmentation algorithm and entropy theory are combined, are as based on
The genetic cluster partitioning algorithm of entropy, nucleus is split, and has as divided nucleus sectioning image, and is achieved and compared reason
The segmentation effect thought.Clustering algorithm is introduced into image segmentation process, cluster analysis is a kind of strong information processing method, it
Associated rule can be excavated out from the characteristic of research object, thus be widely used in image segmentation, pattern-recognition,
The fields such as feature extraction, Signal Compression.
The step 4 includes following sub-step：Step 4.1：According to a liter matter image, cell segmentation is come out, is denoted as and has divided
Cut cell section image；Step 4.2：According to cell section image has been divided, nucleus is split, is denoted as and has divided cell
Core sectioning image, and show and divided nucleus sectioning image.You need to add is that in step 4, by " survival of the fittest " into
Change it is theoretical introduce string structure, and carry out between bursts in a organized way but random information exchange.By genetic manipulation, make excellent
Quality is by continuous reservation, combination, so as to constantly produce more preferably individual.A large amount of letters of parent individuality are included in offspring individual
Breath, and surpass parent individuality on the whole, so as to make population evolutionary development forward, i.e., constantly close to optimal solution.
The image partition method provided by the invention based on Sections of Bone Marrow fluorescent marker is further described below：
As shown in Figure 1, step 1, for the sectioning image to degrade, the algorithm being suitble to after application enhancements is carried out at enhancing denoising
Reason.For the feature of handled image, i.e. original slice images, medium filtering window is made considered below.Firstly, because figure
Picture, i.e. original slice images each section feature are different, and window is preferably multiple dimensioned, and therefore, present invention employs 3 × 3,5
The square window of × 5 two kinds of different scales and a multistage weighted filtering window are as candidate window；Secondly, judge that gray scale becomes
Change whether gentle standard, employ window gray variance size as criterion.The window of gray variance minimum is selected to make
Filtering and noise reduction operation is completed for final filter window
Step 2, it on the basis of analyzing, understanding weak phase algorithm, proposes innovatory algorithm and does in-depth study, to more
Effectively nucleus is split.According to the histogram of image, the region obtained after threshold value will be taken to regard its subgraph as
Picture selects peak dot and regional value as histogram to each subgraph again, constantly repeats the above process, until can not find new peak dot
Or until region becomes too small.
Step 3, while realization more than processing function, some relevant pretreatments are realized, to assist various pretreatments
The realization of function is compared with effect；
Step 4, genetic algorithm is introduced, genetic algorithm, cluster segmentation algorithm and entropy theory are combined, it is proposed that improves and calculates
Method is the genetic cluster partitioning algorithm based on entropy, and achieves more satisfactory segmentation effect.
Specific embodiments of the present invention are described above.It is to be appreciated that the invention is not limited in above-mentioned
Particular implementation, those skilled in the art can make a variety of changes or change within the scope of the claims, this not shadow
Ring the substantive content of the present invention.In the absence of conflict, the feature in embodiments herein and embodiment can arbitrary phase
Mutually combination.
Claims (6)
1. a kind of image partition method based on Sections of Bone Marrow fluorescent marker, which is characterized in that include the following steps：
Step 1：By microscopic imaging fluorescence system, original slice images are obtained；
Step 2：According to original slice images, the original slice images are filtered with denoising, obtains cutting after filtering and noise reduction
Picture is denoted as a liter matter image；
Step 4：According to a liter matter image, nucleus is split, and is denoted as and has divided nucleus sectioning image, display has been divided
Nucleus sectioning image.
2. the image partition method according to claim 1 based on Sections of Bone Marrow fluorescent marker, which is characterized in that in step
In rapid 3：
By genetic algorithm, genetic algorithm, cluster segmentation algorithm and entropy theory are combined, as the genetic cluster based on entropy point
Algorithm is cut, nucleus is split, has as divided nucleus sectioning image.
3. the image partition method according to claim 1 based on Sections of Bone Marrow fluorescent marker, which is characterized in that in step
In rapid 2：
The gray scale contrast of original slice images is increased into multiple units.
4. the image partition method according to claim 1 based on Sections of Bone Marrow fluorescent marker, which is characterized in that also wrap
Include step 3；
The step 3：According to a liter matter image, a liter matter image is pre-processed；
The step 3 and step 2 are carried out at the same time.
5. the image partition method according to claim 1 based on Sections of Bone Marrow fluorescent marker, which is characterized in that described
Step 2 includes following sub-step:
Step 2.1：By original slice images from space field transformation be frequency domain, and to after transformation frequency domain sectioning image carry out
Processing, is denoted as frequency domain sectioning image；
Step 2.2：Frequency domain sectioning image is converted into back to spatial domain, obtains and rises matter image.
6. the image partition method according to claim 1 based on Sections of Bone Marrow fluorescent marker, which is characterized in that described
Step 4 includes following sub-step：
Step 4.1：According to a liter matter image, cell segmentation is come out, is denoted as and has divided cell section image；
Step 4.2：According to cell section image has been divided, nucleus is split, is denoted as and has divided nucleus sectioning image,
And it shows and has divided nucleus sectioning image.
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Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2002057997A1 (en) * | 2001-01-18 | 2002-07-25 | Cellavision Ab | Method and arrangement for segmenting white blood cells in a digital colour image |
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Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2002057997A1 (en) * | 2001-01-18 | 2002-07-25 | Cellavision Ab | Method and arrangement for segmenting white blood cells in a digital colour image |
Non-Patent Citations (3)
| Title |
|---|
| 侯振杰等: "一种基于遗传算法的骨髓细胞图像分割方法", 《计算机工程与科学》 * |
| 张红民: "厚组织荧光显微图像复原方法研究", 《中国博士学位论文全文数据库 信息科技辑》 * |
| 王利宏: "动物骨髓病理切片图像的计算机预处理研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
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