CN109345493A - A kind of method of non-woven cloth multi-focal-plane image co-registration - Google Patents
A kind of method of non-woven cloth multi-focal-plane image co-registration Download PDFInfo
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- CN109345493A CN109345493A CN201811029779.4A CN201811029779A CN109345493A CN 109345493 A CN109345493 A CN 109345493A CN 201811029779 A CN201811029779 A CN 201811029779A CN 109345493 A CN109345493 A CN 109345493A
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- 239000004744 fabric Substances 0.000 title claims abstract description 79
- 238000000034 method Methods 0.000 title claims abstract description 19
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- 238000012545 processing Methods 0.000 claims abstract description 9
- 238000001914 filtration Methods 0.000 claims abstract description 8
- 230000004927 fusion Effects 0.000 claims abstract description 5
- 238000005070 sampling Methods 0.000 claims abstract description 5
- 238000000354 decomposition reaction Methods 0.000 claims abstract description 4
- 238000007500 overflow downdraw method Methods 0.000 claims description 7
- 238000003384 imaging method Methods 0.000 claims description 6
- 239000000835 fiber Substances 0.000 abstract description 9
- 238000012216 screening Methods 0.000 abstract 1
- 230000009286 beneficial effect Effects 0.000 description 2
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- 238000013425 morphometry Methods 0.000 description 1
- 238000000399 optical microscopy Methods 0.000 description 1
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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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Abstract
A kind of method that the present invention discloses non-woven cloth multi-focal-plane image co-registration comprising following steps: several non-woven cloth source images are acquired；Threshold sampling, pre-filtering processing are carried out to the non-woven cloth source images, obtain the vector signal of non-woven cloth source images；Obtain high fdrequency component and low frequency component and high frequency blending image and low frequency blending image；The inverse operation that image pre-filtering and the decomposition of GHM m ultiwavelet are carried out to high frequency blending image and low frequency blending image obtains blending image and as new first single focal plane source figure；One is randomly choosed from the vector signal of remaining multiple non-woven cloth source images as new second single focal plane source figure, until the fusion of several non-woven cloth source images finishes.The present invention enables fiber to be clearly apparent in piece image by way of screening the high fdrequency component of several non-woven cloth source images and low frequency component and repeatedly merging.
Description
Technical field
The present invention relates to field of image processings, specifically, the present invention relates to a kind of non-woven cloth multi-focal-plane image co-registrations
Method.
Background technique
The function of non-woven cloth and the porous structure of fiber assembly are closely related, therefore can obtain these structural parameters
And then the connection between performance is found, all there is highly important directive significance to production and purposes.With the hair of computer technology
Exhibition, digital image processing method become the effective tool of research structure and performance.And picture quality is to the morphometry and knot of fiber
Structure parsing is most important.
In acquisition, the thickness of non-woven cloth is not enough to the depth of field of general optical microscopy, and all fibers is equal
Clearly it is apparent in piece image.Based on the measurement of this incomplete focusedimage, fibre structure will be it is inaccurate, even
Can have to subsequent processing certain misleading.
Summary of the invention
It cannot be clearly apparent in the problems in piece image in order to solve fiber, present invention introduces multi-focal-plane fusions to propose
A kind of method that fiber can be clearly apparent in non-woven cloth multi-focal-plane image co-registration in piece image.
To achieve the above object, a kind of method of non-woven cloth multi-focal-plane image co-registration of the present invention, includes the following steps:
Step S1: acquiring several non-woven cloth source images, wherein the width base of the non-woven cloth source images is in non-woven
The thickness of cloth determines；
Step S2: threshold sampling, pre-filtering processing are carried out to the non-woven cloth source images, obtain the non-woven cloth source
The vector signal of image；
Step S3: two are randomly choosed from the vector signal of the multiple non-woven cloth source images, one of conduct
First single focal plane source figure, another is then used as second single focal plane source figure, to described first single focal plane source figure and second single coke
Face source figure carries out the processing of GHM m ultiwavelet, respectively obtains the high frequency of described first single focal plane source figure and second single focal plane source figure
Component and low frequency component；
Step S4: directionality and energy Weighted Fusion method based on region handle the high fdrequency component, and according to region
Matching degree selection region energy maximum absolute value person is used as high frequency blending image；
Step S5: the fusion method of the Local Deviation based on layer dependencies handles the low frequency component, and described in lookup
Useful information position in first single focal plane source figure and second single focal plane source figure, when described first single focal plane source figure and described
When the pixel value difference of second single focal plane source figure meets preset threshold, the related coefficient that two width correspond to decomposition layer, selected value phase are calculated
Relationship number is big, and pixel value difference is in preset threshold, and the small region of variance yields is as low frequency blending image；
Step S6: image pre-filtering is carried out to the high frequency blending image and low frequency blending image and GHM m ultiwavelet decomposes
Inverse operation, obtain blending image and as new first single focal plane source figure；
Step S7: from the vector signal of remaining the multiple non-woven cloth source images randomly choose one as newly
Second single focal plane source figure, repeats step S3-S7, until several non-woven cloth source images fusion finishes.
Preferably, the width base of the non-woven cloth source images is in the non-woven cloth source that the thickness of non-woven cloth determines
The width number of image is 15-20 width.
Preferably, described several non-woven cloth source images of acquisition include the following steps:
Several non-woven cloth source images are acquired using non-woven cloth micro imaging system.
Preferably, described that several non-woven cloth source images are acquired including walking as follows using non-woven cloth micro imaging system
It is rapid:
A digital camera connecting with computer is placed on microscope ocular；
Several non-woven cloth source images are shot from top to bottom according to preset interval distance under the same perspective.
Preferably, the preset interval is 4-6 millimeters.
Compared with prior art, a kind of method of non-woven cloth multi-focal-plane image co-registration of the present invention has following beneficial to effect
Fruit:
A kind of method of non-woven cloth multi-focal-plane image co-registration of the present invention is by by the high frequency of several non-woven cloth source images
Component and low frequency component carry out the mode screened and repeatedly merged, and fiber is clearly apparent in piece image, side
The subsequent use of people.
The additional aspect of the present invention and advantage will be set forth in part in the description, these will become from the following description
Obviously, or practice through the invention is recognized.
Detailed description of the invention
Above-mentioned and/or additional aspect and advantage of the invention will become from the following description of the accompanying drawings of embodiments
Obviously and it is readily appreciated that, in which:
Fig. 1 is a kind of flow diagram of the method for non-woven cloth multi-focal-plane image co-registration of the embodiment of the present invention.
Specific embodiment
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end
Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached
The embodiment of figure description is exemplary, and for explaining only the invention, and is not construed as limiting the claims.
Referring to Fig. 1, a kind of method of non-woven cloth multi-focal-plane image co-registration of the present invention, includes the following steps:
Step S1: acquiring several non-woven cloth source images, wherein the width base of the non-woven cloth source images is in non-woven
The thickness of cloth determines.
Specifically, several non-woven cloth source images are acquired to include the following steps:
Several non-woven cloth source images are acquired using non-woven cloth micro imaging system.
In some embodiments, acquiring several non-woven cloth source images using non-woven cloth micro imaging system includes such as
Lower step:
A digital camera connecting with computer is placed on microscope ocular；
Several non-woven cloth source images are shot from top to bottom according to preset interval distance under the same perspective.Between wherein presetting
It is divided into 4-6 millimeters.
Preferably, the width for the non-woven cloth source images that the width base of non-woven cloth source images is determined in the thickness of non-woven cloth
Number is 15-20 width.
Step S2: threshold sampling, pre-filtering processing are carried out to the non-woven cloth source images, obtain the non-woven cloth source
The vector signal of image.
In some embodiments, temporary sample is to carry out r × r rank threshold sampling to non-woven cloth source images, wherein r
For the natural number greater than 0.
Step S3: two are randomly choosed from the vector signal of the multiple non-woven cloth source images, one of conduct
First single focal plane source figure, another is then used as second single focal plane source figure, to described first single focal plane source figure and second single coke
Face source figure carries out the processing of GHM m ultiwavelet, respectively obtains the high frequency of described first single focal plane source figure and second single focal plane source figure
Component and low frequency component.
GHM m ultiwavelet is Geronimo, Hardin and Massopus in construction in 1994, it had both maintained single wavelet institute
The localization property for the good time-domain and frequency-domain having, and the defect of single wavelet is overcome, it will be particularly significant in practical application
Slickness, compact sup-port, symmetry, orthogonality be ideally combined together, be applied successfully to the denoising of image, achieve good
Good effect.
Step S4: directionality and energy Weighted Fusion method based on region handle the high fdrequency component, and according to region
Matching degree selection region energy maximum absolute value person is used as high frequency blending image.
Directionality and energy Weighted Fusion method based on region consider the correlation in image between pixel, by image
Local feature further embody, according to the high fdrequency component of different directions have different resolution characteristic, final choice
Most significant feature, is retained in final result.Using Region Matching degree selection region energy maximum absolute value person, these
It is worth the significant edge of maximum character pair, line segment greatly absolutely, can be used as high frequency blending image.
Step S5: the fusion method of the Local Deviation based on layer dependencies handles the low frequency component, and described in lookup
Useful information position in first single focal plane source figure and second single focal plane source figure, when described first single focal plane source figure and described
When the pixel value difference of second single focal plane source figure meets preset threshold, the related coefficient that two width correspond to decomposition layer, selected value phase are calculated
Relationship number is big, and pixel value difference is in preset threshold, and the small region of variance yields is as low frequency blending image.
Preferably, preset threshold 0-0.01.
Step S6: image pre-filtering is carried out to the high frequency blending image and low frequency blending image and GHM m ultiwavelet decomposes
Inverse operation, obtain blending image and as new first single focal plane source figure.
Step S7: from the vector signal of remaining the multiple non-woven cloth source images randomly choose one as newly
Second single focal plane source figure, repeats step S3-S7, until several non-woven cloth source images fusion finishes.
Compared with prior art, a kind of method of non-woven cloth multi-focal-plane image co-registration of the embodiment of the present invention has and has as follows
Beneficial effect:
A kind of method of non-woven cloth multi-focal-plane image co-registration of the embodiment of the present invention is by by several non-woven cloth source images
High fdrequency component and low frequency component screen and the mode that repeatedly merges, enable fiber to be clearly apparent in piece image
In, facilitate the subsequent use of people.
The above is only some embodiments of the invention, it is noted that for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (5)
1. a kind of method of non-woven cloth multi-focal-plane image co-registration, which is characterized in that the non-woven cloth multi-focal-plane image co-registration
Method include the following steps:
Step S1: acquiring several non-woven cloth source images, wherein the width base of the non-woven cloth source images is in non-woven cloth
Thickness determines；
Step S2: threshold sampling, pre-filtering processing are carried out to the non-woven cloth source images, obtain the non-woven cloth source images
Vector signal；
Step S3: two are randomly choosed from the vector signal of the multiple non-woven cloth source images, one of them is as first
Single focal plane source figure, another is then used as second single focal plane source figure, to described first single focal plane source figure and second single focal plane source
Figure carries out the processing of GHM m ultiwavelet, respectively obtains the high fdrequency component of described first single focal plane source figure and second single focal plane source figure
And low frequency component；
Step S4: directionality and energy Weighted Fusion method based on region handle the high fdrequency component, and according to Region Matching
It spends selection region energy maximum absolute value person and is used as high frequency blending image；
Step S5: the fusion method of the Local Deviation based on layer dependencies handles the low frequency component, and searches described first
Useful information position in single focal plane source figure and second single focal plane source figure, when described first single focal plane source figure and described second
When the pixel value difference of single focal plane source figure meets preset threshold, the related coefficient that two width correspond to decomposition layer, selected value phase relation are calculated
Number is big, and pixel value difference is in preset threshold, and the small region of variance yields is as low frequency blending image；
Step S6: the high frequency blending image and the progress image pre-filtering of low frequency blending image and GHM m ultiwavelet are decomposed inverse
Operation obtains blending image and as new first single focal plane source figure；
Step S7: one is randomly choosed from the vector signal of remaining the multiple non-woven cloth source images as new second
Single focal plane source figure repeats step S3-S7, until several non-woven cloth source images fusion finishes.
2. the method for non-woven cloth multi-focal-plane image co-registration as described in claim 1, which is characterized in that the non-woven cloth source
The width base of image is 15-20 width in the width number for the non-woven cloth source images that the thickness of non-woven cloth determines.
3. the method for non-woven cloth multi-focal-plane image co-registration as described in claim 1, which is characterized in that several are non-for the acquisition
Woven cloths source images include the following steps:
Several non-woven cloth source images are acquired using non-woven cloth micro imaging system.
4. the method for non-woven cloth multi-focal-plane image co-registration as claimed in claim 3, which is characterized in that described using non-woven
Cloth micro imaging system acquires several non-woven cloth source images and includes the following steps:
A digital camera connecting with computer is placed on microscope ocular；
Several non-woven cloth source images are shot from top to bottom according to preset interval distance under the same perspective.
5. the method for non-woven cloth multi-focal-plane image co-registration as claimed in claim 4, which is characterized in that the preset interval is
4-6 millimeters.
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Cited By (1)
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| CN112991518A (en) * | 2021-03-10 | 2021-06-18 | 上海工程技术大学 | Three-dimensional reconstruction method for microstructure of non-woven fabric |
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Application publication date: 20190215 |