CN107527354B - A kind of region growing method based on composite diagram - Google Patents
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- 239000002131 composite material Substances 0.000 title claims abstract description 64
- 238000010586 diagram Methods 0.000 title claims abstract description 64
- 238000000034 method Methods 0.000 title claims abstract description 36
- 238000001914 filtration Methods 0.000 claims abstract description 21
- 230000000877 morphologic effect Effects 0.000 claims abstract description 18
- 239000012535 impurity Substances 0.000 claims abstract description 9
- 230000001154 acute effect Effects 0.000 claims description 6
- 238000005260 corrosion Methods 0.000 claims description 4
- 230000007797 corrosion Effects 0.000 claims description 4
- 238000001514 detection method Methods 0.000 claims description 4
- 235000013399 edible fruits Nutrition 0.000 claims description 2
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- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 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
- G06T7/187—Segmentation; Edge detection involving region growing; involving region merging; involving connected component labelling
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- G06T5/70—
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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
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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
- G06T7/136—Segmentation; Edge detection involving thresholding
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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
- G06T7/155—Segmentation; Edge detection involving morphological operators
Abstract
The invention discloses a kind of region growing methods based on composite diagram: step 1, carrying out gray proces, filtering processing and thresholding to original fracture image and handles, obtain composite diagram；Step 2, Morphological scale-space and filtration treatment are carried out to composite diagram, obtains the drawing of seeds in target crack；Step 3, according to the minimum circumscribed rectangle of connected regions all in the drawing of seeds in target crack, selection after the growth district in the drawing of seeds in target crack to growing, the crack image after being grown.The present invention is grown according to the mode that drawing of seeds and composite diagram separate, growth position is determined by drawing of seeds and acts on the composite diagram of corresponding position, judge whether to grow and then return in drawing of seeds to be grown by composite diagram, it avoids the other positions in region and grows impurity information, so that the crack information after growth is more clear completely, accuracy is high；Due to judgement growth be in composite diagram rather than original image, the traversal small complexity in region is low, and treatment effeciency is high.
Description
Technical field
The invention belongs to field of road, are related to a kind of image processing techniques, specifically a kind of area based on composite diagram
Domain growing method.
Background technique
In the processing application to image, scientific research personnel in many cases only feels some or the certain parts in image
Interest, these parts are referred to as target or prospect, they often correspond to the area having in image different from other background properties
Domain.For better research and analysis target, needs therefrom to split them, it is effective to be then possible to further progress
Utilization.
Image segmentation is a kind of important image processing techniques, its application range is very extensive, is almost related to
The field that all related image procossings occur, it not only occurs in the lab, more closely bound up with our daily life.Area
Domain growth is exactly a kind of method of region segmentation, and the method for region growing generally requires divided region with certain specific
Whether common trait meets fusion standard by the point constantly compared around seed point to reach the growth of relevant range.It is existing
Some growing methods are usually directly to grow in original image, and the point that many does not need growth is usually considered as seed under this mode
Point increases the task amount of growth, so that runing time increases, efficiency is lower.
Summary of the invention
In view of the above-mentioned drawbacks of the prior art or insufficient, the object of the present invention is to provide one kind to be based on composite diagram
Region growing method.
To achieve the goals above, the present invention is realised by adopting the following technical scheme:
A kind of region growing method based on composite diagram, the processing step of this method are as follows:
Step 1, gray proces, filtering processing and thresholding processing are successively carried out to original fracture image, obtain thresholding
Treated image, the non-crack area of image obtained after thresholding is white (pixel 255), by the coordinate pair of non-crack area
255 should be set to the corresponding position in original fracture image grayscale figure, and by the position pixel, obtained image is as composite diagram；
Step 2, Morphological scale-space and filtration treatment are successively carried out to composite diagram, obtains the drawing of seeds in target crack；
Step 3, it according to the minimum circumscribed rectangle of connected regions all in the drawing of seeds in target crack, selects to target crack
Drawing of seeds in growth district after grown, the crack image after being grown.
Further, the step 1 specifically includes following sub-step:
Step 11, the target crack of fracture picture first carries out gray processing processing, obtains gray level image；
Step 12, gray level image is divided into the identical block of pixels of multiple sizes, each block of pixels is filtered respectively
Processing uses mean filter or median filter method, to remove invalid interference impurity, thus the image after being filtered；
Step 13, thresholding processing is carried out to the image after filtering processing, obtains thresholding treated image.
Step 14, the non-crack area coordinate of the image after thresholding is corresponded in the gray level image of step 11, by phase
It answers position coordinates pixel to set 255, obtains composite diagram.
Further, the step 2 specifically includes following sub-step:
Step 21, to composite diagram carry out Morphological scale-space, the Morphological scale-space specifically successively carry out expansion process and
Corrosion treatment, the image after obtaining Morphological scale-space；
Step 22, the crack in the image after Morphological scale-space is filtered；Filtering rule: boundary rectangle is filtered out
Crack of the length-width ratio less than 1/3, meanwhile, the mean value of all connected region areas in computation of morphology treated image, filtering
Fall the crack that area is less than the mean value, obtains the drawing of seeds in target crack.
Further, the step 3 specifically includes following sub-step:
Step 31, target crack, the first length in acquisition crack, width, location information are calculated for convenience, extract target
The minimum circumscribed rectangle of all connected regions in the drawing of seeds in crack；
Step 32, by the angle direction in crack, determine that growth district is in the position of minimum circumscribed rectangle, specifically: such as
Shown in Fig. 1, if it is acute angle, then growth district is in the top in the upper right corner of boundary rectangle and the lower section in the lower left corner；If it is blunt
Angle, then growth district is in the left side in the upper left corner of boundary rectangle and the right side in the lower right corner；；Obtain detection figure；
Step 33, in order to ensure the crack that do not slip, the starting point for the growth district that step 32 is obtained is as seed point
The composite diagram corresponding position in step 14 is corresponded to, judges whether to have within the scope of the n*n centered on seed point undetected
Crack, specifically:
According to seed point coordinate, the connected domain of respective coordinates in composite diagram is found, calculates all gray scales in the connected region
It is worth the average value less than 255 gray-value pixel points；Traverse each picture that current minimum circumscribed rectangle is not belonging in the n*n range
Element, if the absolute difference of some pixel value and average value is not less than constant K, K takes 2~6, then it is assumed that the pixel is not split
Stitch information；If it is less than K, then it is assumed that the pixel is crack information, to obtain new crack；According to all new cracks
Length, width, location information extract the minimum circumscribed rectangle of each connected domain；(the pixel discrete for one, not by it
As crack information；) execute step 32；If not detecting new crack, step 34 is carried out；Step 34, in order to avoid life
More impurity information are grown, all seed points that step 33 is obtained correspond to corresponding positions in the composite diagram that step 13 obtains
It sets, calculates and whether grow, calculated result is then grown in the drawing of seeds in target crack if it is growth；Otherwise, it does not give birth to
It is long；Crack image after then being grown.
Further, the search n*n range in the step 33, wherein the determination process of n is as follows:
The distance in each crack crack adjacent thereto in the drawing of seeds in the target crack that step 22 obtains is calculated, statistics is all
Two-by-two fracture interval from, calculate all distance values average value and the sum of intermediate value 1/2, be the convolution n of the detection figure.(such as
Fruit result is integer and is even number, then n takes the biggish odd number adjacent with the even number；If n is decimal and integer part is odd
It counts, then n round numbers part；If integer part is even number, n takes the biggish odd number adjacent with the even number.)
Further, the interstitial distance of calculating refers to the distance calculated between the center of mass point of crack.
Further, the step 34 specifically includes following sub-step:
Whether the calculating grows that specific step is as follows: the drawing of seeds in the target crack obtained due to step 22 is by step
Rapid 14 obtained composite diagrams are handled step by step to be obtained, so part connected region includes the seed in target crack in composite diagram
The seed point of figure.According to the seed point coordinate of the drawing of seeds in target crack, the connected domain of respective coordinates in composite diagram is found, is calculated
All average values less than 255 gray-value pixel points in the connected region, if the pixel in composite diagram with seed point corresponding points
Value and the absolute difference of the average value are not less than constant K, and K takes 2~6, then it is assumed that the growth district is not crack area, will
The pixel value that seed point is corresponded in the drawing of seeds in target crack sets 0, i.e., does not grow；If it is less than K, then it is assumed that the growth district is
The pixel value that the drawing of seeds in target crack corresponds to seed point is set 1 by crack area, i.e., is grown using the seed point as starting point.
Compared with existing growing method, beneficial effects of the present invention are as follows:
1, in method of the invention, the mode separated according to drawing of seeds and composite diagram is grown, and determines life by drawing of seeds
Long position and the composite diagram for acting on corresponding position are judged whether to grow and then return in drawing of seeds to be grown by composite diagram,
This avoid the other positions in region to grow impurity information, so that the crack information after growth is more clear, is complete
It is whole, to reach higher accuracy.
2, due to judging that growth is in composite diagram rather than original image, the region for allowing for traversal image become smaller, complexity
It is low, handle the more efficient of image.
Detailed description of the invention
Fig. 1 is the flow chart of method of the invention.Wherein, in the case of (a), (b) indicate that crack and horizontal direction are obtuse angle
Horizontal fracture and vertical crack；(c), (d) indicates that crack is horizontal fracture in the case of acute angle with horizontal direction and splits vertically
Seam.
Fig. 2 is original crack pattern piece in the embodiment of the present invention.
Fig. 3 is thresholding treated composite diagram in the embodiment of the present invention.
Fig. 4 is the drawing of seeds in the embodiment of the present invention.
Fig. 5 is the effect picture after growth.
The present invention is further explained below in conjunction with the drawings and specific embodiments.
Specific embodiment
The present invention provides a kind of region growing method based on composite diagram, the processing step of this method is as follows:
Step 1, gray proces, filtering processing and thresholding processing are successively carried out to original fracture image, obtain thresholding
Treated image, non-crack area is white (pixel 255) after thresholding, and the coordinate of non-crack area is corresponded to original split
Corresponding position in image grayscale figure is stitched, and the position pixel is set 255, obtained image is as composite diagram.It is specifically divided into as follows
Sub-step:
Step 11, the target crack of fracture picture first carries out gray processing processing, obtains gray level image；
Step 12, gray level image is divided into the identical block of pixels of multiple sizes, each block of pixels is filtered respectively
Processing uses mean filter or median filter method, to remove invalid interference impurity, thus the image after being filtered；
Step 13, thresholding processing is carried out to the image after filtering processing, obtains thresholding treated figure；
Step 14, non-crack area (pixel 255) coordinate of the figure after thresholding is corresponded to the gray level image of step 11
In, corresponding position coordinate pixel is set 255, obtains composite diagram.
Step 2, Morphological scale-space and filtration treatment are successively carried out to composite diagram, obtains the drawing of seeds in target crack.Specifically
It is divided into following sub-step:
Step 21, to composite diagram carry out Morphological scale-space, the Morphological scale-space specifically successively carry out expansion process and
Corrosion treatment, the image after obtaining Morphological scale-space；
Step 22, the crack in the image after Morphological scale-space is filtered；Filtering rule: boundary rectangle is filtered out
Crack of the length-width ratio less than 1/3, meanwhile, the mean value of all connected region areas in computation of morphology treated image, filtering
Fall the crack that area is less than the mean value, obtains the drawing of seeds in target crack.
Step 3, it according to the minimum circumscribed rectangle of connected regions all in the drawing of seeds in target crack, selects to target crack
Drawing of seeds in growth district after grown, the crack image after being grown.Specifically include following sub-step:
Step 31, target crack, the first length in acquisition crack, width, location information are calculated for convenience, extract target
The minimum circumscribed rectangle of all connected regions in the drawing of seeds in crack；
Step 32, by the angle direction (i.e. crack and horizontal direction is acute angle or obtuse angle) in crack, growth district is determined
Position in boundary rectangle, specifically: as shown in Fig. 1 (c), (d), if it is acute angle, then growth district is in boundary rectangle
The top in the upper right corner and the lower section in the lower left corner；Such as Fig. 1 (a), (b), if it is obtuse angle, then growth district is in the upper left of boundary rectangle
The left side at angle and the right side in the lower right corner；(in Fig. 1, the small frame at rectangle diagonal line both ends represents the position of region growing, and lines represent
The locality information in crack；The width of growth district is generally two fracture lengths, and length is 100 pixels)；It is detected
Figure；
Step 33, in order to ensure the crack that do not slip, the starting point (extreme point) for the growth district that step 32 is obtained is made
The composite diagram corresponding position in step 14 is corresponded to for seed point, judges whether have not within the scope of the n*n centered on seed point
The crack detected, specifically: according to seed point coordinate, finding the connected domain of respective coordinates in composite diagram, calculate the connected domain
The average value of interior pixel of all gray values less than 255；It traverses in the n*n range and is not belonging to the every of current minimum circumscribed rectangle
A pixel, if the absolute difference of some pixel value and average value is not less than constant K, K takes 2~6, then it is assumed that the pixel is not
It is crack information；If it is less than K, then it is assumed that the pixel is crack information, to obtain new crack；It is split according to all new
The length of seam, width, location information extract the minimum circumscribed rectangle of each connected domain；(pixel discrete for one, no
As crack information；) execute step 32；If not detecting new crack, step 34 is carried out；
Wherein, the determination of n: each crack crack adjacent thereto in the drawing of seeds in the target crack that step 22 obtains is calculated
Distance, (calculating interstitial distance method here is the distance asked between the center of mass point of crack), count all fracture intervals two-by-two from,
Calculate all distance values average value and the sum of intermediate value 1/2, be the convolution n of the detection figure.If (n is even number n=n+1；
If n is decimal, using the principle that rounds up.)
Step 34, in order to avoid growing more impurity information, all seed points that step 33 is obtained correspond to step
Whether corresponding position in rapid 14 obtained composite diagrams calculates and grows, and calculated result is if it is growth, then in the seed in target crack
It is grown in figure；Otherwise, it does not grow；Crack image after then being grown.
Whether above-mentioned calculating grows that specific step is as follows: the drawing of seeds in the target crack obtained due to step 22 is by step
Rapid 14 obtained composite diagrams are handled step by step to be obtained, so part connected region includes the seed in target crack in composite diagram
The seed point of figure.According to the seed point coordinate of the drawing of seeds in target crack, the connected domain of respective coordinates in composite diagram is found, is calculated
All average values less than 255 gray-value pixel points in the connected region, if the pixel in composite diagram with seed point corresponding points
Value and the absolute difference of the average value are not less than constant K (K takes 2~6), then it is assumed that the growth district is not crack area, will
The pixel value that seed point is corresponded in the drawing of seeds in target crack sets 0, i.e., does not grow；If it is less than K, then it is assumed that the growth district is
The pixel value that the drawing of seeds in target crack corresponds to seed point is set 1 by crack area, i.e., is grown using the seed point as starting point；
Crack image after finally obtaining growth.
Embodiment:
Region growing method provided in this embodiment based on connected region, includes the following steps:
Step 1, gray proces, filtering processing and thresholding are successively carried out to original fracture image shown in Fig. 2 to handle, is obtained
To thresholding treated image, non-crack area is white (pixel 255) after thresholding, and the coordinate pair of non-crack area is answered
The corresponding position into original fracture image grayscale figure, and the position pixel is set 255, obtained image is as composite diagram.Specifically
It is divided into following sub-step:
Step 11, the target crack of fracture picture first carries out gray processing processing, obtains gray level image；
Step 12, gray level image is divided into 10 × 10 block of pixels, mean filter processing is carried out to each block of pixels, is obtained
Image after to filtering processing；
Step 13, thresholding processing is carried out to the image after filtering processing, schemed after obtaining thresholding processing.
Step 14, non-crack area (pixel 255) coordinate of the figure after thresholding is corresponded to the gray level image of step 11
In, corresponding position coordinate pixel is set 255, obtains composite diagram.(referring to Fig. 3)；
Step 2, Morphological scale-space and filtration treatment are successively carried out to composite diagram, obtains the drawing of seeds in target crack.Specifically
It is divided into following sub-step:
Step 21, to thresholding, treated that composite diagram successively carries out expansion process and corrosion treatment, obtains at morphology
Image after reason；
Step 22, the crack in the image after Morphological scale-space is filtered, filtering rule is to filter out boundary rectangle
Crack of the length-width ratio less than 1/3, meanwhile, calculate the mean value of all connected region areas, filter out splitting for the following area of mean value
Seam, obtains the drawing of seeds in target crack.
Step 3, it according to the minimum circumscribed rectangle of connected regions all in the drawing of seeds in target crack, selects to target crack
Drawing of seeds in growth district after grown, the crack image after being grown.Specifically include following sub-step:
Step 31, the minimum circumscribed rectangle of all connected regions in the drawing of seeds in target crack is extracted；
Step 32, by the angle direction (i.e. crack and horizontal direction is in acute angle or obtuse angle) in crack, vitellarium is determined
Domain is in the position of boundary rectangle, to find out two orientation for being suitble to growth, i.e. two extreme points (as shown in Figure 1).
Step 33, in order to ensure the crack that do not slip, the starting point (extreme point) for the growth district that step 32 is obtained is made
The composite diagram corresponding position in step 14 is corresponded to for seed point, judges whether have not within the scope of the n*n centered on seed point
The crack detected；According to the length in all new cracks, width, location information, the external square of minimum of each connected domain is extracted
Shape；(the pixel discrete for one, not as crack information；) execute step 32；If not detecting new split
Seam carries out step 34；
Step 34, in order to avoid growing more impurity information, all seed points that step 33 is obtained correspond to step
Whether corresponding position in rapid 13 obtained composite diagrams calculates and grows, and calculated result is if it is growth, then in the seed in target crack
It is grown in figure；Otherwise, it does not grow；Crack image after then being grown.
All extreme point positions are traversed, determines corresponding to the position in composite diagram, judges whether to grow by connected region,
Then it corresponds to drawing of seeds corresponding position to be grown, to obtain the crack image after growth as shown in Figure 4.
From embodiment as can be seen that the present invention has the advantages that
1, the mode separated according to drawing of seeds and composite diagram is grown, and is determined growth position by drawing of seeds and is acted on phase
The composite diagram for answering position is judged whether to grow and then return in drawing of seeds to be grown, so as to avoid in region by composite diagram
Interior other positions grow impurity information, so that the crack information after growth is more clear, completely (such as Fig. 4), to reach
Higher accuracy is arrived.
2, due to judging that growth is in composite diagram rather than original image, the region for allowing for traversal image become smaller, complexity
It is low, so that processing image is more efficient.
Claims (6)
1. a kind of region growing method based on composite diagram, which is characterized in that the processing step of this method is as follows:
Step 1, gray proces, filtering processing and thresholding processing are successively carried out to original fracture image, obtain thresholding processing
The non-crack area of image afterwards, the image obtained after thresholding processing is white, and the coordinate of non-crack area is corresponded to original
Corresponding position in beginning crack image grayscale image, and the pixel of corresponding position in grayscale image is set 255, obtained image is as conjunction
Cheng Tu；
Step 2, Morphological scale-space and filtration treatment are successively carried out to composite diagram, obtains the drawing of seeds in target crack；
Step 3, according to the minimum circumscribed rectangle of connected regions all in the drawing of seeds in target crack, the kind to target crack is selected
It is grown after growth district in subgraph, the crack image after being grown；Specifically include following sub-step:
Step 31, length, the width, location information for obtaining crack first, extract all connections in the drawing of seeds in target crack
The minimum circumscribed rectangle in region；
Step 32, by the angle direction in crack, determine that growth district is in the position of minimum circumscribed rectangle, specifically: if it is
Acute angle, then growth district is in the top in the upper right corner of boundary rectangle and the lower section in the lower left corner；If it is obtuse angle, then growth district exists
The left side in the upper left corner of boundary rectangle and the right side in the lower right corner；Obtain detection figure；
Step 33, in order to ensure the crack that do not slip, the starting point for the growth district that step 32 is obtained is corresponding as seed point
To the composite diagram corresponding position of step 14, judge whether there is undetected crack within the scope of the n*n centered on seed point, has
Body is as follows:
According to seed point coordinate, the connected domain of respective coordinates in composite diagram is found, all gray values in the connected domain is calculated and is less than
The average value of 255 pixel；Each pixel that current minimum circumscribed rectangle is not belonging in the n*n range is traversed, if some
The absolute difference of pixel value and average value is not less than constant K, and K takes [2,6], then it is assumed that the pixel is not crack information；Such as
Fruit is less than K, then it is assumed that the pixel is crack information, to obtain new crack；According to the length in all new cracks, width
Degree, location information, extract the minimum circumscribed rectangle of each connected domain；Execute step 32；If not detecting new crack, into
Row step 34；
Step 34, all seed points step 33 obtained correspond to corresponding position in the composite diagram that step 13 obtains, and calculating is
No growth, calculated result are then grown in the drawing of seeds in target crack if it is growth；Otherwise, it does not grow；Then given birth to
Crack image after length.
2. as described in claim 1 based on the region growing method of composite diagram, which is characterized in that the step 1 specifically includes
Following sub-step:
Step 11, the target crack of fracture picture first carries out gray processing processing, obtains gray level image；
Step 12, gray level image is divided into the identical block of pixels of multiple sizes, each block of pixels is filtered respectively
Using mean filter or median filter method, to remove invalid interference impurity, thus the image after being filtered；
Step 13, thresholding processing is carried out to the image after filtering processing, obtains thresholding treated figure；
Step 14, the non-crack area coordinate of the figure after thresholding is corresponded in the gray level image of step 11, by corresponding position
Coordinate pixel sets 255, obtains composite diagram.
3. as described in claim 1 based on the region growing method of composite diagram, which is characterized in that the step 2 specifically includes
Following sub-step:
Step 21, Morphological scale-space is carried out to composite diagram, the Morphological scale-space specifically successively carries out expansion process and corrosion
Processing, the image after obtaining Morphological scale-space；
Step 22, the crack in the image after Morphological scale-space is filtered；Filtering rule: the length and width of boundary rectangle are filtered out
Than the crack less than 1/3, meanwhile, the mean value of all connected region areas, filters out face in computation of morphology treated image
Product is less than the crack of the mean value, obtains the drawing of seeds in target crack.
4. as claimed in claim 3 based on the region growing method of composite diagram, which is characterized in that the n*n in the step 33
Range, wherein the determination process of n is as follows:
The distance in each crack crack adjacent thereto in the drawing of seeds in the target crack that step 22 obtains is calculated, statistics is all two-by-two
Fracture interval from, calculate all distance values average value and the sum of intermediate value 1/2, i.e. the value of n.
5. as claimed in claim 4 based on the region growing method of composite diagram, which is characterized in that it is described calculate it is interstitial away from
From refer to calculate crack center of mass point between with a distance from.
6. as described in claim 1 based on the region growing method of composite diagram, which is characterized in that the step 34 specifically includes
Following sub-step:
Whether the calculating grows that specific step is as follows: according to the seed point coordinate of the drawing of seeds in target crack, finding synthesis
The connected domain of respective coordinates in figure calculates all average values less than 255 gray-value pixel points in the connected domain, if composite diagram
In with the absolute difference of the pixel values of seed point corresponding points and the average value be not less than constant K, K takes [2,6], then it is assumed that the life
Long region is not crack area, and the pixel value that seed point is corresponded in the drawing of seeds in target crack is set 0, i.e., is not grown；If small
In K, then it is assumed that the growth district is crack area, the pixel value that the drawing of seeds in target crack corresponds to seed point is set 1, i.e., with this
Seed point is that starting point carries out region growing.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104504388A (en) * | 2014-12-17 | 2015-04-08 | 长安大学 | Pavement crack identification and feature extraction algorithm and system |
| CN104573689A (en) * | 2013-10-11 | 2015-04-29 | 江南大学 | Method for automatically extracting area-of-interest from hyperspectral image of green soybeans based on iteration threshold value |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104573689A (en) * | 2013-10-11 | 2015-04-29 | 江南大学 | Method for automatically extracting area-of-interest from hyperspectral image of green soybeans based on iteration threshold value |
| CN104504388A (en) * | 2014-12-17 | 2015-04-08 | 长安大学 | Pavement crack identification and feature extraction algorithm and system |
Non-Patent Citations (1)
| Title |
|---|
| "基于图像识别处理的桥梁底面裂缝检测方法的研究";王聪雅;《中国优秀硕士学位论文全文数据库 工程科技II辑》;20170115(第01期);论文第2.2.1-2.2.3，3.3.2节 * |
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