CN109285170A - A kind of Local threshold segmentation method - Google Patents
A kind of Local threshold segmentation method Download PDFInfo
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- CN109285170A CN109285170A CN201710603351.5A CN201710603351A CN109285170A CN 109285170 A CN109285170 A CN 109285170A CN 201710603351 A CN201710603351 A CN 201710603351A CN 109285170 A CN109285170 A CN 109285170A
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- value
- segmentation
- local threshold
- graticule
- segmentation method
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- 230000011218 segmentation Effects 0.000 title claims abstract description 26
- 238000000034 method Methods 0.000 title claims abstract description 22
- 238000000638 solvent extraction Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000003672 processing 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
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/136—Segmentation; Edge detection involving thresholding
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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
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20024—Filtering details
- G06T2207/20032—Median filtering
Abstract
A kind of Local threshold segmentation method, in graticule field unilateral median algorithm threshold value and segmented image.
Description
Technical field
The present invention relates to field of image processings.
Background technique
For Local threshold segmentation method, how to determine that regional area is the key that one of them is important.Traditional local threshold
Value split plot design only considers some parameters such as variance, mean value in region etc., and the considerations of lacked to provincial characteristics.For biography
Unite local threshold graticule segmentation in there are the problem of, present invention uses unilateral median method threshold value and segmented images, though
So it is not so good as traditional Local threshold segmentation method in applicability, but divides this in graticule and specifically apply inner, unilateral intermediate value
The performance of method is much better than traditional Local threshold segmentation method.
Summary of the invention
For presently, there are main problem, the present invention provides a kind of Local threshold segmentation method.
The present invention provides a kind of Local threshold segmentation method, in graticule field unilateral median algorithm threshold value and segmentation
Image.
Further, the unilateral intermediate value partitioning algorithm refers to, it is assumed that graticule is composed of several sides, is such as occurred
One spike, it is believed that it is composed of two sides, and then, the segmentation of graticule just switchs to the segmentation on side, i.e., determines side
Divide for part.
Further, each edge uses the maximum value on side and the average value of minimum value to divide as threshold value.
Although the beneficial effects of the present invention are: being not so good as traditional Local threshold segmentation method in applicability, in graticule
Divide this and specifically apply inner, the performance of unilateral median method is much better than traditional Local threshold segmentation method.
Specific embodiment
In order to which filtering image noise carries out mean filter for collected graticule data.In order to preferably remove part
Interference, can be used the processing method of direct current.DC processing is exactly that the data after wicket mean filter are subtracted big window
Data after mouth mean filter.
For Local threshold segmentation method, how to determine that regional area is the key that one of them is important.Traditional local threshold
Value split plot design only considers some parameters such as variance, mean value in region etc., and the considerations of lacked to provincial characteristics.For biography
Unite local threshold graticule segmentation in there are the problem of, present invention uses unilateral median method threshold value and segmented images, though
So it is not so good as traditional Local threshold segmentation method in applicability, but divides this in graticule and specifically apply inner, unilateral intermediate value
The performance of method is much better than traditional Local threshold segmentation method.
: it is assumed that graticule is composed of several sides, such as there is a spike in unilateral intermediate value partitioning algorithm principle, can be with
Think that it is composed of two sides, then, the segmentation of graticule just switchs to the segmentation on side, i.e., side is set to a part to divide
It cuts.Each edge uses the maximum value on side and the average value of minimum value to divide as threshold value.
Analyze the gray value curve through DC processing.Stain in each edge represents the threshold value on the side, the threshold of each edge
Value is equal to the maximum value on the side and the mean value of minimum value.The segmentation of each edge be it is independent, i.e., the threshold value of a line only to oneself
Segmentation, without will affect other sides.
Claims (3)
1. a kind of Local threshold segmentation method, which is characterized in that in graticule field unilateral median algorithm threshold value and segmentation
Image.
2. dividing method according to claim 1, which is characterized in that the unilateral intermediate value partitioning algorithm refers to, it is assumed that mark
Line is composed of several sides, a spike such as occurs, it is believed that it is composed of two sides, then, graticule
Segmentation just switch to the segmentation on side, i.e., side is set to a part to divide.
3. dividing method according to claim 1 or 2, which is characterized in that each edge uses the maximum value and most on side
The average value of small value is divided as threshold value.
Priority Applications (1)
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CN201710603351.5A CN109285170A (en) | 2017-07-22 | 2017-07-22 | A kind of Local threshold segmentation method |
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CN201710603351.5A CN109285170A (en) | 2017-07-22 | 2017-07-22 | A kind of Local threshold segmentation method |
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CN109285170A true CN109285170A (en) | 2019-01-29 |
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CN201710603351.5A Pending CN109285170A (en) | 2017-07-22 | 2017-07-22 | A kind of Local threshold segmentation method |
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Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102542799A (en) * | 2011-12-19 | 2012-07-04 | 中山大学 | Line acquisition video vehicle detector based on pavement marker and detecting method thereof |
US20140029821A1 (en) * | 2012-07-30 | 2014-01-30 | Samsung Electronics Co., Ltd. | Vessel segmentation method and apparatus using multiple thresholds values |
CN104463097A (en) * | 2014-10-31 | 2015-03-25 | 武汉工程大学 | High-voltage wire image detection method based on local self-adaptation threshold value partitioning algorithm |
-
2017
- 2017-07-22 CN CN201710603351.5A patent/CN109285170A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102542799A (en) * | 2011-12-19 | 2012-07-04 | 中山大学 | Line acquisition video vehicle detector based on pavement marker and detecting method thereof |
US20140029821A1 (en) * | 2012-07-30 | 2014-01-30 | Samsung Electronics Co., Ltd. | Vessel segmentation method and apparatus using multiple thresholds values |
CN104463097A (en) * | 2014-10-31 | 2015-03-25 | 武汉工程大学 | High-voltage wire image detection method based on local self-adaptation threshold value partitioning algorithm |
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