CN110322447A - Picture element acquisition methods based on Region Segmentation Algorithm - Google Patents
Picture element acquisition methods based on Region Segmentation Algorithm Download PDFInfo
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- CN110322447A CN110322447A CN201810275436.XA CN201810275436A CN110322447A CN 110322447 A CN110322447 A CN 110322447A CN 201810275436 A CN201810275436 A CN 201810275436A CN 110322447 A CN110322447 A CN 110322447A
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- picture element
- lattice
- line segment
- acquisition methods
- midpoint
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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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- Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Image Analysis (AREA)
Abstract
The invention discloses the picture element acquisition methods based on Region Segmentation Algorithm, are related to image segmentation, comprising the following steps: dividing input picture according to the nine grids of 3*3 is 9 lattice；Every lattice select suitable seed point, such as pixel midpoint, brightness midpoint, center of gravity；Using average gray value and color as similarity measurement, uniformity area of space is generated along the highest direction of similitude, is determined as growing criterion；It reaches 9 lattice boundaries or shape area stops, forming multidirectional line segment；The synthesis base for determining multidirectional line segment is picture element.The present invention can make post-processing obtain the measurement with good invariance；Using measuring similarity, optimal segmentation position and representative characteristics of image are obtained.
Description
Technical field
The present invention relates to a kind of image segmentation Region Segmentation Algorithms, and in particular to the picture element based on Region Segmentation Algorithm
Acquisition methods.
Background technique
Segmentation caused by present threshold value split plot design spatial relationship does not consider not exclusively, is handled for later image, as image is known
Not, the operations such as image restoration are made troubles.
Summary of the invention
Segmentation caused by not considering the technical problem to be solved by the present invention is to present threshold value split plot design spatial relationship is endless
Entirely, and it is an object of the present invention to provide the picture element acquisition methods based on Region Segmentation Algorithm, solve the above problems.
Picture element acquisition methods based on Region Segmentation Algorithm, comprising the following steps:
It is 9 lattice according to the nine grids segmentation input picture of 3*3；
Every lattice select suitable seed point, such as pixel midpoint, brightness midpoint, center of gravity；
Using average gray value and color as similarity measurement, uniformity area of space is generated along the highest direction of similitude,
It is determined as growing criterion；
It reaches 9 lattice boundaries or shape area stops, forming multidirectional line segment；
The synthesis base for determining multidirectional line segment is picture element.
Compared with prior art, the present invention having the following advantages and benefits:
1, the present invention is based on the picture element acquisition methods of Region Segmentation Algorithm, and post-processing can be made, which to obtain, to be had well
The measurement of invariance；
2, the present invention is based on the picture element acquisition methods of Region Segmentation Algorithm obtains best point using measuring similarity
Cut position and representative characteristics of image.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, below with reference to embodiment, the present invention is made
Further to be described in detail, exemplary embodiment of the invention and its explanation for explaining only the invention, are not intended as to this
The restriction of invention.
Embodiment
The present invention is based on the picture element acquisition methods of Region Segmentation Algorithm, comprising the following steps:
It is 9 lattice according to the nine grids segmentation input picture of 3*3；
Every lattice select suitable seed point, such as pixel midpoint, brightness midpoint, center of gravity；
Using average gray value and color as similarity measurement, uniformity area of space is generated along the highest direction of similitude,
It is determined as growing criterion；
It reaches 9 lattice boundaries or shape area stops, forming multidirectional line segment；
The synthesis base for determining multidirectional line segment is picture element.
Above-described specific embodiment has carried out further the purpose of the present invention, technical scheme and beneficial effects
It is described in detail, it should be understood that being not intended to limit the present invention the foregoing is merely a specific embodiment of the invention
Protection scope, all within the spirits and principles of the present invention, any modification, equivalent substitution, improvement and etc. done should all include
Within protection scope of the present invention.
Claims (1)
1. the picture element acquisition methods based on Region Segmentation Algorithm, which comprises the following steps:
It is 9 lattice according to the nine grids segmentation input picture of 3*3；
Every lattice select suitable seed point, such as pixel midpoint, brightness midpoint, center of gravity；
Using average gray value and color as similarity measurement, uniformity area of space is generated along the highest direction of similitude, is determined
To grow criterion；
It reaches 9 lattice boundaries or shape area stops, forming multidirectional line segment；
The synthesis base for determining multidirectional line segment is picture element.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810275436.XA CN110322447A (en) | 2018-03-30 | 2018-03-30 | Picture element acquisition methods based on Region Segmentation Algorithm |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810275436.XA CN110322447A (en) | 2018-03-30 | 2018-03-30 | Picture element acquisition methods based on Region Segmentation Algorithm |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110322447A true CN110322447A (en) | 2019-10-11 |
Family
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
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| CN201810275436.XA Withdrawn CN110322447A (en) | 2018-03-30 | 2018-03-30 | Picture element acquisition methods based on Region Segmentation Algorithm |
Country Status (1)
| Country | Link |
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| CN (1) | CN110322447A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113962993A (en) * | 2021-12-21 | 2022-01-21 | 武汉霖杉工贸有限公司 | Paper cup raw material quality detection method based on computer vision |
-
2018
- 2018-03-30 CN CN201810275436.XA patent/CN110322447A/en not_active Withdrawn
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113962993A (en) * | 2021-12-21 | 2022-01-21 | 武汉霖杉工贸有限公司 | Paper cup raw material quality detection method based on computer vision |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20191011 |
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| WW01 | Invention patent application withdrawn after publication |