CN109509145A - A kind of general joining method of viewdata painting canvas of multipad - Google Patents
A kind of general joining method of viewdata painting canvas of multipad Download PDFInfo
- Publication number
- CN109509145A CN109509145A CN201710820159.1A CN201710820159A CN109509145A CN 109509145 A CN109509145 A CN 109509145A CN 201710820159 A CN201710820159 A CN 201710820159A CN 109509145 A CN109509145 A CN 109509145A
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- painting canvas
- data
- multipad
- viewdata
- joining method
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- 238000010422 painting Methods 0.000 title claims abstract description 49
- 238000000034 method Methods 0.000 title claims abstract description 20
- 238000005304 joining Methods 0.000 title claims abstract description 10
- 238000004458 analytical method Methods 0.000 claims abstract description 9
- 239000011159 matrix material Substances 0.000 claims description 3
- 238000003860 storage Methods 0.000 claims description 3
- 239000004744 fabric Substances 0.000 claims description 2
- 238000005070 sampling Methods 0.000 claims description 2
- 238000009826 distribution Methods 0.000 abstract description 2
- 238000007405 data analysis Methods 0.000 abstract 1
- 239000000284 extract Substances 0.000 abstract 1
- 238000005516 engineering process Methods 0.000 description 6
- 230000000694 effects Effects 0.000 description 4
- 238000005457 optimization Methods 0.000 description 2
- 230000002411 adverse Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 238000013441 quality evaluation Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
- G06T3/4038—Image mosaicing, e.g. composing plane images from plane sub-images
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Image Processing (AREA)
Abstract
The present invention provides " a kind of general joining methods of viewdata painting canvas of multipad ", which comprises acquisition step obtains data painting canvas to be spliced together；Analytical procedure analyzes every data painting canvas data distribution architecture, and extracts the condition code of data；Merge step, the condition code of every painting canvas of analysis one by one splices every painting canvas.The viewdata painting canvas joining method of multipad proposed by the present invention, can conveniently and efficiently splice the viewdata in any multipad, and for carrying out big data analysis after input database.
Description
Technical field
The invention belongs to internet field of medical technology, are related to a kind of general spelling of viewdata painting canvas of multipad
Connect method.
Background technique
Image mosaic technology is in one important technology of image computer field of drawing.It is rebuild by virtual environment
The method of image-context.Small-view image mosaic at the big ken image for meeting people's visual demand, is met people to big by it
The demand of scene image.With the development of virtual reality technology and virtual environment drawing technique, image mosaic technology is answered extensively
With.Traditional splicing is not to be able to satisfy the requirement that people handle image mosaic by computer simple process, with
The development of technology, the idea that people require computer capacity preferably to adapt to people are abandoned simple using the thought of multidimensional number space
One-dimensional image conversion spatial manipulation.
Image mosaic is that main information useful in piece image is spliced in another image and is visually presented
Out, how to avoid image that from generating during splicing fuzzy, ghost image etc. to adverse effect generated after image mosaic,
Human eye is the height that can intuitively react picture quality, is that the quality after image mosaic is able to satisfy human eye to the main identification of picture
Method, image co-registration can be to avoid the bad phenomenons generated after image mosaic, to reach the objective quality evaluation of image, institute
It is essential key factor in splicing with image co-registration.
Traditional picture joining method usually first establishes a model framework, by picture to be spliced according to piecing result together
Quality quantified with certain objective standard, this optimization method usually has complicated non-linear form.Due to every picture
State be decided by several parameters, there may be hundreds and thousands of a parameters to need to optimize in total.In the non-linear excellent of such complexity
It is usually inefficient that the optimization solution of such scale is solved in change equation, while being also easily ensnared into locally optimal solution.Although some
The method for promoting solution efficiency is successively suggested, but the limitation that such method still has its intrinsic.
Summary of the invention
The purpose of the present invention is to provide a kind of accuracy, and desktop high, that display effect is good, calculation amount is low, versatile is answered
With the general joining method of viewdata painting canvas of program.Technical scheme is as follows:
A kind of general joining method of viewdata painting canvas of multipad, it is characterised in that:
A) acquisition step acquires the data painting canvas of multiple parts from multipad.
B) storing step, in a matrix by data painting canvas arrangement storage.
C) sampling step enumerates data painting canvas one by one, edge sample is carried out to each data painting canvas, to judge data
Distribution, be subsequent splicing step as analyze data.
D) analytical procedure compares the edge sample value of every data painting canvas one by one, judges the left up and down of every data painting canvas
The data painting canvas that the right side is closed on be which, while judge with the overlapping point between each data painting canvas, as condition code.
E) splice step, after the condition code of the every painting canvas obtained by analytical procedure, one by one lead to every painting canvas
The overlapping that condition code carries out transversely or longitudinally is crossed to splice with non-overlap.
Spliced painting canvas is stored into database by f) storing step.
The beneficial effects of the present invention are: the viewdata painting canvas joining method of multipad proposed by the present invention,
It can conveniently and efficiently splice the viewdata in any multipad, the distributed architecture regardless of viewdata, no matter
How the painting canvas of viewdata intercepts, and can be merged into a complete painting canvas by the joining method.
Detailed description of the invention
Fig. 1 is the flow diagram of the method for the present invention.
Fig. 2 is the effect picture before splicing.
Fig. 3 is spliced effect picture.
Specific embodiment
The preferred embodiment that the invention will now be described in detail with reference to the accompanying drawings:
The first step acquires the data painting canvas of multiple parts, as shown in Figure 2 from multipad.
Second step, in a matrix by data painting canvas arrangement storage.
Third step enumerates data painting canvas one by one, carries out edge sample to each data painting canvas, to judge point of data
Cloth is subsequent splicing step as analysis data.
4th step compares the edge sample value of every data painting canvas one by one, judges facing up and down for every data painting canvas
Close data painting canvas be which, while judge with the overlapping point between each data painting canvas, as condition code.
5th step after the condition code of the every painting canvas obtained by analytical procedure, carries out every painting canvas to pass through spy one by one
The overlapping that code carries out transversely or longitudinally is levied to splice with non-overlap.Spliced data painting canvas is obtained, as shown in Figure 3.
Spliced painting canvas is stored into database by the 6th step.
Claims (1)
- " 1. a kind of general joining method of viewdata painting canvas of multipad ", it is characterised in that comprise the following steps thatA) acquisition step acquires the data painting canvas of multiple parts from multipad；B) storing step, in a matrix by data painting canvas arrangement storage；C) sampling step enumerates data painting canvas one by one, carries out edge sample to each data painting canvas, to judge point of data Cloth is subsequent splicing step as analysis data；D) analytical procedure compares the edge sample value of every data painting canvas one by one, judges facing up and down for every data painting canvas Close data painting canvas be which, while judge with the overlapping point between each data painting canvas, as condition code；E) splice step, after the condition code of the every painting canvas obtained by analytical procedure, carry out every painting canvas to pass through spy one by one The overlapping that code carries out transversely or longitudinally is levied to splice with non-overlap；Spliced painting canvas is stored into database by f) storing step.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710820159.1A CN109509145A (en) | 2017-09-14 | 2017-09-14 | A kind of general joining method of viewdata painting canvas of multipad |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710820159.1A CN109509145A (en) | 2017-09-14 | 2017-09-14 | A kind of general joining method of viewdata painting canvas of multipad |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109509145A true CN109509145A (en) | 2019-03-22 |
Family
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710820159.1A Pending CN109509145A (en) | 2017-09-14 | 2017-09-14 | A kind of general joining method of viewdata painting canvas of multipad |
Country Status (1)
| Country | Link |
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| CN (1) | CN109509145A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112991178A (en) * | 2021-03-24 | 2021-06-18 | 北京百度网讯科技有限公司 | Image splicing method, device, equipment and medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101650784A (en) * | 2009-09-23 | 2010-02-17 | 南京大学 | Method for matching images by utilizing structural context characteristics |
| CN104376548A (en) * | 2014-11-07 | 2015-02-25 | 中国电子科技集团公司第二十八研究所 | Fast image splicing method based on improved SURF algorithm |
-
2017
- 2017-09-14 CN CN201710820159.1A patent/CN109509145A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101650784A (en) * | 2009-09-23 | 2010-02-17 | 南京大学 | Method for matching images by utilizing structural context characteristics |
| CN104376548A (en) * | 2014-11-07 | 2015-02-25 | 中国电子科技集团公司第二十八研究所 | Fast image splicing method based on improved SURF algorithm |
Non-Patent Citations (1)
| Title |
|---|
| 张朝伟;周焰;吴思励;林洪涛;: "基于SIFT特征匹配的监控图像自动拼接", 计算机应用, no. 01, pages 197 - 200 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112991178A (en) * | 2021-03-24 | 2021-06-18 | 北京百度网讯科技有限公司 | Image splicing method, device, equipment and medium |
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Application publication date: 20190322 |