CN113507582A - Novel method for analyzing orbit apparent image data - Google Patents
Novel method for analyzing orbit apparent image data Download PDFInfo
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- CN113507582A CN113507582A CN202110795863.2A CN202110795863A CN113507582A CN 113507582 A CN113507582 A CN 113507582A CN 202110795863 A CN202110795863 A CN 202110795863A CN 113507582 A CN113507582 A CN 113507582A
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- 238000000034 method Methods 0.000 title claims abstract description 23
- 230000003068 static effect Effects 0.000 claims abstract description 39
- 230000001788 irregular Effects 0.000 claims description 3
- 230000002950 deficient Effects 0.000 claims description 2
- 238000010191 image analysis Methods 0.000 abstract description 5
- 238000012216 screening Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/76—Television signal recording
- H04N5/91—Television signal processing therefor
- H04N5/93—Regeneration of the television signal or of selected parts thereof
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/79—Processing of colour television signals in connection with recording
- H04N9/87—Regeneration of colour television signals
Abstract
The invention relates to the technical field of image data processing, in particular to a novel method for analyzing track appearance image data, which can effectively improve the stability and smoothness of track appearance image analysis; the method comprises the following steps: s1, controlling the dynamic image to stop recording according to the instruction of the shutter button; s2, intercepting the dynamic image data, and previewing and processing the generated dynamic image data; s3, intercepting the static image data, and previewing and processing the generated static image data; s4, comparing the captured dynamic image data with the static image data, and correcting the static image data according to the dynamic image data; s5, the corrected still image data is outputted at a predetermined resolution.
Description
Technical Field
The invention relates to the technical field of image data processing, in particular to a novel method for analyzing orbit appearance image data.
Background
The track apparent image data analysis is to store the segment of the dynamic image to be recorded or stored on the magnetic tape or the hardware storage device as a dynamic image file according to the instruction of the user, and then release the image data through the playing device or the display device, wherein if the dynamic image file has a wonderful picture to be output in the form of a static image, on the known basis, the picture required by a plurality of frames is usually cut from a recorded dynamic image file for picture form output or image editing. In the existing method for analyzing the rail apparent image data, the images are easy to jam in the process of browsing the images, and the images are easy to excessively coincide to cause ghosting, so that a larger improvement space exists in the method for analyzing the rail apparent image data.
Disclosure of Invention
In order to solve the above technical problems, the present invention provides a new method for analyzing apparent image data of a track, which can effectively improve the smoothness and stability of the apparent image analysis of the track.
The invention discloses a new method for analyzing orbit appearance image data, which comprises the following steps:
s1, controlling the dynamic image to stop recording according to the instruction of the shutter button;
s2, intercepting the dynamic image data, and previewing and processing the generated dynamic image data;
s3, intercepting the static image data, and previewing and processing the generated static image data;
s4, comparing the captured dynamic image data with the static image data, and correcting the static image data according to the dynamic image data;
s5, the corrected still image data is outputted at a predetermined resolution.
Furthermore, after the dynamic image data is intercepted, the dynamic image data is cut, so that the time length of the dynamic image is less than 3 seconds.
Furthermore, when the static image data are intercepted, the n pieces of static image data are intercepted at one time, and irregular, ghost and unclear unqualified static image data in the static image data are screened.
Further, the captured still image data is subjected to processing such as focusing, white balance, exposure, and the like.
Furthermore, when the dynamic image data is cut, the principle of removing the head and the tail and leaving the middle is adopted.
Compared with the prior art, the invention has the beneficial effects that:
through the contrast to dynamic image data and static image data, select the best static image data from a plurality of static image data, can effectual improvement track apparent image analysis's steady and smooth.
Drawings
FIG. 1 is an overall system flow diagram of the present invention;
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
Example (b):
a new method for analyzing orbit appearance image data comprises the following steps:
s1, controlling the dynamic image to stop recording according to the instruction of the shutter button;
s2, intercepting the dynamic image data, and previewing and processing the generated dynamic image data;
s3, intercepting the static image data, and previewing and processing the generated static image data;
s4, comparing the captured dynamic image data with the static image data, and correcting the static image data according to the dynamic image data;
s5, the corrected still image data is outputted at a predetermined resolution.
In the operation process of the steps, the optimal static image data is screened out from the plurality of static image data through the comparison of the dynamic image data and the static image data, and the stability and smoothness of the rail apparent image analysis can be effectively improved.
As a preferable example of the above embodiment, after the capturing of the moving image data is completed, the moving image data is clipped so that the time length of the moving image is less than 3 seconds.
In the operation process of the above steps, when the duration of the moving image is greater than or equal to 3 seconds, the file of the moving image data is large, which increases extra workload of the system when processing the data, and is easy to generate errors in the processing process.
As a preferable example of the above embodiment, when the still image data is extracted, n pieces of still image data are extracted at a time, and the defective still image data, which is irregular, ghost, and unclear, is screened.
In the operation process of the above steps, through the screening of the plurality of static image data, the best static image data is screened out from the plurality of static image data.
As a preferable example of the above embodiment, the captured still image data is subjected to processing such as focusing, white balancing, and exposure.
As a preferred example of the above embodiment, when clipping the moving image data, a principle of pinching the head and the tail with the middle is adopted.
According to the novel method for analyzing the rail apparent image data, the optimal static image data is screened from the plurality of static image data through the comparison of the dynamic image data and the static image data in the working process, so that the stability and smoothness of the rail apparent image analysis can be effectively improved; when the duration of the dynamic image is more than or equal to 3 seconds, the file of the dynamic image data is large, extra workload of the system is increased when the dynamic image data is processed, and errors are easy to occur in the processing process; screening out the best static image data from the plurality of static image data by screening out the plurality of static image data;
the above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (5)
1. A new method for analyzing orbit appearance image data is characterized by comprising the following steps:
s1, controlling the dynamic image to stop recording according to the instruction of the shutter button;
s2, intercepting the dynamic image data, and previewing and processing the generated dynamic image data;
s3, intercepting the static image data, and previewing and processing the generated static image data;
s4, comparing the captured dynamic image data with the static image data, and correcting the static image data according to the dynamic image data;
s5, the corrected still image data is outputted at a predetermined resolution.
2. The method of claim 1, wherein after the capturing of the dynamic image data is completed, the dynamic image data is clipped such that the duration of the dynamic image is less than 3 seconds.
3. The new method for analyzing orbit appearance image data of claim 2, wherein when the static image data is intercepted, the n pieces of static image data are intercepted at one time, and the irregular, ghost and unclear defective static image data are screened.
4. The method as claimed in claim 3, wherein the captured still image data is processed by focusing, white balancing and exposing.
5. The method as claimed in claim 4, wherein the dynamic image data is clipped by removing the head and tail with the middle.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110795863.2A CN113507582A (en) | 2021-07-14 | 2021-07-14 | Novel method for analyzing orbit apparent image data |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110795863.2A CN113507582A (en) | 2021-07-14 | 2021-07-14 | Novel method for analyzing orbit apparent image data |
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| CN113507582A true CN113507582A (en) | 2021-10-15 |
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| CN202110795863.2A Pending CN113507582A (en) | 2021-07-14 | 2021-07-14 | Novel method for analyzing orbit apparent image data |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1719887A (en) * | 2004-07-07 | 2006-01-11 | 华晶科技股份有限公司 | Method and apparatus for sampling dynamic image |
| TW201132114A (en) * | 2010-03-01 | 2011-09-16 | Medialink Technology Co Ltd | Embedded A/V editing method of digital camera |
| CN107231507A (en) * | 2016-03-25 | 2017-10-03 | 奥林巴斯株式会社 | Camera device and image capture method |
| CN111357296A (en) * | 2017-09-20 | 2020-06-30 | 阿马特路斯株式会社 | Video distribution device, video distribution system, video distribution method, and video distribution program |
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2021
- 2021-07-14 CN CN202110795863.2A patent/CN113507582A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1719887A (en) * | 2004-07-07 | 2006-01-11 | 华晶科技股份有限公司 | Method and apparatus for sampling dynamic image |
| TW201132114A (en) * | 2010-03-01 | 2011-09-16 | Medialink Technology Co Ltd | Embedded A/V editing method of digital camera |
| CN107231507A (en) * | 2016-03-25 | 2017-10-03 | 奥林巴斯株式会社 | Camera device and image capture method |
| CN111357296A (en) * | 2017-09-20 | 2020-06-30 | 阿马特路斯株式会社 | Video distribution device, video distribution system, video distribution method, and video distribution program |
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