CN111948214A - Device and method for classifying image pollution levels - Google Patents
Device and method for classifying image pollution levels Download PDFInfo
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- CN111948214A CN111948214A CN202010691117.4A CN202010691117A CN111948214A CN 111948214 A CN111948214 A CN 111948214A CN 202010691117 A CN202010691117 A CN 202010691117A CN 111948214 A CN111948214 A CN 111948214A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8854—Grading and classifying of flaws
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8887—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
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Abstract
The invention relates to a device and a method for classifying image dirt grades. The method comprises the steps of shooting a dirty image by a camera in a dark box, graying the image, and classifying the dirty grade of the image according to the gray value. The invention provides the image pollution grade classification method and the image pollution grade classification equipment which are easy to operate and feasible, provides a feasible solution for domestic image pollution grade classification, and fills some blanks of domestic and foreign image pollution grade classification.
Description
Technical Field
The invention relates to the technical field of intelligent driving, in particular to a device and a method for classifying image pollution levels.
Background
The intelligent driving automobile needs to be provided with various sensors to sense the surrounding environment, and almost all the intelligent automobiles adopt a camera to sense the surrounding environment at present. In the running process of the intelligent automobile, the camera sensor collects peripheral information to transmit the information to the automobile, and the intelligent automobile makes decisions according to the information. Therefore, in order to ensure the driving safety of the automobile, the information transmitted to the automobile by the camera sensor must be accurate.
However, in the driving process, due to the uncertainty of the road, the camera is polluted to different degrees, and the road information collected by the polluted camera and the actual road information have deviation, which may cause the wrong judgment of the intelligent automobile. Since it is necessary to study the image contamination process. Therefore, a unified standard for image contamination level classification must be studied. Therefore, research can be conveniently carried out by researchers, and after the dirty grades are classified, the intelligent automobile can be informed of the dirty grades through judgment of a subsequent algorithm, and the intelligent automobile makes corresponding reactions according to the dirty grades.
Disclosure of Invention
It is an object of the present invention to overcome the above-mentioned drawbacks of the prior art and to provide an apparatus and method for classifying image contamination levels.
The purpose of the invention can be realized by the following technical scheme:
the utility model provides a device for dirty grade classification of image, the device includes the camera bellows, be equipped with the base that is used for placing relevant device in the camera bellows and be used for providing the LED lamp house that stablizes the light source in order to ensure the light source unanimity of shooing at every turn, be equipped with first telescopic bracket and second telescopic bracket on the base, be equipped with the camera on the first telescopic bracket, be equipped with dirty image on the second telescopic bracket.
Furthermore, the dark box consists of a framework and full shading cloth.
Furthermore, the framework is made of aluminum profiles.
Furthermore, the skeleton structure is a cubic structure.
Further, the top end of the first telescopic support is provided with a platform, and the camera is placed on the platform.
Further, the top of second telescopic bracket be equipped with the telescopic bracket platform, be equipped with polylith ya keli board on the telescopic bracket platform, dirty image sets up in by the polylith in the space that the ya keli board formed.
Furthermore, the first telescopic support and the second telescopic support are both two sections of loop bar type telescopic supports.
Further, the camera adopts a single lens reflex.
The invention also provides an image contamination level classification method adopting the apparatus for image contamination level classification, which specifically comprises the following steps: and opening the LED lamp box in the dark box, adjusting parameters of the camera, respectively adjusting the relative positions of the camera and the dirty image through the first telescopic support and the second telescopic support, shooting the dirty image, graying the shot image, and judging the corresponding dirty grade of the classified image according to the gray value of the grayed image.
Further, the corresponding contamination levels of the images are divided into 256 levels in total.
Compared with the prior art, the invention has the following advantages:
(1) the utility model provides a dirty grade classification equipment of image of simple and easy maneuverability strong, this equipment includes a camera bellows, sets up a base in the camera bellows, places a LED lamp house on the base for provide controllable stable light source, and two telescopic bracket in addition, camera is placed to one, and dirty image is placed to one. And after the positions of the light source, the camera and the dirty image are adjusted, shooting the dirty image, graying the image, and determining the dirty grade of the image according to the gray value of the dirty image.
(2) The skeleton of the camera bellows in the device is built by aluminum profiles, and the cube is covered by the full-shading cloth, so that a darkroom is formed, and the influence of sunlight, lamplight and other light sources and other incoherent factors is avoided.
(3) Based on the classification method provided by the device, the image is classified according to the dirty characteristic and the gray value characteristic. A feasible image smudge level classification criterion and method is provided.
Drawings
FIG. 1 is a schematic diagram showing the overall structure of an apparatus for image contamination level classification according to the present invention;
FIG. 2 is a side view of a dirty image placement stage in the apparatus for image dirty level classification of the present invention;
in the figure, 1 is a camera bellows, 2 is a camera, 3 is a first telescopic bracket, 4 is a base, 5 is an LED lamp box, 6 is a second telescopic bracket, 7 is a first acrylic plate, 8 is a second acrylic plate, and 9 is a telescopic bracket platform.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, shall fall within the scope of protection of the present invention.
Examples
The invention provides an image pollution level classification device and method, and the structure of the device is shown as figure 1. Comprises a camera bellows 1, a base 4 arranged in the camera bellows 1, a first telescopic bracket 3, a second telescopic bracket 6, a camera and a dirty image.
Wherein the skeleton of camera bellows 1 is built with the aluminium alloy to cover this cube with full shading cloth, formed a darkroom, avoided the influence of its light source such as sunlight, light and other incoherent factors. And a base 4 is added in the camera bellows 1 and is used for placing the first telescopic bracket 3, the second telescopic bracket 6 and the LED lamp box 5, wherein the lamp box is used for providing a continuous and stable light source and keeping the light source consistent during each photographing.
Wherein the first telescopic bracket 3 and the second telescopic bracket 6 are two-section sleeved rod type. And the upper surface of the telescopic sleeve rod is connected with a platform for placing articles. Wherein the first telescopic support 3 is used for placing the camera and the second telescopic support 6 is used for placing the dirty image. The platform design above the second telescoping leg 6 is shown in fig. 2 and consists of a telescoping leg platform 9 and a first acrylic plate 7 and a second acrylic plate 8 secured thereto.
Experiments prove that after the dirty image shot through the acrylic plate and the dirty image shot directly are grayed, the gray value of the dirty image is basically unchanged, so that the acrylic plate is used as a fixing device of the image, and the dirty image is placed between the first acrylic plate 7 and the second acrylic plate 8, namely, the dirty image is fixed.
In the example, the single lens reflex camera is adopted by the camera 2, and the camera parameters adopt factory default parameters.
After the parameters of the camera 2, the heights of the first telescopic bracket 3 and the second telescopic bracket 6 and the LED light source 5 are adjusted, shooting is carried out. And taking out the shot image. And graying the shot dirty image to obtain a gray value of the dirty image. Since the gray value of an image represents the black-and-white characteristic of the image and the gray value ranges from 0 to 255, the stain level thereof is represented by the gray value and is classified into 256 levels. Where a rating of 0 indicates the most dirty image and a rating of 255 indicates the cleanest image.
Therefore, in this example, the gradation value is extracted, and the contamination level of the image is determined.
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. The utility model provides a device for image dirt grade classification, its characterized in that, the device include camera bellows (1), be equipped with in camera bellows (1) and be used for placing base (4) of relevant device and be used for providing stable light source in order to ensure the unanimous LED lamp house (5) of light source of shooing at every turn, be equipped with first telescopic bracket (3) and second telescopic bracket (6) on base (4), be equipped with camera (2) on first telescopic bracket (3), be equipped with dirty image on second telescopic bracket (6).
2. The apparatus for image stain level classification as claimed in claim 1, wherein the dark box (1) is composed of a skeleton and a full-shading cloth.
3. The apparatus according to claim 2, wherein the frame is made of aluminum profile.
4. The apparatus according to claim 2, wherein the skeleton has a cubic structure.
5. An apparatus for image stain level classification as claimed in claim 1, wherein the top end of the first telescopic support (3) is provided with a platform on which the camera (2) is placed.
6. The apparatus according to claim 1, wherein the second telescopic bracket (6) is provided with a telescopic bracket platform (9) at the top end, a plurality of acrylic plates are arranged on the telescopic bracket platform (9), and the dirty image is arranged in a space formed by the acrylic plates.
7. The apparatus for image stain level classification as claimed in claim 1, wherein said first telescoping support (3) and said second telescoping support (6) are each two-bar telescoping supports.
8. The apparatus for image contamination level classification as claimed in claim 1, wherein the camera (2) is a single lens reflex camera.
9. An image contamination level classification method using the apparatus for image contamination level classification according to any one of claims 1 to 8, the method comprising: opening the LED lamp box (5) in the camera shelter (1), adjusting parameters of the camera (2), respectively adjusting the relative positions of the camera (2) and the dirty images through the first telescopic support (3) and the second telescopic support (6), shooting the dirty images, graying the shot images, and judging the corresponding dirty grade of the classified images according to the gray values of the grayed images.
10. The image contamination level classification method using the apparatus for image contamination level classification according to claim 9, wherein the corresponding contamination levels of the images are classified into 256 levels in total.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010691117.4A CN111948214A (en) | 2020-07-17 | 2020-07-17 | Device and method for classifying image pollution levels |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010691117.4A CN111948214A (en) | 2020-07-17 | 2020-07-17 | Device and method for classifying image pollution levels |
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| CN111948214A true CN111948214A (en) | 2020-11-17 |
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| CN202010691117.4A Pending CN111948214A (en) | 2020-07-17 | 2020-07-17 | Device and method for classifying image pollution levels |
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040175026A1 (en) * | 2001-07-27 | 2004-09-09 | Hirokazu Tanaka | Method for evaluating contamination on surface of object and imaging box used for the method |
| CN104949998A (en) * | 2015-07-01 | 2015-09-30 | 华中农业大学 | Online visual inspection device and method for surface dirt of group origin eggs |
| CN205193116U (en) * | 2015-11-11 | 2016-04-27 | 辽宁省电能计量器具检定站有限公司 | Camera bellows detection device and rotary mechanism who is arranged in camera bellows detection device |
| CN205691499U (en) * | 2016-03-24 | 2016-11-16 | 南京农业大学 | Apple surface glossiness detecting device |
| CN106226270A (en) * | 2016-07-01 | 2016-12-14 | 深圳市顶点视觉自动化技术有限公司 | The method of the detection dirty defect of image sensor surface |
| CN108776143A (en) * | 2018-05-28 | 2018-11-09 | 湖北工业大学 | A kind of online vision inspection apparatus and method of the small stain of egg eggshell surface |
| CN110637757A (en) * | 2019-09-26 | 2020-01-03 | 广东工业大学 | Poultry egg detection system, method and equipment |
| CN111080638A (en) * | 2019-12-27 | 2020-04-28 | 成都泓睿科技有限责任公司 | System and method for detecting dirt at bottom of molded bottle |
-
2020
- 2020-07-17 CN CN202010691117.4A patent/CN111948214A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040175026A1 (en) * | 2001-07-27 | 2004-09-09 | Hirokazu Tanaka | Method for evaluating contamination on surface of object and imaging box used for the method |
| CN104949998A (en) * | 2015-07-01 | 2015-09-30 | 华中农业大学 | Online visual inspection device and method for surface dirt of group origin eggs |
| CN205193116U (en) * | 2015-11-11 | 2016-04-27 | 辽宁省电能计量器具检定站有限公司 | Camera bellows detection device and rotary mechanism who is arranged in camera bellows detection device |
| CN205691499U (en) * | 2016-03-24 | 2016-11-16 | 南京农业大学 | Apple surface glossiness detecting device |
| CN106226270A (en) * | 2016-07-01 | 2016-12-14 | 深圳市顶点视觉自动化技术有限公司 | The method of the detection dirty defect of image sensor surface |
| CN108776143A (en) * | 2018-05-28 | 2018-11-09 | 湖北工业大学 | A kind of online vision inspection apparatus and method of the small stain of egg eggshell surface |
| CN110637757A (en) * | 2019-09-26 | 2020-01-03 | 广东工业大学 | Poultry egg detection system, method and equipment |
| CN111080638A (en) * | 2019-12-27 | 2020-04-28 | 成都泓睿科技有限责任公司 | System and method for detecting dirt at bottom of molded bottle |
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Application publication date: 20201117 |
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