CN111948214A - Device and method for classifying image pollution levels - Google Patents

Device and method for classifying image pollution levels Download PDF

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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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image
camera
dirty
level classification
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吴志军
马玉霖
李治龙
胡宗杰
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Tongji University
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/8851Scan 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
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/8851Scan 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
    • G01N2021/8854Grading and classifying of flaws
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/8851Scan 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
    • G01N2021/8887Scan 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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  • Computer Vision & Pattern Recognition (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
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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

一种用于图像脏污等级分类的装置及方法A device and method for classifying image contamination levels

技术领域technical field

本发明涉及智能驾驶技术领域,尤其是涉及一种用于图像脏污等级分类的装置及方法。The present invention relates to the technical field of intelligent driving, and in particular, to a device and method for classifying image contamination levels.

背景技术Background technique

智能驾驶汽车需要在车辆上安装各种传感器来感知周围的环境,目前几乎所有的智能汽车都会采用摄像头来感知周围环境。在智能汽车行驶的过程中,摄像头传感器收集周边的信息来传递给汽车,智能汽车根据这些信息进行决策。所以为了保证汽车行驶安全,摄像头传感器传递给汽车的信息必须是准确的。Intelligent driving cars need to install various sensors on the vehicle to perceive the surrounding environment. At present, almost all smart cars use cameras to perceive the surrounding environment. In the process of driving a smart car, the camera sensor collects surrounding information and transmits it to the car, and the smart car makes decisions based on this information. Therefore, in order to ensure the safety of the car, the information transmitted by the camera sensor to the car must be accurate.

但在行驶的过程中,由于道路的不确定性,摄像头会受到不同程度的污染,受到污染的摄像头收集的道路信息和实际道路信息会存在偏差,可能会造成智能汽车的错误判断。因为研究图像脏污处理十分有必要。因此必须有一个图像脏污等级分类的统一的标准进行研究。这样可以方便研究人员进行研究,并且有了脏污的等级分类后,可以通过后续算法的判断,告诉智能汽车这是哪个等级的脏污,智能汽车根据脏污的等级做出相应的反应。However, in the process of driving, due to the uncertainty of the road, the cameras will be polluted to varying degrees, and there will be deviations between the road information collected by the polluted cameras and the actual road information, which may cause the wrong judgment of the smart car. Because it is necessary to study image smudge processing. Therefore, there must be a unified standard for classification of image contamination levels to be studied. In this way, it is convenient for researchers to conduct research, and after the classification of the level of dirt, the smart car can be told which level of dirt it is through the judgment of the subsequent algorithm, and the smart car will respond accordingly according to the level of dirt.

发明内容SUMMARY OF THE INVENTION

本发明的目的就是为了克服上述现有技术存在的缺陷而提供一种用于图像脏污等级分类的装置及方法。The purpose of the present invention is to provide an apparatus and method for classifying image contamination levels in order to overcome the above-mentioned defects in the prior art.

本发明的目的可以通过以下技术方案来实现:The object of the present invention can be realized through the following technical solutions:

一种用于图像脏污等级分类的装置,该装置包括暗箱,所述暗箱内设有用于放置相关器件的底座和用于提供稳定光源以确保每次拍照的光源一致的LED灯箱,所述底座上设有第一可伸缩支架和第二可伸缩支架,所述第一可伸缩支架上设有相机,所述第二可伸缩支架上设有脏污图像。A device for classifying image contamination levels, the device includes a camera obscura, a base for placing related devices and an LED light box for providing a stable light source to ensure that the light source for each photo is consistent, the base is provided with A first retractable bracket and a second retractable bracket are arranged thereon, a camera is arranged on the first retractable bracket, and a dirty image is arranged on the second retractable bracket.

进一步地,所述的暗箱由骨架和全遮光布组成。Further, the camera obscura consists of a skeleton and a full shading cloth.

进一步地,所述的骨架采用铝型材制成的骨架。Further, the skeleton is made of aluminum profiles.

进一步地,所述的骨架的结构为立方体结构。Further, the structure of the skeleton is a cubic structure.

进一步地,所述的第一可伸缩支架的顶端设有平台,所述相机放置于所述平台上。Further, the top of the first retractable support is provided with a platform, and the camera is placed on the platform.

进一步地,所述的第二可伸缩支架的顶端设有可伸缩支架平台,所述可伸缩支架平台上设有多块亚克力板,所述脏污图像设置于由多块所述亚克力板形成的空间内。Further, the top of the second retractable support is provided with a retractable support platform, and a plurality of acrylic plates are arranged on the retractable support platform, and the dirty image is arranged on a surface formed by a plurality of the acrylic plates. within the space.

进一步地,所述的第一可伸缩支架和所述的第二可伸缩支架均采用两节套杆式可伸缩支架。Further, both the first telescopic support and the second telescopic support adopt a two-section sleeve-rod type telescopic support.

进一步地,所述的相机采用单反相机。Further, the camera is a single-lens reflex camera.

本发明还提供一种采用所述的用于图像脏污等级分类的装置的图像脏污等级分类方法,该方法具体包括:于所述暗箱内打开所述LED灯箱,调整完毕所述相机的参数,并通过所述第一可伸缩支架和所述第二可伸缩支架分别调整所述相机和所述脏污图像的相对位置后,针对所述脏污图像进行拍摄,将拍摄得到的图像灰度化,并根据灰度化后的图像的灰度值来判断分类图像的对应脏污等级。The present invention also provides a method for classifying image contamination levels using the device for classifying image contamination levels, the method specifically includes: opening the LED light box in the dark box, and adjusting the parameters of the camera , and after adjusting the relative positions of the camera and the dirty image through the first retractable bracket and the second retractable bracket, respectively, the dirty image is captured, and the grayscale of the captured image is The corresponding contamination level of the classified image is determined according to the grayscale value of the grayscaled image.

进一步地,所述的图像的对应脏污等级总共分为256个级别。Further, the corresponding contamination levels of the image are divided into 256 levels in total.

与现有技术相比,本发明具有以下优点:Compared with the prior art, the present invention has the following advantages:

(1)提供了一种简单易行操作性强的图像脏污等级分类设备,该设备包括一个暗箱,暗箱里设置一个底座,在底座上放置一个LED灯箱,用来提供可控制的稳定光源,并且还有两个可伸缩支架,一根放置相机,一根放置脏污图像。调整好光源,相机和脏污图像的位置后,对脏污图像进行拍摄,对图像进行灰度化,通过脏污图像的灰度值确定图像脏污等级。(1) To provide a simple, easy-to-operate, and highly operable image contamination level classification device, the device includes a camera obscura, a base is set in the obscura, and an LED light box is placed on the base to provide a controllable and stable light source, And there are also two retractable stands, one for the camera and one for dirty images. After adjusting the light source, the camera and the position of the dirty image, take a picture of the dirty image, convert the image to grayscale, and determine the dirty level of the image by the grayscale value of the dirty image.

(2)本发明装置中的暗箱的骨架是用铝型材来搭建,并且用全遮光布覆盖住该立方体,形成了一个暗室,避免了太阳光、灯光等其光源以及其他非相干因素的影响。(2) The skeleton of the camera obscura in the device of the present invention is constructed of aluminum profiles, and the cube is covered with a full shading cloth to form a dark room, avoiding the influence of sunlight, lights and other light sources and other incoherent factors.

(3)基于本发明装置所提出的分类方法,根据图像脏污特性以及灰度值的特性。提供了一种可行性的图像脏污等级分类标准和方法。(3) Based on the classification method proposed by the device of the present invention, according to the characteristics of image contamination and gray value. A feasible image contamination level classification standard and method are provided.

附图说明Description of drawings

图1为本发明用于图像脏污等级分类的装置的整体结构示意图;1 is a schematic diagram of the overall structure of an apparatus for classifying image contamination levels according to the present invention;

图2为本发明用于图像脏污等级分类的装置中的脏污图像放置平台的侧面图;2 is a side view of a soiled image placement platform in the apparatus for classifying image soiling levels according to the present invention;

图中,1为暗箱,2为相机,3为第一可伸缩支架,4为底座,5为LED灯箱,6为第二可伸缩支架,7为第一亚克力板,8为第二亚克力板,9为可伸缩支架平台。In the figure, 1 is the camera obscura, 2 is the camera, 3 is the first retractable bracket, 4 is the base, 5 is the LED light box, 6 is the second retractable bracket, 7 is the first acrylic plate, 8 is the second acrylic plate, 9 is a retractable support platform.

具体实施方式Detailed ways

下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例是本发明的一部分实施例,而不是全部实施例。基于本发明中的实施例,本领域普通技术人员在没有做出创造性劳动的前提下所获得的所有其他实施例,都应属于本发明保护的范围。The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

实施例Example

本发明提供一种图像脏污等级分类的设备及方法,其结构如图1所示。包括一个暗箱1,以及设置在暗箱1里面的底座4,第一可伸缩支架3、第二可伸缩支架6,一根用来放置相机,一根用来放置脏污图像。The present invention provides a device and method for classifying image contamination levels, the structure of which is shown in FIG. 1 . It includes a camera obscura 1, a base 4 arranged in the obscura 1, a first retractable bracket 3 and a second retractable bracket 6, one for placing the camera and the other for placing the dirty image.

其中暗箱1的骨架是用铝型材来搭建,并且用全遮光布覆盖住该立方体,形成了一个暗室,避免了太阳光、灯光等其光源以及其他非相干因素的影响。而且暗箱1里面添加一底座4,用来放置第一可伸缩支架3、第二可伸缩支架6以及LED灯箱5,其中灯箱的作用是提供持续稳定的光源,保持每一次拍照的光源一致。The skeleton of the camera obscura 1 is constructed of aluminum profiles, and the cube is covered with a full shading cloth to form a dark room, which avoids the influence of sunlight, lights and other light sources and other incoherent factors. In addition, a base 4 is added to the camera obscura 1 for placing the first retractable bracket 3, the second retractable bracket 6 and the LED light box 5. The function of the light box is to provide a continuous and stable light source and keep the light source consistent for each photo.

其中第一可伸缩支架3、第二可伸缩支架6是两节套杆式。并且可伸缩式套杆上面连接着平台,用来放置东西。其中第一可伸缩支架3用来放置相机,第二可伸缩支架6用来放置脏污图像。第二可伸缩支架6上面的平台设计如图2所示,由可伸缩支架平台9和固定在上面的第一亚克力板7和第二亚克力板8组成。The first telescopic support 3 and the second telescopic support 6 are of the two-section sleeve rod type. And the retractable sleeve rod is connected to a platform for placing things. The first retractable bracket 3 is used to place the camera, and the second retractable bracket 6 is used to place the dirty image. The design of the platform above the second telescopic support 6 is shown in FIG. 2 , and is composed of a telescopic support platform 9 and a first acrylic plate 7 and a second acrylic plate 8 fixed on it.

经实验验证,透过亚克力板拍摄的脏污图像和直接拍摄的脏污图像经过灰度化之后,其灰度值基本不发生变化,所以采用亚克力板作为图像的固定装置,将脏污图像放置到第一亚克力板7和第二亚克力板8之间,即起到固定的作用。It has been verified by experiments that the gray value of the dirty images shot through the acrylic sheet and the directly shot dirty images are basically unchanged after grayscale. Between the first acrylic plate 7 and the second acrylic plate 8, it plays a fixed role.

本实例中相机2采用的单反相机,相机参数采用出厂默认参数。The SLR camera used in Camera 2 in this example, the camera parameters use the factory default parameters.

调整好相机2参数,第一可伸缩支架3、第二可伸缩支架6的高度,以及LED光源5后,进行拍摄。将拍摄后的图像取出。将拍摄的脏污图像进行灰度化,求取其灰度值。因为图像的灰度值表示的图像黑白特性,且灰度值的范围为0到255,所以采用灰度值代表其脏污等级,并将图像脏污等级分为256级。其中0级代表着图像脏污最为严重,255级别代表着图像最干净。After adjusting the parameters of the camera 2, the heights of the first retractable bracket 3, the second retractable bracket 6, and the LED light source 5, take a picture. Remove the captured image. Grayscale the captured dirty image, and obtain its grayscale value. Because the grayscale value of the image represents the black and white characteristics of the image, and the grayscale value ranges from 0 to 255, the grayscale value is used to represent its contamination level, and the image contamination level is divided into 256 levels. The 0 level represents the most dirty image, and the 255 level represents the cleanest image.

所以在本实例中,求取出灰度值后,便求出其图像的脏污等级。Therefore, in this example, after the gray value is obtained, the contamination level of the image is obtained.

以上所述,仅为本发明的具体实施方式,但本发明的保护范围并不局限于此,任何熟悉本技术领域的技术人员在本发明揭露的技术范围内,可轻易想到各种等效的修改或替换,这些修改或替换都应涵盖在本发明的保护范围之内。因此,本发明的保护范围应以权利要求的保护范围为准。The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited to this. Any person skilled in the art can easily think of various equivalents within the technical scope disclosed by the present invention. Modifications or substitutions should be included within the protection scope of the present invention. Therefore, the protection scope of the present invention should 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.
CN202010691117.4A 2020-07-17 2020-07-17 Device and method for classifying image pollution levels Pending CN111948214A (en)

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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

Patent Citations (8)

* Cited by examiner, † Cited by third party
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