CN112508852A - Method and system for detecting liquid level in liquid storage bottle - Google Patents
Method and system for detecting liquid level in liquid storage bottle Download PDFInfo
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- 238000003708 edge detection Methods 0.000 description 3
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Abstract
The invention relates to the technical field of image processing, in particular to a method and a system for detecting liquid level in a liquid storage bottle. The method comprises the following steps: collecting image information of the liquid storage bottle; converting the acquired image information into an LAB color space, and extracting brightness dimension information in the LAB color space; extracting a target area image where the liquid storage bottle is located according to the brightness dimension information, and performing convolution operation on the target area image to obtain edge contour information of the liquid level; and (4) carrying out binarization and image morphology processing on the edge contour information to extract a liquid level edge line in the liquid storage bottle. The liquid level detected by the method is found to be completely coincident with the actual liquid level through actual measurement verification, and the accuracy is high.
Description
Technical Field
The invention relates to the technical field of machine vision, in particular to a method and a system for detecting liquid level in a liquid storage bottle.
Background
With the continuous development of social economy, liquid quantity detection is a necessary inspection step in the production and filling process. At present, manual visual inspection methods are still used in many production lines in China, and the efficiency is low; with the continuous improvement of the technical level, machine vision is increasingly used for industrial intelligent production detection as an efficient and non-contact nondestructive detection method.
One conventional method for detecting liquid level is: for transparent bottled liquid, after a white backlight plate is used for lighting and drawing, the liquid level is detected by using methods of region extraction, threshold segmentation and edge detection, but for a semitransparent plastic bottle with frosted surface, the error is large, and the effect is poor.
Disclosure of Invention
The invention mainly solves the technical problem that the detection result of the existing liquid level detection method has larger error.
A method for detecting liquid level in a liquid storage bottle comprises the following steps:
collecting image information of the liquid storage bottle;
converting the acquired image information into an LAB color space, and extracting brightness dimension information in the LAB color space;
extracting a target area image where the liquid storage bottle is located according to the brightness dimension information;
performing convolution operation on the target area image to obtain edge contour information of the liquid level;
and carrying out binarization and image morphology processing on the edge contour information to extract a liquid level edge line in the liquid storage bottle.
In one embodiment, before acquiring the image information of the liquid storage bottle, the method further comprises: a background plate for reference and a light source for polishing are arranged around the liquid storage bottle.
In one embodiment, the convolving the target area image to obtain the edge contour information of the liquid level includes: and performing convolution operation on the target area by adopting a preset convolution kernel matrix, and extracting transverse edge information in the image of the target area as edge contour information of the liquid level.
In one embodiment, the binarizing the edge contour information and the image morphology processing to extract the liquid surface edge line in the liquid storage bottle comprises:
and performing opening operation, closing operation and corrosion treatment on the edge contour information, extracting a region with the largest contour region area, and performing skeletonization treatment on the region with the largest contour region area to obtain a liquid level edge skeleton line.
In one embodiment, the binarizing the edge contour information and the image morphology processing to extract the liquid level edge line in the liquid storage bottle further includes: and after the skeleton line at the edge of the liquid surface is obtained, performing curve fitting on points on the skeleton line at the edge of the liquid surface by adopting a least square method to obtain the edge line of the liquid surface.
A liquid level detection system in a liquid storage bottle, comprising:
the acquisition device is used for acquiring the image information of the liquid storage bottle;
the first extraction module is used for converting the acquired image information into an LAB color space and extracting brightness dimension information in the LAB color space;
the second extraction module is used for extracting a target area image where the liquid storage bottle is located according to the brightness dimension information;
the convolution operation module is used for performing convolution operation on the target area image to obtain edge contour information of the liquid level;
and the third extraction module is used for carrying out binarization and image morphology processing on the edge contour information to extract a liquid level edge line in the liquid storage bottle.
In one embodiment, further comprising:
the background plate is arranged on the back of the liquid storage bottle and is used for playing a background reference role;
and the light source is used for polishing the liquid storage bottle.
In one embodiment, the convolving the target area image to obtain the edge contour information of the liquid level includes: and performing convolution operation on the target area by adopting a preset convolution kernel matrix, and extracting transverse edge information in the image of the target area as edge contour information of the liquid level.
In one embodiment, the binarizing the edge contour information and the image morphology processing to extract the liquid surface edge line in the liquid storage bottle comprises:
and performing opening operation, closing operation and corrosion treatment on the edge contour information, extracting a region with the largest contour region area, and performing skeletonization treatment on the region with the largest contour region area to obtain a liquid level edge skeleton line.
In one embodiment, the binarizing the edge contour information and the image morphology processing to extract the liquid level edge line in the liquid storage bottle further includes: and after the skeleton line at the edge of the liquid surface is obtained, performing curve fitting on points on the skeleton line at the edge of the liquid surface by adopting a least square method to obtain the edge line of the liquid surface.
According to the liquid level detection method and the liquid level detection system in the liquid storage bottle of the embodiment, the method comprises the following steps: collecting image information of the liquid storage bottle; converting the acquired image information into an LAB color space, and extracting brightness dimension information in the LAB color space; extracting a target area image where the liquid storage bottle is located according to the brightness dimension information, and performing convolution operation on the target area image to obtain edge contour information of the liquid level; and (4) carrying out binarization and image morphology processing on the edge contour information to extract a liquid level edge line in the liquid storage bottle. The liquid level detected by the method is found to be completely coincident with the actual liquid level through actual measurement verification, and the accuracy is high.
Drawings
FIG. 1 is a flow chart of a liquid level detection method of the present application;
FIG. 2 is a diagram of L-dimension information extracted in an embodiment of the present application;
FIG. 3 is an image of a target area extracted according to an embodiment of the present application;
FIG. 4 is an image after convolution operation in the embodiment of the present application;
FIG. 5 is a convolution kernel matrix in an embodiment of the present application;
FIG. 6 is an image after ossification processing in an embodiment of the present application;
FIG. 7 is a schematic view of a liquid level curve after fitting in the embodiment of the present application;
FIG. 8 is a block diagram of the fluid level detection system of the present application.
Detailed Description
The present invention will be described in further detail with reference to the following detailed description and accompanying drawings. Wherein like elements in different embodiments are numbered with like associated elements. In the following description, numerous details are set forth in order to provide a better understanding of the present application. However, those skilled in the art will readily recognize that some of the features may be omitted or replaced with other elements, materials, methods in different instances. In some instances, certain operations related to the present application have not been shown or described in detail in order to avoid obscuring the core of the present application from excessive description, and it is not necessary for those skilled in the art to describe these operations in detail, so that they may be fully understood from the description in the specification and the general knowledge in the art.
Furthermore, the features, operations, or characteristics described in the specification may be combined in any suitable manner to form various embodiments. Also, the various steps or actions in the method descriptions may be transposed or transposed in order, as will be apparent to one of ordinary skill in the art. Thus, the various sequences in the specification and drawings are for the purpose of describing certain embodiments only and are not intended to imply a required sequence unless otherwise indicated where such sequence must be followed.
The first embodiment is as follows:
referring to fig. 1, the present embodiment provides a method for detecting a liquid level in a liquid storage bottle, the method comprising:
step 101: collecting image information of the liquid storage bottle;
step 102: converting the acquired image information into an LAB color space, and extracting brightness dimension information in the LAB color space;
step 103: extracting a target area image where the liquid storage bottle is located according to the brightness dimension information;
step 104: performing convolution operation on the target area image to obtain edge contour information of the liquid level;
step 105: and (4) carrying out binarization and image morphology processing on the edge contour information to extract a liquid level edge line in the liquid storage bottle.
Wherein, still include before the image information of gathering the stock solution bottle: a background plate for reference and a light source for polishing are arranged around the liquid storage bottle. In this embodiment, the detection method of this application is described by taking the liquid storage bottle to be detected of frosting as an example, and at first the liquid storage bottle to be detected is placed at the station that awaits measuring, and the background board of this embodiment chooses for use to be black, adopts two strip light sources illumination liquid storage bottle to be detected, the color image information of general high resolution camera liquid storage bottle. It should be noted that the selected color of the background plate and the color of the lamp for illumination may be selected according to the actual measurement environment, in other embodiments, the background plate may also be selected as white, and the light bar may also be selected as another color.
Wherein, in step 102, the Color image information acquired in step 101 is converted into an LAB (LAB Color space) Color space, and L-dimension information in the LAB Color space is extracted. The Lab Color Space (Lab Color Space) is a Color-opponent Space designed to approximate human vision, where the dimension L represents luminance, and a and b represent Color opponent dimensions; since we do not care about the color of the liquid, and only consider the difference change of the brightness between the liquid and the liquid-free part, only the L-dimension information (i.e., the brightness dimension information) is extracted, and the extracted L-dimension information is shown in fig. 2.
In step 103, firstly, the circumscribed rectangle of the region where the bottle is located is extracted, and according to the principle that the body region does not change relative to the whole bottle region, an image of a target region where the body part is located is extracted, where the image of the target region in this embodiment refers to the image of the region where the body part is located, as shown in fig. 3, the liquid level curve is included in the image of the target region.
Because the surface of the semitransparent frosted plastic bottle has small granular elements and light reflection, the traditional methods such as canny edge detection or binaryzation have poor effect and cannot position an outline area; however, as can be seen from fig. 4, the upper and lower regions of the liquid level are significantly different (the upper portion is light and the lower portion is dark), so that convolution is used as the edge detection method in step 104, the convolution kernel size is 9 × 9 (the size is not limited to 9 × 9), because the liquid level tends to be horizontal, the convolution kernel matrix is designed to be used for calculating the longitudinal gradient (i.e., the lateral edge), the size of the convolution kernel matrix can be adjusted according to the actual situation, and the present embodiment provides the convolution kernel matrix shown in fig. 5.
After the convolution kernel operation, the embodiment further performs OTSU (maximum inter-class variance method, sometimes referred to as "greater body fluid algorithm") binarization processing on the image after the convolution kernel operation, so that the part of the bottle body with the larger color difference between the upper side and the lower side of the liquid surface can be identified, the image is binarized, the color information and the background information of the image can be ignored, and more important morphological information is retained. And after the image binarization processing, the information amount of the image is greatly reduced, and the processing is more convenient.
Further, in step 105, the binarized image is subjected to an opening operation for separating finely connected features, removing interfering feature points, and a closing operation for closing features on the liquid level curve, and an erosion process. Finally, eliminating noise in the image through corrosion treatment. And finally, extracting the position with the maximum area of the outline region, namely the region where the liquid level edge is located, and performing skeletonization treatment on the region to obtain a skeleton line at the liquid level edge as shown in fig. 6.
Further, in this embodiment, a least square curve fitting is performed on points on the skeleton line of the liquid level edge, as shown in fig. 7, so that an equivalent liquid level edge curve can be obtained, and an equivalent horizontal line can be obtained according to the principle of equal area under the curve, and the equivalent horizontal line can be used for estimating the quality of the liquid in the liquid storage bottle.
The detection method provided by the embodiment adopts the black background and the double-strip-shaped light source to acquire the image, and combines convolution to achieve the method for detecting the liquid level of the semi-transparent frosted plastic bottle, the algorithm is simple, the steps are few, the real-time performance is good, the practicability is strong, and the detection method can be attached to an automatic production line to realize the on-line detection of production and detection.
It should be noted that, in a similar industrial detection scene, light sources with different frequency spectrums can be used, the liquid level is detected based on convolution and liquid level curve fitting, and the type of the liquid storage bottle which can be detected is not limited to the translucent frosted plastic bottle.
Example two:
referring to fig. 8, the present embodiment provides a liquid level detecting system in a liquid storage bottle, the detecting system includes: the device comprises a collecting device 201, a first extracting module 202, a second extracting module 203, a convolution operation module 204 and a third extracting module 205.
The acquisition device 201 is used for acquiring image information of the liquid storage bottle; the first extraction module 202 is configured to convert the acquired image information into an LAB color space, and extract luminance dimension information therein; the second extraction module 203 is used for extracting a target area image where the liquid storage bottle is located according to the brightness dimension information; the convolution operation module 204 is used for performing convolution operation on the target area image to obtain edge contour information of the liquid level; the third extraction module 205 is configured to extract a liquid level edge line in the liquid storage bottle by performing binarization and image morphology processing on the edge contour information.
Further, liquid level detection system still includes background board and light source in the stock solution bottle of this embodiment, and the background board sets up the effect that is used for playing the background reference at the back of stock solution bottle, and the light source is used for polishing the stock solution bottle.
In addition, the working method of each module in the system of this embodiment is the same as that in the first embodiment, and is not described herein again.
The present invention has been described in terms of specific examples, which are provided to aid understanding of the invention and are not intended to be limiting. For a person skilled in the art to which the invention pertains, several simple deductions, modifications or substitutions may be made according to the idea of the invention.
Claims (10)
1. A method for detecting liquid level in a liquid storage bottle is characterized by comprising the following steps:
collecting image information of the liquid storage bottle;
converting the acquired image information into an LAB color space, and extracting brightness dimension information in the LAB color space;
extracting a target area image where the liquid storage bottle is located according to the brightness dimension information;
performing convolution operation on the target area image to obtain edge contour information of the liquid level;
and carrying out binarization and image morphology processing on the edge contour information to extract a liquid level edge line in the liquid storage bottle.
2. The method of claim 1, further comprising, prior to collecting image information of the liquid storage bottle: a background plate for reference and a light source for polishing are arranged around the liquid storage bottle.
3. The method for detecting the liquid level in the liquid storage bottle according to claim 1, wherein the step of performing convolution operation on the target area image to obtain the edge profile information of the liquid level comprises the steps of: and performing convolution operation on the target area by adopting a preset convolution kernel matrix, and extracting transverse edge information in the image of the target area as edge contour information of the liquid level.
4. The method for detecting the liquid level in the liquid storage bottle according to claim 1, wherein the binarizing and image morphology processing the edge contour information to extract the liquid level edge line in the liquid storage bottle comprises:
and performing opening operation, closing operation and corrosion treatment on the edge contour information, extracting a region with the largest contour region area, and performing skeletonization treatment on the region with the largest contour region area to obtain a liquid level edge skeleton line.
5. The method for detecting the liquid level in the liquid storage bottle according to claim 4, wherein the binarizing the edge contour information and the image morphology processing to extract the liquid level edge line in the liquid storage bottle further comprises: and after the skeleton line at the edge of the liquid surface is obtained, performing curve fitting on points on the skeleton line at the edge of the liquid surface by adopting a least square method to obtain the edge line of the liquid surface.
6. A liquid level detection system in a liquid storage bottle is characterized by comprising:
the acquisition device is used for acquiring the image information of the liquid storage bottle;
the first extraction module is used for converting the acquired image information into an LAB color space and extracting brightness dimension information in the LAB color space;
the second extraction module is used for extracting a target area image where the liquid storage bottle is located according to the brightness dimension information;
the convolution operation module is used for performing convolution operation on the target area image to obtain edge contour information of the liquid level;
and the third extraction module is used for carrying out binarization and image morphology processing on the edge contour information to extract a liquid level edge line in the liquid storage bottle.
7. The system for detecting liquid level in a liquid storage bottle of claim 6, further comprising:
the background plate is arranged on the back of the liquid storage bottle and is used for playing a background reference role;
and the light source is used for polishing the liquid storage bottle.
8. The system of claim 6, wherein the convolving the target region image to obtain the edge profile information of the liquid level comprises: and performing convolution operation on the target area by adopting a preset convolution kernel matrix, and extracting transverse edge information in the image of the target area as edge contour information of the liquid level.
9. The system for detecting the liquid level in the liquid storage bottle as claimed in claim 6, wherein the binarizing the edge contour information and the image morphology processing to extract the liquid level edge line in the liquid storage bottle comprises:
and performing opening operation, closing operation and corrosion treatment on the edge contour information, extracting a region with the largest contour region area, and performing skeletonization treatment on the region with the largest contour region area to obtain a liquid level edge skeleton line.
10. The system for detecting liquid level in a liquid storage bottle according to claim 9, wherein the binarizing the edge contour information and the image morphology processing to extract the liquid level edge line in the liquid storage bottle further comprises: and after the skeleton line at the edge of the liquid surface is obtained, performing curve fitting on points on the skeleton line at the edge of the liquid surface by adopting a least square method to obtain the edge line of the liquid surface.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113516702A (en) * | 2021-07-16 | 2021-10-19 | 中国科学院自动化研究所 | Method and system for detecting liquid level of automatic liquid preparation ampoule bottle and method for detecting proportion of liquid medicine |
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| JPH0793561A (en) * | 1993-09-20 | 1995-04-07 | Toshiba Corp | Edge and contour extractor |
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