WO2020140611A1

WO2020140611A1 - Vin code identification method based on image processing, device and medium

Info

Publication number: WO2020140611A1
Application number: PCT/CN2019/117069
Authority: WO
Inventors: 林春伟; 马进; 王健宗
Original assignee: 平安科技（深圳）有限公司
Priority date: 2019-01-04
Filing date: 2019-11-11
Publication date: 2020-07-09
Also published as: CN109784322A

Abstract

A vin code identification method based on image processing, a device and a medium, applied to the technical field of image processing. The method comprises: obtaining vehicle environment information of a target vehicle (101); determining a target photographing parameter according to the vehicle environment information, and acquiring a vin code image of the target vehicle by using a photographing device according to the target photographing parameter (102); performing edge detection on the vin code image to obtain an edge image subjected to the edge detection (103); performing morphological closing operation on the edge image to obtain a closing operation image (104); performing morphological opening operation on the closing operation image to obtain an opening operation image (105); determining a minimum enclosing rectangle of a vin code region in the opening operation image, and determining the region determined by the minimum enclosing rectangle as the vin code region of the target vehicle (106); and identifying the vin code region of the target vehicle to identify the vin code (107). The method is conductive to improving the identification efficiency of the vin code of the vehicle image.

Description

Vin code recognition method, device and medium based on image processing

This application requires the priority of the Chinese patent application submitted to the China Patent Office on January 04, 2019, with the application number 201910013905.5 and the application name as "a vin code recognition method, equipment and medium based on image processing", all of its content Incorporated by reference in this application.

Technical field

The present application relates to the field of image processing technology, and in particular, to a vin code recognition method, device, and medium based on image processing.

Background technique

At present, we often encounter scenarios of obtaining vehicle identification number (Vehicle Identification Number, vin) information, such as when handling vehicle business. In the process of the insurance salesman handling the car insurance business, it is often necessary to manually take pictures of the vehicle's vin code and archive it, and manually enter the vin code information, which is less efficient. In order to improve efficiency, you can use image recognition to automatically recognize the vin code in the picture taken by the salesperson. The first step in recognition is to extract the area where the vin code sign is located in the image. Therefore, how to identify the vin code area to further identify the vin code, thereby improving the efficiency of image recognition becomes the key.

Summary of the invention

Embodiments of the present application provide a vin code recognition method, device, and medium based on image processing, which help to improve the recognition efficiency of the vin code of a vehicle image.

In a first aspect, an embodiment of the present application provides a vin code recognition method based on image processing, including:

Obtain vehicle environment information of the target vehicle within the shooting range of the shooting device, where the vehicle environment information includes the model of the target vehicle, the ambient light intensity of the target vehicle, and the distance between the target vehicle and the shooting device Any one or more of distance and system time;

Determining a target shooting parameter for shooting the target vehicle according to the vehicle environment information, using the shooting device and collecting a vin code image of the target vehicle according to the target shooting parameter, the vin code image including the target The vin code area of the vehicle;

Performing edge detection on the vin code image to obtain an edge image after edge detection;

Performing a morphological closed operation on the edge image to obtain a closed operation image;

Performing morphological opening operation on the closed operation image to obtain an open operation image;

Determine the minimum circumscribed rectangle of the vin code area in the open operation image, and determine the area determined by the minimum circumscribed rectangle as the vin code area of the target vehicle;

The vin code area of the target vehicle is identified to identify the vin code of the target vehicle.

In a second aspect, an embodiment of the present application provides an image processing device including an unit for performing the method of the first aspect described above.

In a third aspect, an embodiment of the present application provides another image processing device, including a processor and a memory, where the processor and the memory are connected to each other, wherein the memory is used to store a computer program that supports the image processing device to execute the above method The computer program includes program instructions, and the processor is configured to call the program instructions to perform the method of the first aspect. Optionally, the image processing device may further include a user interface and/or a communication interface.

According to a fourth aspect, an embodiment of the present application provides a computer non-volatile readable storage medium, where the computer non-volatile readable storage medium stores a computer program, the computer program includes program instructions, and the program instructions When executed by a processor, the processor is caused to perform the method of the first aspect described above.

The embodiments of the present application can obtain the vehicle environment information of the vehicle, determine the shooting parameters according to the vehicle environment information, and collect the vin code image of the vehicle according to the shooting parameters, and then can obtain the edge image by performing edge detection on the vin code image , Perform morphological close operation and open operation on the edge image, and then extract the vin code area of the vehicle according to the smallest circumscribed rectangle in the image to identify the vin code area to obtain the vin code of the vehicle, thereby improving the vin code The shooting effect of the image improves the reliability of the acquired vin code image and helps to improve the recognition efficiency of the vin code of the vehicle image.

BRIEF DESCRIPTION

In order to more clearly explain the technical solutions of the embodiments of the present application, the drawings required in the description of the embodiments will be described below.

1 is a schematic flowchart of a vin code recognition method based on image processing provided by an embodiment of the present application;

2 is a schematic flowchart of another vin code recognition method based on image processing provided by an embodiment of the present application;

3 is a schematic structural diagram of an image processing device provided by an embodiment of the present application;

4 is a schematic structural diagram of another image processing device provided by an embodiment of the present application.

detailed description

The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.

The technical solution of the present application may be applied to an image processing device, which may include various terminals, servers, or other devices, for processing an image, such as extracting a vin code area in an image, identifying a vin code in an image and many more. The terminal involved in this application may be a mobile phone, computer, tablet, personal computer, smart watch, etc. This application is not limited.

This application can determine the shooting parameters according to the vehicle environment information by acquiring vehicle environment information of the vehicle, such as the vehicle model, the ambient light intensity of the vehicle, the distance between the vehicle and the shooting device, and/or the system time, etc. According to the shooting parameters, the vin code image of the vehicle is collected, which improves the shooting effect of the vin code image and the reliability of the obtained vin code image; furthermore, the edge image can be obtained by performing edge detection on the vin code image. The edge image is morphologically closed and opened, and then the vin code area of the vehicle is extracted according to the smallest circumscribed rectangle in the image to identify the vin code area to obtain the vin code of the vehicle, thereby helping to improve the vehicle The recognition efficiency of the vin code of the image. Each is explained in detail below.

Please refer to FIG. 1. FIG. 1 is a schematic flowchart of a vin code recognition method based on image processing provided by an embodiment of the present application. Specifically, the method of this embodiment may be specifically applied to the above-mentioned image processing device. As shown in FIG. 1, the vin code recognition method based on image processing may include the following steps:

101. Acquire vehicle environment information of a target vehicle within a shooting range of a shooting device.

Wherein, the shooting device may be a camera, a video camera, a camera, or other devices or devices that can be used for shooting, and the shooting device may be provided in the image processing device, or may be connected to the image processing device. The shooting range may be a range where the shooting device can collect images, or may be a range where the quality of the captured image of the shooting device is greater than a preset quality threshold, or may be a preset distance range, etc., which is not done in this application limited.

Optionally, the target vehicle may refer to any vehicle within the shooting range, or may be a vehicle of a specific vehicle type within the shooting range, or may be a vehicle of a specific location area within the shooting range, or may be the shooting range Vehicles that emit instruction signals (such as turning on double flashes or turning on wipers, etc.), etc., can be set in advance to obtain the selection rules of the target vehicle, thereby improving the flexibility of selecting the target vehicle.

Further optionally, the vehicle environment information may include the model of the target vehicle, the ambient light intensity of the target vehicle, the distance between the target vehicle and the shooting device (or between the target vehicle and the image processing device Any one or more of the information items such as distance) and system time. Further optionally, the vehicle environment information may be input by the user; or it may be automatically recognized by the image processing device, for example, by previewing the collected image of the target vehicle to determine its vehicle type, and determining the distance by a preset distance sensor, The ambient light intensity is determined by a preset light sensor, the system time is determined by a preset time module, etc.; or it may be sent to the image processing device after other devices (such as the target vehicle) recognize the vehicle environmental information The image processing device can receive the vehicle environment information of the target vehicle sent from other devices, and so on, which are not enumerated here.

102. Determine the target shooting parameters for shooting the target vehicle according to the vehicle environment information, use the shooting device and collect the vin code image of the target vehicle according to the target shooting parameters, the vin code image includes the vin code area of the target vehicle .

Among them, vin (Vehicle Identification Number) can be called the vehicle identification number, can also be called the frame number and so on. The vin code is a set of seventeen numbers that is used to identify a unique number of vehicles. In other words, each vehicle has a unique vin code. The vin code can identify the vehicle manufacturer, engine, chassis serial number, and other performance data.

Optionally, when determining the target shooting parameters for shooting the target vehicle, the image processing device may quickly determine the correspondence of the vehicle environment information based on the correspondence between preset vehicle environment information and shooting parameters The shooting parameters are used as the target shooting parameters to improve the determination efficiency of the shooting parameters; or, the image processing device may also be based on the vehicle environment information such as the vehicle model, based on the captured vin code image of the target vehicle and the vehicle model stored in the database The similarity of each vin code image sample under the vehicle model, the shooting parameters corresponding to the vin code image sample with the highest vin code image similarity of the target vehicle in the database for the target vehicle are taken as the target shooting parameter of the target vehicle, the database It can store multiple vin code image samples, multiple car models, and (preferred) shooting parameters corresponding to each vin code image sample and each car model; or, the image processing device can also be based on the vehicle environment information. Manually adjusted shooting parameters of the vehicle with the same vehicle environmental information as the target shooting parameters, and so on, are not listed here one by one.

Further, after determining the shooting parameters for shooting the vin code of the target vehicle, that is, the target shooting parameters, the shooting device can be used to collect (shoot) the vin code image of the target vehicle with the target shooting parameters, that is, the target The vin code area of the vehicle is photographed to obtain a vin code image including the vin code area.

Optionally, the shooting parameters involved in the present application, such as target shooting parameters, may include a shooting angle (to control the shooting device to shoot at the shooting angle), a focal length, an aperture, an ISO and/or EV value, etc., which is not limited in this application.

103. Perform edge detection on the vin code image to obtain an edge image after edge detection.

After acquiring the vin code image including the vin code area, the vin code image can be processed to extract the vin code area. When processing the vin code image, edge detection can be performed on the vin code image, for example, the edge detection can be performed using a Canny operator. The characteristic of the Canny algorithm is to try to assemble candidate pixels of independent edges into an outline. The specific algorithm steps of Canny operator to find edge points are as follows:

1) Use a Gaussian filter to convolve the image (such as the vin code image) to smooth the image and filter out noise;

2) Use the first-order partial derivative finite difference to calculate the gradient amplitude (gradient strength) and direction of each pixel in the image; the edges in the image can point in various directions, and the Canny algorithm can use operators (such as Roberts, Prewitt, Sobel, etc.) ) To detect the horizontal, vertical, and diagonal edges in the image, and obtain the first derivative values in the horizontal and vertical directions, thereby determining the gradient amplitude and direction of the pixel, where the gradient direction is calculated and the gradient operator is selected be consistent;

3) Perform non-maximum suppression on the gradient amplitude to eliminate the spurious response caused by edge detection; specifically, when performing non-maximum suppression on each pixel in the gradient image, the gradient intensity of the current pixel can be Compare the two pixels along the positive and negative gradient direction. If the gradient intensity of the current pixel is the largest compared to the other two pixels, the pixel point will remain as an edge point, otherwise the pixel point will be suppressed, thus the local maximum All gradient values except for are suppressed to 0 in order to achieve a "thin" edge;

4) Double-Threshold algorithm is used to detect and connect edges; specifically, after 3), there are still some edge pixels caused by noise and color changes, which can be set by setting high and low thresholds, if the edge pixels The gradient value of is higher than the high threshold, it can be marked as a strong edge pixel; if the gradient value of the edge pixel is less than the high threshold and greater than the low threshold, it can be marked as a weak edge pixel; if the gradient value of the edge pixel is less than low The threshold is suppressed. Therefore, it is possible to extract useful structural information from different visual objects through edge detection, and reduce the amount of data to be processed.

104. Perform a morphological close operation on the edge image to obtain a closed operation image.

After edge detection is performed on the vin code image to obtain an edge detection result image, that is, an edge image, a morphological closing operation can also be performed on the edge graphic, which is expanded first and then corroded. Thus, the morphological closed calculation result is obtained to exclude small black holes (black areas). When performing morphological closed operations, the structural element used may be a row vector structural element with a size of 1*N to connect discontinuous edges in the horizontal direction. Among them, N can be the number of columns, which can be used to indicate the width of the structural element, and N is greater than 0.

Optionally, the N may be obtained according to the resolution setting of the vin code image; and/or, the N may be obtained according to the size setting of the vin code area in the vin code image, and the size may include length or width ; And/or, the N may be set according to the ratio of the character pitch in the vin code area to the size of the vin code image; and/or, the N may be obtained according to the width setting of the vin code image. For example, the N can be set according to the resolution of the image and/or the size (size) of the vin code area in the image. The larger the resolution and/or the larger the vin code area, the larger the value of N, which can be set in advance. Correspondence with the resolution of the image (and/or the size of the vin code area in the image). For another example, the N can be obtained based on the statistical relationship between the character pitch size of the vin code area and the vin code image size in the captured image. For example, the larger the ratio between the character pitch size and the vin code image size, the larger the value of N. Specifically, The correspondence relationship between N and the ratio of the character pitch size to the image size is preset. For another example, the N can be obtained according to the image width setting, for example, the value of the N can be 5% of the image width. Thus, the morphological closed calculation result is obtained to exclude small black holes (black areas). That is to say, the structural element N for the closed operation can be obtained according to the parameters such as the resolution of the image and/or the size of the vin code area in the image, the ratio of the character pitch of the vin code area in the image to the image size, and the image width. , Higher flexibility and improved image processing effect.

105. Perform morphological opening operation on the closed operation image to obtain an open operation image.

After the morphology close operation is performed, the morphology open operation processing is performed, firstly eroded and then expanded to remove small-size noise in the image. The structural elements used in the open operation of morphology can be consistent with the structural elements used in the closed operation described above. Thus, the morphological opening operation result is obtained to achieve the effects of eliminating small objects, separating objects at slender points, and smoothing the boundaries of larger objects without significantly changing their area.

106. Determine the minimum circumscribed rectangle of the vin code area in the open operation image, and determine the area determined by the minimum circumscribed rectangle as the vin code area of the target vehicle.

In the result image obtained in step 105, the part displayed as white is the foreground, and the black part is the background. By scanning the result image, the minimum circumscribed rectangle of the foreground part can be calculated, and then the minimum circumscribed rectangle The determined (enclosed) area is the area where the vin code sign is located, that is, the vin code area.

That is to say, when extracting the vin code area in the image, this application can use a set of simple and fast algorithms to determine the vin code area by using edge detection, morphological close operation, and morphological open operation to calculate the smallest circumscribed rectangle, and then identify Vin code. It can be seen that the method proposed in this application can better extract the vin code region from the original image.

107. Identify the vin code area of the target vehicle to identify the vin code of the target vehicle.

After the vin code area is extracted, an image of the vin code area can be stored, and/or a character (signage) or barcode included in the vin code area can be further recognized. Optionally, the manner of identifying the vin code area includes OCR character recognition or other recognition methods, which is not limited in this solution.

Optionally, in order to ensure the reliability of the identified vin code, after the vin code is identified, the vin can also be checked to determine whether it is correct/legal, such as the identification of the vin code The 9th digit is checked. Because the ninth bit of the vin code is always a check digit, the correct check digit can be obtained by performing a series of calculations on other bits in the vin code (wherein the ninth bit of the vin code is any one of 1-9 The number or "X". The calculation method can be multiplied by the corresponding value of each remaining letter or number in vin by the weighting coefficient of the bit, and then divided by 11, the remainder is the check digit. If the remainder is 10, the check digit The bit is "X", the weighting coefficient can be found in the "World Automobile Identification Code (VIN) Information Manual" P21 ~ 23. For example, first convert the letters in the other 16 bits into numbers according to the following relationship: A = 1 B = 2 C =3 D = 4 E = 5 F = 6 G = 7 H = 8 J = 1 K = 2 L = 3 M = 4 N = 5 P = 7 R = 9 S = 2 T = 3 U = 4 V = 5 W = 6 X = 7 Y = 8 Z = 9, each position and its corresponding weighting coefficient are: position: 1 2 3 4 4 5 6 7 8 8 9 10 11 12 13 14 15 16 16 weighting coefficient 8 7 6 5 4 4 3 2 10*9 8 7 7 6 5 4 3 2), and then by comparing the calculated check digit with the 9th digit to determine whether the two are the same, to determine whether there is an error in the recognized vin code , That is, when the two are different, it indicates that there is an error in the vin code. Or, it can detect whether there are illegal characters in the recognized vin code. Specifically, it can be matched and matched by presetting a white list of legal characters. If there are illegal characters, such as characters outside the white list, such as I, O, Q, etc. , It can be determined that the recognized vin code has an error. Alternatively, the number of digits of the recognized vin code can be detected because the normal vin code is a fixed 17 bits. If it is longer or shorter than 17 bits, it can be determined that the recognized vin code has an error. If it is determined that there is an error in the recognized vin code, it can also trigger re-identification (if the number of errors reaches the preset number of thresholds such as 3 times, the vin code area can be extracted and re-identified again), or an alarm message is issued to prompt manual Identification or detection, etc.

After the correct vin code is obtained, the vin code can be stored, or the vehicle business such as auto insurance can be processed based on the vin code, thereby improving the intelligence and efficiency of business processing.

The vin code area extraction method of the present application improves the detection efficiency when extracting the vin code area in the image, can well overcome the interference of the vehicle body reflecting the scene, has high accuracy, and can be applied to the limited performance It is widely used in embedded systems.

In this embodiment, the image processing device can obtain the vehicle environment information of the vehicle, determine the shooting parameters according to the vehicle environment information, and collect the vin code image of the vehicle according to the shooting parameters, and then can perform the vin code image Edge detection obtains an edge image, performs morphological close operation and open operation on the edge image, and then extracts the vin code area of the vehicle according to the smallest circumscribed rectangle in the image, to obtain the vin code of the vehicle by identifying the vin code area, Therefore, the shooting effect of the vin code image is improved, the reliability of the acquired vin code image is improved, and the recognition efficiency of the vin code of the vehicle image is improved.

Please refer to FIG. 2, which is a schematic flowchart of another vin code recognition method based on image processing provided by an embodiment of the present application. Specifically, as shown in FIG. 2, the vin code recognition method based on image processing may include the following steps:

201. Acquire vehicle environment information of a target vehicle within a shooting range of the shooting device.

The vehicle environment information may include any one or more of information such as the model of the target vehicle, the ambient light intensity of the target vehicle, the distance between the target vehicle and the shooting device, and the system time. For the description of this step 201, reference may be made to the relevant description of step 101 in the embodiment shown in FIG. 1 above, which is not repeated here.

202. Determine the shooting parameters corresponding to the vehicle environment information of the target vehicle according to the preset correspondence between the vehicle environment information and the shooting parameters, and determine the determined shooting parameters as the target shooting for shooting the target vehicle parameter.

Optionally, in a possible implementation manner, the vehicle environment information of the target vehicle may include the vehicle model of the target vehicle. When the image processing device determines the target shooting parameter, it may find the shooting parameter corresponding to the same vehicle model as the target vehicle model from the database according to the preset correspondence between the vehicle model and the shooting parameter, and find out The shooting parameter of is determined as the target shooting parameter for shooting the target vehicle. Among them, a variety of vehicle models and shooting parameters corresponding to each vehicle model can be pre-stored in the database. The shooting parameters corresponding to each vehicle model may be selected vin code images with better shooting effects under the vehicle model, such as shooting quality greater than the preset quality threshold and/or vin code area accounting for the image ratio greater than the preset ratio threshold, etc. Sample shooting parameters.

Optionally, in a possible implementation manner, the vehicle environment information of the target vehicle may include the vehicle model of the target vehicle and the ambient light intensity where the target vehicle is located. When determining the target shooting parameter, the image processing device may determine the target ambient light intensity interval where the target vehicle is located in the multiple ambient light intensity intervals according to the preset multiple ambient light intensity intervals ; According to the correspondence between the preset vehicle model, the ambient light intensity interval and the shooting parameters, find the shooting parameters corresponding to the target vehicle model and the target ambient light intensity interval from the database, and The found shooting parameters are determined as target shooting parameters for shooting the target vehicle. Among them, the database may pre-store multiple vehicle models, the multiple ambient light intensity intervals, and shooting parameters corresponding to each vehicle model and each ambient light intensity interval.

Optionally, in a possible implementation manner, the vehicle environment information of the target vehicle includes the model of the target vehicle and the distance between the target vehicle and the shooting device. When the image processing device determines the target shooting parameter, it may determine the target distance interval where the distance between the target vehicle and the shooting device is in the multiple distance intervals according to preset multiple distance intervals; according to the preset Correspondence between the vehicle model, distance interval and shooting parameters, the shooting parameters corresponding to the vehicle model of the target vehicle and the target distance interval are found from the database, and the found shooting parameters are determined as the For shooting the target shooting parameters of the target vehicle. Among them, the database may pre-store a variety of vehicle models, the plurality of distance intervals, and shooting parameters corresponding to each vehicle model and each distance interval.

Optionally, in a possible implementation manner, the vehicle environment information of the target vehicle includes the vehicle model and system time of the target vehicle. When the image processing device determines the target shooting parameter, the target time period to which the system time belongs in the multiple time periods may be determined according to preset multiple time periods; according to the preset vehicle model, time period and shooting parameters Correspondence between the three, the shooting parameters corresponding to the vehicle model of the target vehicle and the target time period are found from the database, and the found shooting parameters are determined as the target shooting for shooting the target vehicle parameter. Among them, a plurality of vehicle models, the plurality of time periods, and shooting parameters corresponding to each vehicle model and each time period may be pre-stored in the database.

Optionally, in a possible implementation manner, the vehicle environment information of the target vehicle includes the system time, and the image processing device may determine the target shooting parameter according to the preset time period and the corresponding relationship between the shooting parameters to determine The shooting parameter corresponding to the system time is used as the target shooting parameter; or, the vehicle environment information of the target vehicle includes the ambient light intensity of the target vehicle. The image processing device may determine the target shooting parameter according to the preset ambient light The corresponding relationship between the intensity interval and the shooting parameters determines the shooting parameters corresponding to the ambient light intensity as the target shooting parameters; the vehicle environment information of the target vehicle includes the distance between the target vehicle and the shooting device, and the image processing device determines For the target shooting parameter, the shooting parameter corresponding to the distance may be determined as the target shooting parameter according to the correspondence between the preset distance interval and the shooting parameter; or, the vehicle environment information may further include the target vehicle model, the The ambient light intensity of the target vehicle, the distance between the target vehicle and the shooting device and the system time, or include the ambient light intensity of the target vehicle and the distance between the target vehicle and the shooting device, or include The ambient light intensity and system time of the target vehicle are used to determine the target shooting parameters based on the corresponding relationship between the corresponding vehicle environment information and the shooting parameters, etc., which are not listed here one by one.

For example, when it is necessary to identify the information of a certain vehicle such as the vin code, the shooting device can be called to shoot the vin code area to obtain a captured image including the vin code, referred to as the vin code image for short. Or, in an optional embodiment, the shooting device can be loaded at a fixed position, and the shooting device can be rotated, that is, the shooting angle of the shooting device can be adjusted. Therefore, the vin code image in the historical data collected by the shooting device can be analyzed to obtain vin code image data of different car models, and the better shooting effect can be selected from them (such as covering all the vin code area with less interference) ) Vin code image, obtain the shooting parameters of the vin code image, preset to obtain the corresponding relationship between each vehicle model and the shooting parameters, so that the shooting device can quickly call the shooting parameters according to the vehicle model after identifying the vehicle model, including Camera shooting angle (control camera shooting at this shooting angle), focal length, aperture, ISO, EV value, etc.

For another example, the time and/or ambient light intensity can also be combined to obtain the shooting time and shooting parameters of the vin code image with better shooting results in the historical data, and then the current vehicle model and current time (and/or ambient light) can be obtained by Intensity) to quickly recall more matching shooting parameters to improve shooting reliability. Different times or different ambient light intensities will affect the shooting effect, for example, the image effects obtained by shooting with the same shooting parameters during the day and night are completely different. Thereby, the correspondence between different time periods and vehicle models and the shooting parameters of the shooting device can be preset; or, the correspondence between the ambient light intensity and the vehicle model and the shooting parameters of the shooting device can be preset. Or, pre-set correspondence between different time periods, ambient light intensity, vehicle model, and shooting parameters of the shooting device, and so on. For example, by analyzing the vin-code images in the historical data collected by the shooting device (each vin-code image is associated with the recording time when the image was captured), vin-code image data of different time periods can be obtained, and According to the vin code image data of the same vehicle type in each time period, select a vin code image with better shooting effect, obtain the shooting parameters of the vin code image, so as to determine different time periods and vehicle models, and the shooting parameters of the shooting device Corresponding relationship between; so that the camera can quickly call the corresponding shooting parameters according to the identified time zone and vehicle model after the current time zone and the vehicle model are identified. For another example, the vin code image data in different ambient light intensities can be obtained by analyzing the vin code images in the historical data collected by the photographing device (each vin code image correlates and records the ambient light intensity at the time of capturing the image) , And according to the vin code image data of the same car model in each ambient light intensity section, select a vin code image with better shooting effect, obtain the shooting parameters of the vin code image, so as to determine different ambient light intensity sections and vehicle models, and Correspondence between the shooting parameters of the shooting device; so that the shooting device can quickly call the corresponding shooting according to the identified ambient light intensity section and vehicle model after identifying the ambient light intensity section where the current ambient light intensity is located and the vehicle model Parameters for shooting.

203. Use the shooting device and collect the vin code image of the target vehicle according to the target shooting parameter, where the vin code image includes the vin code area of the target vehicle.

204. Perform a top hat tophat transformation on the vin code image to obtain a tophat transformed vin code image.

Among them, the tophat transformation can be used to detect bright details in dark places and extract areas with higher gray levels in the image. By tophat transforming the captured vin code image, the interference received by the vin code image area can be reduced. Since tophat is better for detecting bright details in dark places in image segmentation, especially for objects with uniform width or size, tophat transformation can be performed on the captured vin code image to further distinguish the vin code area. Optionally, there are some reflection disturbances of the vehicle body in the vin code image. In order to reduce these interferences, the vin code image obtained by the original shooting, that is, the original image, can be converted into a grayscale image. After the converted grayscale image is obtained, then The tophat transform is performed on the grayscale image to obtain the tophat transform result. After the original vin code image is filtered by tophat, it has a simple and uniform background and foreground, so as to better distinguish the vin code area.

For example, the tophat transformation of the grayscale image f is defined as the result of f minus its opening operation, that is, That(f)=f-(f°b), where b is the mean filter template and ° is the opening operation.

Optionally, in some embodiments, if the shooting conditions are better, for example, the brightness of the vin code image is within the preset brightness interval, the tophat transformation may not be performed. Thereby reducing equipment overhead. Therefore, by detecting whether the brightness of the vin code image is within the preset brightness interval range; if the brightness of the vin code image is not within the brightness interval range, the tophat transformation is performed on the vin code image to obtain the tophat transformation After the vin code image. Further optionally, if the brightness of the vin code image is within the range of the brightness interval, edge detection may be performed directly on the vin code image without tophat transformation, which will not be described here.

205. Perform edge detection on the tophat-transformed vin code image to obtain an edge image after edge detection.

If there is no need to perform tophat transformation, you can directly perform edge detection on the collected vin code image, which will not be repeated here.

206. Perform a morphological close operation on the edge image to obtain a closed operation image.

207. Perform morphological opening operation on the closed operation image to obtain an open operation image.

208. Determine the minimum circumscribed rectangle of the vin code area in the open operation image, and determine the area determined by the minimum circumscribed rectangle as the vin code area of the target vehicle.

That is to say, when extracting the vin code region in the image, this application can use tophat transform, edge detection, morphological closed operation, morphological open operation, a set of simple and fast algorithms to calculate the minimum circumscribed rectangle to determine the vin code region To identify the vin code.

209. Identify the vin code area of the target vehicle to identify the vin code of the target vehicle.

Optionally, for the description of the steps 203 and 205-209, please refer to the relevant description of the steps 102-107 in the embodiment shown in FIG. 1, which is not repeated here.

In this embodiment, the image processing device can determine the shooting parameters of the vehicle according to the correspondence between the preset vehicle environment information and the shooting parameters by acquiring the vehicle environment information of the vehicle, and collect the vin code of the vehicle according to the shooting parameters The image can be obtained by performing a tophat transformation on the vin code image, performing edge detection after the tophat transformation to obtain an edge image, and performing a morphological close operation and an open operation on the edge image, and then extracting the vehicle's vin code area, to obtain the vin code of the vehicle by identifying the vin code area, thereby improving the shooting effect of the vin code image, the reliability of the obtained vin code image, and the vin code of the vehicle image Recognize efficiency.

The above method embodiments are all examples of the vin code recognition method based on image processing of the present application, and the description of each embodiment has its own focus. For a part that is not detailed in an embodiment, you can refer to the other embodiments. description.

Please refer to FIG. 3, which is a schematic structural diagram of an image processing device according to an embodiment of the present application. The image processing apparatus of the embodiment of the present application includes a unit for performing the above-described image processing-based vin code recognition method. Specifically, the image processing apparatus 300 of this embodiment may include: an acquisition unit 301 and a processing unit 302. among them,

The obtaining unit 301 is configured to obtain the vehicle environment information of the target vehicle within the shooting range of the shooting device, the vehicle environment information including the vehicle model of the target vehicle, the ambient light intensity of the target vehicle, the target vehicle and the location Any one or more of the distance between the shooting devices and the system time;

The processing unit 302 is configured to determine target shooting parameters for shooting the target vehicle according to the vehicle environment information,

The obtaining unit 301 is further configured to collect the vin code image of the target vehicle according to the target shooting parameter using the shooting device, and the vin code image includes the vin code area of the target vehicle;

The processing unit 302 is further configured to perform edge detection on the vin code image to obtain an edge image after edge detection; perform a morphological closed operation on the edge image to obtain a closed operation image; and perform a closed operation image on Morphological open operation to obtain an open operation image; determine the minimum circumscribed rectangle of the vin code area in the open operation image, and determine the area determined by the minimum circumscribed rectangle as the vin code area of the target vehicle; The vin code area of the target vehicle is identified to identify the vin code of the target vehicle.

Optionally, the processing unit 302 may be specifically configured to determine the shooting parameters corresponding to the vehicle environment information of the target vehicle according to the preset correspondence relationship between the vehicle environment information and the shooting parameters, and store the determined shooting The parameter is determined as a target shooting parameter for shooting the target vehicle.

Further optionally, the vehicle environment information of the target vehicle includes the vehicle model of the target vehicle;

The processing unit 302 may be specifically configured to search for the shooting parameters corresponding to the same vehicle model as the target vehicle model from the database according to the preset correspondence between the vehicle model and the shooting parameters, and store the found The shooting parameters are determined as target shooting parameters for shooting the target vehicle;

Wherein, the database stores multiple vehicle models and shooting parameters corresponding to each vehicle model.

Further optionally, the vehicle environment information of the target vehicle includes the model of the target vehicle and the ambient light intensity where the target vehicle is located;

The processing unit 302 may be specifically configured to determine the target ambient light intensity interval where the ambient light intensity of the target vehicle is among the multiple ambient light intensity intervals according to preset multiple ambient light intensity intervals; Set the correspondence between the vehicle model, the ambient light intensity interval and the shooting parameters, find the shooting parameters corresponding to the target vehicle model and the target ambient light intensity interval from the database, and find The shooting parameters determined are the target shooting parameters for shooting the target vehicle;

Wherein, the database stores multiple vehicle models, the multiple ambient light intensity intervals, and shooting parameters corresponding to each vehicle model and each ambient light intensity interval.

Further optionally, the vehicle environment information of the target vehicle includes the vehicle model of the target vehicle and the distance between the target vehicle and the shooting device;

The processing unit 302 may be specifically configured to determine a target distance interval in which the distance between the target vehicle and the shooting device is among the multiple distance intervals according to preset multiple distance intervals; according to the preset vehicle Correspondence between the vehicle model, the distance interval and the shooting parameters, the shooting parameters corresponding to the vehicle model of the target vehicle and the target distance interval are found from the database, and the found shooting parameters are determined Target shooting parameters for shooting the target vehicle;

Among them, the database stores a plurality of vehicle models, the plurality of distance sections, and shooting parameters corresponding to each vehicle model and each distance section.

Further optionally, the vehicle environment information of the target vehicle includes the vehicle model and system time of the target vehicle;

The processing unit 302 may be specifically configured to determine the target time period to which the system time belongs in the multiple time periods according to preset multiple time periods; according to the preset vehicle model, time period and shooting parameters three The corresponding relationship between the persons, the shooting parameters corresponding to the vehicle model of the target vehicle and the target time period are found from the database, and the found shooting parameters are determined to be used for shooting the target vehicle Target shooting parameters;

Wherein, the database stores multiple vehicle models, the multiple time periods, and shooting parameters corresponding to each vehicle model and each time period.

Optionally, the processing unit 302 may be further configured to detect whether the brightness of the vin code image is within a preset brightness interval before performing edge detection on the vin code image; if the The brightness is not within the range of the brightness interval, and the top hat transformation is performed on the vin code image to obtain a tophat transformed vin code image;

The processing unit 302 may be specifically configured to perform edge detection on the tophat-transformed vin code image to obtain an edge image after edge detection.

Specifically, the image processing device may implement part or all of the steps in the vin code recognition method based on image processing in the embodiments shown in FIG. 1 to FIG. 2 through the above units. It should be understood that the embodiments of the present application are device embodiments corresponding to the method embodiments, and the description of the method embodiments is also applicable to the embodiments of the present application.

Please refer to FIG. 4, which is a schematic structural diagram of another image processing device according to an embodiment of the present application. The image processing device is used to perform the method described above. As shown in FIG. 4, the image processing device 400 in this embodiment may include: one or more processors 401 and a memory 402. The image processing apparatus may further include or be connected to a photographing device. Optionally, the image processing device may further include one or more user interfaces 403, and/or one or more communication interfaces 404. The processor 401, the user interface 403, the communication interface 404, and the memory 402 may be connected through the bus 405, or may be connected in other ways. The bus mode is used as an example in FIG. Wherein, the memory 402 is used to store a computer program, and the computer program includes program instructions, and the processor 401 is used to execute the program instructions stored in the memory 402.

The processor 401 can be used to call the program instructions to perform the following steps: obtain vehicle environment information of the target vehicle within the shooting range of the shooting device, the vehicle environment information including the model of the target vehicle and the location of the target vehicle Any one or more of the ambient light intensity, the distance between the target vehicle and the shooting device, and the system time; determine the target shooting parameters for shooting the target vehicle according to the vehicle environmental information, and use the The shooting device collects the vin code image of the target vehicle according to the target shooting parameters, the vin code image includes the vin code area of the target vehicle; performs edge detection on the vin code image to obtain the edge detection Edge image; perform a morphological close operation on the edge image to obtain a closed operation image; perform a morphological open operation on the closed operation image to obtain an open operation image; determine the vin code area in the open operation image A minimum circumscribed rectangle, and the area determined by the minimum circumscribed rectangle is determined as the vin code area of the target vehicle; identifying the vin code area of the target vehicle to identify the vin code of the target vehicle.

Optionally, when the processor 401 executes the determination of the target shooting parameters for shooting the target vehicle according to the vehicle environment information, it may specifically perform the following steps: according to the correspondence between the preset vehicle environment information and the shooting parameters , Determine the shooting parameters corresponding to the vehicle environment information of the target vehicle, and determine the determined shooting parameters as the target shooting parameters for shooting the target vehicle.

Optionally, the vehicle environment information of the target vehicle includes the vehicle model of the target vehicle;

The processor 401 executes the correspondence between the preset vehicle environment information and the shooting parameters to determine the shooting parameters corresponding to the vehicle environment information of the target vehicle, and determines the determined shooting parameters to be used for When shooting the target shooting parameters of the target vehicle, the following steps may be specifically executed: according to the preset correspondence between the vehicle model and the shooting parameters, a shooting corresponding to the same vehicle model as the target vehicle model is found from the database Parameters, and the found shooting parameters are determined as target shooting parameters for shooting the target vehicle;

Optionally, the vehicle environment information of the target vehicle includes the model of the target vehicle and the ambient light intensity where the target vehicle is located;

The processor 401 executes the correspondence between the preset vehicle environment information and the shooting parameters to determine the shooting parameters corresponding to the vehicle environment information of the target vehicle, and determines the determined shooting parameters to be used for When photographing the target shooting parameters of the target vehicle, the following steps may be specifically performed: according to a plurality of preset ambient light intensity intervals, determine where the ambient light intensity of the target vehicle is located in the multiple ambient light intensity intervals The target ambient light intensity interval; according to the correspondence between the preset vehicle model, the ambient light intensity interval and the shooting parameters, find out the model of the target vehicle and the target ambient light intensity interval from the database Corresponding shooting parameters, and determining the found shooting parameters as target shooting parameters for shooting the target vehicle;

Optionally, the vehicle environment information of the target vehicle includes the model of the target vehicle and the distance between the target vehicle and the shooting device;

The processor 401 executes the correspondence between the preset vehicle environment information and the shooting parameters to determine the shooting parameters corresponding to the vehicle environment information of the target vehicle, and determines the determined shooting parameters to be used for When photographing the target shooting parameters of the target vehicle, the following steps may be specifically performed: according to a preset plurality of distance intervals, determine the distance between the target vehicle and the shooting device in the plurality of distance intervals Target distance interval; according to the correspondence between the preset vehicle model, distance interval and shooting parameters, find the shooting parameters corresponding to the target vehicle model and the target distance interval from the database, and Determining the found shooting parameters as target shooting parameters for shooting the target vehicle;

Wherein, the database stores multiple vehicle models, the multiple distance intervals, and shooting parameters corresponding to each vehicle model and each distance interval.

Optionally, the vehicle environment information of the target vehicle includes the vehicle model and system time of the target vehicle;

The processor 401 executes the correspondence between the preset vehicle environment information and the shooting parameters to determine the shooting parameters corresponding to the vehicle environment information of the target vehicle, and determines the determined shooting parameters to be used for When shooting the target shooting parameters of the target vehicle, the following steps may be specifically executed: according to a preset plurality of time periods, determine a target time period to which the system time belongs in the plurality of time periods; according to a preset vehicle Correspondence between the vehicle model, the time period and the shooting parameters, the shooting parameters corresponding to the vehicle model of the target vehicle and the target time period are found from the database, and the found shooting parameters are determined Target shooting parameters for shooting the target vehicle;

Optionally, before performing the edge detection on the vin code image, the processor 401 may also perform the following steps: detect whether the brightness of the vin code image is within a preset brightness interval; if the vin The brightness of the code image is not within the range of the brightness interval, and the top hat transformation is performed on the vin code image to obtain a tophat transformed vin code image;

When performing edge detection on the vin code image to obtain an edge image after edge detection, the following steps may be specifically performed: performing edge detection on the vin code image after the tophat transformation to obtain an edge image after edge detection .

Wherein, the processor 401 may be a central processing unit (Central Processing Unit, CPU), and the processor may also be other general-purpose processors, digital signal processors (Digital Signal Processors, DSPs), application specific integrated circuits (Application Specific Integrated) Circuit (ASIC), ready-made programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The user interface 403 may include an input device and an output device. The input device may include a touch panel, a microphone, and the like, and the output device may include a display (LCD, etc.), a speaker, and the like.

The communication interface 404 may include a receiver and a transmitter for communicating with other devices.

The memory 402 may include a read-only memory and a random access memory, and provide instructions and data to the processor 401. A portion of the memory 402 may also include non-volatile random access memory. For example, the memory 402 may also store the correspondence between the function pointers and functions described above, and so on.

In a specific implementation, the processor 401 and the like described in the embodiments of the present application can execute the implementation described in the method embodiments shown in FIG. 1 to FIG. 2 above, and can also execute each of the methods described in FIG. 3 of the embodiment of the present application. The implementation of the unit is not repeated here.

An embodiment of the present application also provides a computer-readable storage medium that stores a computer program, and when the computer program is executed by a processor, the computer program can be implemented as described in the embodiments corresponding to FIG. 1 to FIG. 2 Part or all of the steps in the vin code recognition method based on image processing may also realize the functions of the image processing device of the embodiment shown in FIG. 3 or FIG. 4 of the present application, and details are not described here.

An embodiment of the present application further provides a computer program product containing instructions, which when run on a computer, causes the computer to perform some or all of the steps in the above method.

The computer-readable storage medium may be an internal storage unit of the image processing device described in any of the foregoing embodiments, such as a hard disk or a memory of the image processing device. The computer-readable storage medium may also be an external storage device of the image processing device, such as a plug-in hard disk equipped on the image processing device, a smart memory card (Smart, Media, Card, SMC), and secure digital (Secure Digital) , SD) card, flash card (Flash Card), etc.

In this application, the term "and/or" is merely an association relationship that describes an associated object, indicating that there may be three relationships, for example, A and/or B, which may mean: A exists alone, and A and B exist simultaneously There are three cases of B alone. In addition, the character “/” in this article generally indicates that the related objects before and after it are in an “or” relationship.

In various embodiments of the present application, the size of the sequence numbers of the above processes does not mean that the execution order is sequential, and the execution order of each process should be determined by its function and inherent logic, and should not correspond to the implementation process of the embodiments of the present application Constitute any limitation.

The above is only part of the implementation of this application, but the scope of protection of this application is not limited to this, any person skilled in the art can easily think of various equivalents within the technical scope disclosed in this application Modifications or replacements, these modifications or replacements should be covered within the scope of protection of this application.

Claims

A vin code recognition method based on image processing is characterized in that it includes:

Obtain vehicle environment information of the target vehicle within the shooting range of the shooting device, where the vehicle environment information includes the model of the target vehicle, the ambient light intensity of the target vehicle, and the distance between the target vehicle and the shooting device Any one or more of distance and system time;

Determining a target shooting parameter for shooting the target vehicle according to the vehicle environment information, using the shooting device and collecting a vin code image of the target vehicle according to the target shooting parameter, the vin code image including the target The vin code area of the vehicle;

Performing edge detection on the vin code image to obtain an edge image after edge detection;

Performing a morphological closed operation on the edge image to obtain a closed operation image;

Performing morphological opening operation on the closed operation image to obtain an open operation image;

Determine the minimum circumscribed rectangle of the vin code area in the open operation image, and determine the area determined by the minimum circumscribed rectangle as the vin code area of the target vehicle;

The vin code area of the target vehicle is identified to identify the vin code of the target vehicle.
The method according to claim 1, wherein the determining the target shooting parameters for shooting the target vehicle according to the vehicle environment information includes:

According to the preset correspondence between the vehicle environment information and the shooting parameters, the shooting parameters corresponding to the vehicle environment information of the target vehicle are determined, and the determined shooting parameters are determined as targets for shooting the target vehicle Shooting parameters.
The method according to claim 2, wherein the vehicle environment information of the target vehicle includes the vehicle model of the target vehicle;

The shooting parameters corresponding to the vehicle environment information of the target vehicle are determined according to the correspondence between the preset vehicle environment information and the shooting parameters, and the determined shooting parameters are determined to be used to shoot the target vehicle Target shooting parameters, including:

According to the preset correspondence between the vehicle model and the shooting parameters, the shooting parameters corresponding to the same vehicle model as the target vehicle model are found from the database, and the found shooting parameters are determined to be used for shooting Describe the target shooting parameters of the target vehicle;

Wherein, the database stores multiple vehicle models and shooting parameters corresponding to each vehicle model.
The method according to claim 2, wherein the vehicle environment information of the target vehicle includes the vehicle model of the target vehicle and the ambient light intensity where the target vehicle is located;

The shooting parameters corresponding to the vehicle environment information of the target vehicle are determined according to the correspondence between the preset vehicle environment information and the shooting parameters, and the determined shooting parameters are determined to be used to shoot the target vehicle Target shooting parameters, including:

Determine the target ambient light intensity interval where the ambient light intensity of the target vehicle is among the multiple ambient light intensity intervals according to preset multiple ambient light intensity intervals;

According to the correspondence between the preset vehicle model, the ambient light intensity interval and the shooting parameters, find the shooting parameters corresponding to the target vehicle model and the target ambient light intensity interval from the database, and Determining the found shooting parameters as target shooting parameters for shooting the target vehicle;

Wherein, the database stores multiple vehicle models, the multiple ambient light intensity intervals, and shooting parameters corresponding to each vehicle model and each ambient light intensity interval.
The method according to claim 2, wherein the vehicle environment information of the target vehicle includes the vehicle model of the target vehicle and the distance between the target vehicle and the shooting device;

The shooting parameters corresponding to the vehicle environment information of the target vehicle are determined according to the correspondence between the preset vehicle environment information and the shooting parameters, and the determined shooting parameters are determined to be used to shoot the target vehicle Target shooting parameters, including:

Determine a target distance interval where the distance between the target vehicle and the shooting device is among the multiple distance intervals according to preset multiple distance intervals;

According to the correspondence between the preset vehicle model, distance interval and shooting parameters, the shooting parameters corresponding to the target vehicle model and the target distance interval are searched from the database, and the searched out The shooting parameters are determined as target shooting parameters for shooting the target vehicle;

Among them, the database stores a plurality of vehicle models, the plurality of distance sections, and shooting parameters corresponding to each vehicle model and each distance section.
The method according to claim 2, wherein the vehicle environment information of the target vehicle includes the vehicle model and system time of the target vehicle;

Determining the shooting parameters corresponding to the vehicle environment information of the target vehicle according to the preset correspondence between the vehicle environment information and the shooting parameters, and determining the determined shooting parameters to be used for shooting the target vehicle Target shooting parameters, including:

Determine a target time period to which the system time belongs in the multiple time periods according to preset multiple time periods;

According to the correspondence between the preset vehicle model, time period and shooting parameters, the shooting parameters corresponding to the target vehicle model and the target time period are found from the database, and the found The shooting parameters are determined as target shooting parameters for shooting the target vehicle;

Wherein, the database stores multiple vehicle models, the multiple time periods, and shooting parameters corresponding to each vehicle model and each time period.
The method according to any one of claims 1 to 6, wherein before the edge detection is performed on the vin code image, the method further comprises:

Detecting whether the brightness of the vin code image is within a preset brightness interval range;

If the brightness of the vin code image is not within the range of the brightness interval, perform top-hat transformation on the vin code image to obtain a vin-code image after top hat transformation;

The performing edge detection on the vin code image to obtain an edge image after edge detection includes:

Perform edge detection on the vin code image after the top hat transformation to obtain an edge image after edge detection.
The method according to any one of claims 1 to 6, wherein the shooting device is mounted at a fixed position, and the shooting angle of the shooting device is adjustable, and the target shooting parameter includes the shooting angle.
An image processing device, characterized by comprising: an acquisition unit and a processing unit;

The acquiring unit is configured to acquire vehicle environment information of the target vehicle within the shooting range of the shooting device, the vehicle environment information includes the model of the target vehicle, the ambient light intensity of the target vehicle, the target vehicle and Any one or more of the distance between the shooting devices and the system time;

The processing unit is configured to determine a target shooting parameter for shooting the target vehicle according to the vehicle environment information;

The acquiring unit is further configured to acquire the vin code image of the target vehicle using the shooting device and according to the target shooting parameter, the vin code image including the vin code area of the target vehicle;

The processing unit is further used for performing edge detection on the vin code image to obtain an edge image after edge detection; performing a morphological closed operation on the edge image to obtain a closed operation image; and on the closed operation image Perform morphological opening operation to obtain an opening operation image; determine the minimum circumscribed rectangle of the vin code area in the opening operation image, and determine the area determined by the minimum circumscribed rectangle as the vin code area of the target vehicle; The vin code area of the target vehicle is identified to identify the vin code of the target vehicle.
The device according to claim 9, characterized in that

The processing unit is specifically configured to determine the shooting parameters corresponding to the vehicle environment information of the target vehicle according to the preset correspondence between the vehicle environment information and the shooting parameters, and determine the determined shooting parameters as the For shooting the target shooting parameters of the target vehicle.
The apparatus according to claim 10, wherein the vehicle environment information of the target vehicle includes the vehicle model of the target vehicle;

The processing unit is specifically configured to search for the shooting parameters corresponding to the vehicle model that is the same as the target vehicle model from the database according to the preset correspondence between the vehicle model and the shooting parameters, and store the found The shooting parameters are determined as target shooting parameters for shooting the target vehicle;

Wherein, the database stores multiple vehicle models and shooting parameters corresponding to each vehicle model.
The apparatus according to claim 10, wherein the vehicle environment information of the target vehicle includes a vehicle model of the target vehicle and an ambient light intensity where the target vehicle is located;

The processing unit is specifically configured to determine the target ambient light intensity interval in which the ambient light intensity of the target vehicle is located in the multiple ambient light intensity intervals according to preset multiple ambient light intensity intervals; Set the correspondence between the vehicle model, the ambient light intensity interval and the shooting parameters, find the shooting parameters corresponding to the target vehicle model and the target ambient light intensity interval from the database, and find The shooting parameters determined are the target shooting parameters for shooting the target vehicle;

Wherein, the database stores multiple vehicle models, the multiple ambient light intensity intervals, and shooting parameters corresponding to each vehicle model and each ambient light intensity interval.
The apparatus according to claim 10, wherein the vehicle environment information of the target vehicle includes a vehicle model of the target vehicle and a distance between the target vehicle and the shooting device;

The processing unit is specifically configured to determine a target distance interval where the distance between the target vehicle and the shooting device is among the multiple distance intervals according to preset multiple distance intervals; according to the preset vehicle Correspondence between the vehicle model, the distance interval and the shooting parameters, the shooting parameters corresponding to the vehicle model of the target vehicle and the target distance interval are found from the database, and the found shooting parameters are determined Target shooting parameters for shooting the target vehicle;

Among them, the database stores a plurality of vehicle models, the plurality of distance sections, and shooting parameters corresponding to each vehicle model and each distance section.
The apparatus according to claim 10, wherein the vehicle environment information of the target vehicle includes a vehicle model and a system time of the target vehicle;

The processing unit is specifically configured to determine the target time period to which the system time belongs in the multiple time periods according to preset multiple time periods; according to the preset vehicle model, time period and shooting parameters three The corresponding relationship between the persons, the shooting parameters corresponding to the vehicle model of the target vehicle and the target time period are found from the database, and the found shooting parameters are determined to be used for shooting the target vehicle Target shooting parameters;

Wherein, the database stores multiple vehicle models, the multiple time periods, and shooting parameters corresponding to each vehicle model and each time period.
The device according to any one of claims 9-14, characterized in that

The processing unit is further configured to detect whether the brightness of the vin code image is within a preset brightness interval before performing edge detection on the vin code image; if the brightness of the vin code image is not Performing a top-hat transformation on the vin code image within the brightness interval to obtain a vin-code image after the top hat transformation;

The processing unit is specifically configured to perform edge detection on the vin code image after the top hat transformation to obtain an edge image after edge detection.
The apparatus according to any one of claims 9 to 14, wherein the shooting device is mounted at a fixed position, and the shooting angle of the shooting device is adjustable, and the target shooting parameter includes the shooting angle.
An image processing apparatus, characterized by comprising a processor and a memory, the processor and the memory are connected to each other, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured For calling the program instructions, perform the following steps:

Obtain vehicle environment information of the target vehicle within the shooting range of the shooting device, where the vehicle environment information includes the model of the target vehicle, the ambient light intensity of the target vehicle, and the distance between the target vehicle and the shooting device Any one or more of distance and system time;

Determining a target shooting parameter for shooting the target vehicle according to the vehicle environment information, using the shooting device and collecting a vin code image of the target vehicle according to the target shooting parameter, the vin code image including the target The vin code area of the vehicle;

Performing edge detection on the vin code image to obtain an edge image after edge detection;

Performing a morphological closed operation on the edge image to obtain a closed operation image;

Performing morphological opening operation on the closed operation image to obtain an open operation image;

Determine the minimum circumscribed rectangle of the vin code area in the open operation image, and determine the area determined by the minimum circumscribed rectangle as the vin code area of the target vehicle;

The vin code area of the target vehicle is identified to identify the vin code of the target vehicle.
The apparatus according to claim 17, wherein the processor specifically executes the following steps when performing the determination of the target shooting parameters for shooting the target vehicle according to the vehicle environment information:

According to the preset correspondence between the vehicle environment information and the shooting parameters, the shooting parameters corresponding to the vehicle environment information of the target vehicle are determined, and the determined shooting parameters are determined as targets for shooting the target vehicle Shooting parameters.
The device according to claim 17 or 18, wherein the processor further performs the following steps before performing the edge detection on the vin code image:

Detecting whether the brightness of the vin code image is within a preset brightness interval;

If the brightness of the vin code image is not within the range of the brightness interval, perform top-hat transformation on the vin code image to obtain a vin-code image after top hat transformation;

The performing edge detection on the vin code image to obtain an edge image after edge detection includes:

Perform edge detection on the vin code image after the top hat transformation to obtain an edge image after edge detection.
A computer non-volatile readable storage medium, characterized in that the computer non-volatile readable storage medium stores a computer program, the computer program includes program instructions, when the program instructions are executed by a processor Causing the processor to perform the method according to any one of claims 1-8.