CN117781930A - Radian detection method, radian detection system, intelligent terminal and storage medium - Google Patents

Abstract

The application relates to a radian detection method, a radian detection system, an intelligent terminal and a storage medium, and relates to the field of eyeglass detection technology, wherein the radian detection method comprises the steps of obtaining lens detection trigger information of a lens to be detected; acquiring image acquisition specification information based on the lens detection trigger information; controlling a preset image acquisition device to acquire image information of the lens contour by acquiring the image information of the lens to be detected; analyzing according to the lens contour image information to determine contour height difference information; and analyzing according to the contour height difference information and preset contour chord length information to determine the radian information of the lens. The application has the effect of improving the measurement efficiency of the radian of the lens.

Description

Radian detection method, radian detection system, intelligent terminal and storage medium

Technical Field

The application relates to the field of glasses detection technology, in particular to a radian detection method, a radian detection system, an intelligent terminal and a storage medium.

Background

Glasses are articles that are composed of lenses and frames for improving vision, protecting eyes, or for decorative purposes.

In the related art, the radian of a spherical lens reflects the curvature of the lens, the curvature is usually represented by a radius of curvature, the radian of the lens is usually detected by a power meter, a technician performs zero correction on the power meter, and then presses a measuring foot of the power meter on the surface of the lens, so that the radian of the lens is measured.

For the related art in the foregoing, when detecting the radian of the spherical lens by using the power meter, in order to ensure the accuracy of radian measurement, a person needs to perform zero correction on the power meter before measurement, and when more lenses need to be measured, the person needs to continuously perform zero correction on the power meter, so that more measurement time is occupied, the measurement efficiency of the radian of the lens is low, and the improvement is still needed.

Disclosure of Invention

In order to improve the measurement efficiency of the radian of a lens, the application provides a radian detection method, a radian detection system, an intelligent terminal and a storage medium.

In a first aspect, the present application provides a radian detection method, which adopts the following technical scheme:

a method of arc detection, comprising:

acquiring lens detection trigger information of a lens to be detected;

acquiring image acquisition specification information based on the lens detection trigger information;

controlling a preset image acquisition device to acquire image information of the lens contour by acquiring the image information of the lens to be detected;

analyzing according to the lens contour image information to determine contour height difference information;

and analyzing according to the contour height difference information and preset contour chord length information to determine the radian information of the lens.

By adopting the technical scheme, when the lens detection trigger information is detected, namely when the radian of the lens is required to be detected, the image acquisition specification information of an image acquired by the image acquisition device is detected, so that the image acquisition device is controlled to acquire the image of the lens to be detected by the image acquisition specification information, the contour image information of the lens is obtained, the contour height difference information is determined according to the contour image information of the lens, the radian information of the lens is obtained by calculation according to the contour height difference information and the contour chord length information, zero correction is not needed to be carried out on the device before the radian of the lens is detected, and the measuring efficiency of the radian of the lens is further improved.

Optionally, the method for acquiring the lens contour image information includes:

acquiring the ambient brightness information of the surrounding environment of the image acquisition device;

judging whether the environment brightness information meets the requirement of the preset image on the brightness information;

if not, determining that the image directly collects information;

if yes, calculating a difference value between the environment brightness information and the image influence brightness information, and defining the calculated difference value as influence brightness difference value information;

analyzing according to the information affecting the brightness difference value to determine shading information or light supplementing information;

Controlling the image acquisition device to rotate based on the shading information, and acquiring brightness qualified triggering information;

based on the light supplementing information, controlling a preset light supplementing device to supplement light to the lens to be detected according to preset brightness increasing speed information, and acquiring brightness qualified triggering information;

determining direct image acquisition information according to the brightness qualified trigger information;

and controlling the image acquisition device to acquire the image according to the image direct acquisition information so as to acquire the lens contour image information.

By adopting the technical scheme, when the contour image information of the lens is acquired, the ambient brightness information of the surrounding environment of the image acquisition device is detected, when the ambient brightness information influences the image acquisition, the image acquisition device is controlled to rotate, and when the brightness is qualified, the image acquisition is carried out; when the ambient brightness information influences image acquisition in an overdue manner, the light supplementing device is controlled to supplement light to the lens to be detected, and when the brightness is qualified, the image acquisition is carried out, so that the influence of the ambient factors on the image acquisition is reduced, and the convenience of acquiring the contour image information of the lens is improved.

Optionally, the method for controlling the image acquisition device to acquire the lens contour image information according to the image direct acquisition information comprises the following steps:

Controlling an image acquisition device to shoot a lens to be detected according to the image direct acquisition information and the image acquisition specification information so as to acquire basic lens image information;

acquiring vertical lens contour chord length point information and inclined lens contour chord length point information;

analyzing according to the lens contour chord point information, the inclined lens contour chord point information and the basic lens image information to determine magnified lens image information;

processing the amplified lens image information according to preset contrast enhancement method information to generate high-contrast lens image information;

and processing the high-contrast lens image information according to the preset picture noise reduction method information to generate lens contour image information.

By adopting the technical scheme, the image acquisition device is controlled to shoot the lens to be detected according to the image acquisition specification information, so that basic lens image information is obtained, the basic lens image information is clipped according to the lens contour chord point information and the inclined lens contour chord point information to generate amplified lens image information, the number of system processing images is reduced, the processing efficiency of the system is improved, the high-contrast lens image information is processed according to the image noise reduction method information to generate the lens contour image information, dust and gaps on the lens are eliminated, and the quality of the lens contour image information is improved.

Optionally, the method for processing the magnified lens image information to generate high contrast lens image information according to the contrast enhancement method information includes:

analyzing according to the amplified lens image information to determine lens contour feature information;

analyzing according to a preset coordinate system and the contour characteristic information of the lens to determine contour coordinate information;

acquiring picture coordinate information;

judging whether the picture coordinate information meets the requirement of contour coordinate information or not;

if the image information is not matched with the preset first contrast color information, the image coordinate information is processed according to the preset first contrast color information so as to generate background image information;

if yes, processing the picture coordinate information according to preset second contrast color information to generate lens image information;

and analyzing according to the lens image information, the background image information and the picture coordinate information to determine the high-contrast lens image information.

By adopting the technical scheme, the image recognition is carried out on the amplified lens image information to obtain the lens contour feature information, so that the contour coordinate information and the picture coordinate information of the lens contour feature information in a coordinate system are obtained, when the picture coordinate information meets the requirement of the contour coordinate information, the picture coordinate information is processed by the second contrast color information to generate the lens image information, and when the picture coordinate information does not meet the requirement of the contour coordinate information, the picture coordinate information is processed by the first contrast color information to generate the background image information, so that the lens image information, the background image information and the picture coordinate information are used to generate the contrast lens image information, the lens features in the image are more prominent in the image, and the convenience of identifying the lens contour is improved.

Optionally, the method for processing the high contrast lens image information according to the image noise reduction method information to generate lens contour image information includes:

acquiring outline abnormal characteristic information of high-contrast lens image information;

acquiring outline abnormal range information of outline abnormal characteristic information;

judging whether the outline abnormal range information meets the requirement of preset reference abnormal range information or not;

if the detected lens is not matched with the preset image contour image information, controlling a preset lens rotating device to rotate the lens to be detected according to the preset rotating angle information so as to obtain the image contour image information of the lens;

if yes, acquiring abnormal feature coordinate information of the outline abnormal feature information;

analyzing according to the contour coordinate information and the abnormal feature coordinate information to determine abnormal feature adjacent coordinate information;

analyzing according to the abnormal feature adjacent coordinate information and the abnormal feature coordinate information to determine corrected abnormal feature coordinate information;

and analyzing according to the abnormal feature coordinate information, the corrected abnormal feature coordinate information and the high-contrast lens image information to determine lens contour image information.

By adopting the technical scheme, the outline abnormal characteristic information in the high-contrast lens image information is identified, the outline abnormal range information is detected, and when the outline abnormal range information exceeds the reference abnormal range information, the lens rotating device is controlled to rotate the lens to be detected by the rotating angle information, so that the image acquisition is carried out on the perfect side of the lens to be detected; when the contour abnormal range information does not exceed the reference abnormal range information, detecting abnormal feature coordinate information, determining abnormal feature adjacent coordinate information adjacent to the abnormal feature coordinate information, correcting the abnormal feature coordinate information according to the abnormal feature adjacent coordinate information to obtain corrected abnormal feature coordinate information, and obtaining lens contour image information according to the abnormal feature coordinate information, the corrected abnormal feature coordinate information and the high-contrast lens image, so that defect parts and impurity parts in the lens contour are eliminated, and the quality of the lens contour image information is improved.

Optionally, the method for analyzing the lens contour image information to determine the contour height difference information includes:

establishing vertical chord information in the lens contour image information according to the vertical lens contour chord point information, and establishing horizontal chord information in the lens contour image information according to the inclined lens contour chord point information;

analyzing according to the vertical chord information and the horizontal chord information to determine horizontal intersecting chord information and vertical intersecting chord information;

acquiring the number information of horizontal pixel points of the horizontal cross chord information;

analyzing according to the contour chord length information and the horizontal pixel point quantity information to determine unit pixel point length information;

acquiring the number information of vertical pixel points of the vertical cross chord information;

and analyzing according to the vertical pixel number information and the unit pixel length information to determine contour height difference information.

By adopting the technical scheme, the vertical chord information and the horizontal chord information are respectively established in the lens contour image information, the horizontal intersecting chord information and the vertical intersecting chord information between the vertical chord information and the horizontal chord are determined, the horizontal pixel point number information of the horizontal intersecting chord information is detected, the unit pixel point length information is calculated according to the contour chord length information and the horizontal pixel point number information, and therefore the vertical pixel point number information of the vertical intersecting chord information is detected, the contour height difference information is calculated according to the vertical pixel point number information and the unit pixel point length information, and the convenience of determining the contour height difference information is improved.

Optionally, the method for analyzing the profile height difference information and the profile chord length information to determine the lens radian information includes:

analyzing according to the contour height difference information and the contour chord length information to determine basic lens radian information;

analyzing according to the radian information and the contour chord length information of the basic lens to determine contour angle information;

controlling a preset lens rotating device to rotate the lens to be detected along preset rotating direction information by using contour angle information, and acquiring angle rotation completion triggering information;

acquiring radian information and rotated angle information of a rotating base lens based on the angle rotation completion trigger information;

judging whether the rotated angle information meets the requirement of preset circumference angle information or not;

if the information is not met, continuing to control the lens rotating device to rotate the lens to be detected along the rotating direction information by using the contour angle information, and acquiring radian information of the basic lens to be detected;

and if so, analyzing according to the basic lens radian information and the rotating basic lens radian information to determine the lens radian information.

By adopting the technical scheme, the basic lens radian information is obtained by calculation according to the contour height difference information and the contour chord length information, and the contour angle information is obtained by calculation according to the basic lens radian information and the contour chord length information, so that the lens rotating device is controlled to rotate the lens to be detected along the rotating direction information by the contour angle information, the rotating basic lens radian information is obtained, after the rotating angle information meets the requirement of the peripheral angle information, the average value of the basic lens radian information and the rotating basic lens radian information is calculated, and the lens radian information is obtained, and further the accuracy of the lens radian information is improved.

In a second aspect, the present application provides an arc detection system, which adopts the following technical scheme:

an arc detection system, comprising:

the acquisition module is used for acquiring the lens detection trigger information, the image acquisition specification information and the lens contour image information;

a memory for storing a program of an arc detection method according to any one of the above;

a processor, a program in memory capable of being loaded by the processor for execution and implementing a method of arc detection as claimed in any one of the preceding claims.

By adopting the technical scheme, a series of data related to radian detection is acquired through the acquisition module, when the radian detection is needed, the processor is enabled to load and execute a program of a radian detection method stored in the memory, so that the measurement of the radian of the lens is completed, the step of continuously correcting zero position of the power meter by personnel is reduced, and the measurement efficiency of the radian of the lens is further improved.

In a third aspect, the present application provides an intelligent terminal, which adopts the following technical scheme:

an intelligent terminal comprising a memory and a processor, the memory having stored thereon a computer program capable of being loaded by the processor and performing a method of arc detection as claimed in any one of the preceding claims.

By adopting the technical scheme, the intelligent terminal is operated by personnel, so that the processor loads and executes the computer program of the radian detection method stored in the memory, thereby completing the measurement of the radian of the lens, reducing the steps of continuously correcting the zero position of the lens meter by personnel, and further improving the measurement efficiency of the radian of the lens.

In a fourth aspect, the present application provides a computer storage medium, capable of storing a corresponding program, having a feature of being convenient for realizing improvement of measurement efficiency of a lens radian, and adopting the following technical scheme:

a computer readable storage medium storing a computer program capable of being loaded by a processor and performing any one of the arc detection methods described above.

By adopting the technical scheme, the computer program of the radian detection method is stored in the computer readable storage medium, when the radian of the lens is required to be measured, the processor is enabled to load and execute the computer program stored in the memory, so that the measurement of the radian of the lens is completed, the step of continuously correcting zero position of the lens meter by personnel is reduced, and the measurement efficiency of the radian of the lens is further improved.

In summary, the present application includes at least one of the following beneficial technical effects:

1. When the lens detection trigger information is detected, namely the lens radian is required to be detected, the image acquisition specification information of an image acquired by the image acquisition device is detected, so that the image acquisition device is controlled to acquire the image of the lens to be detected by the image acquisition specification information, lens contour image information is obtained, contour height difference information is determined according to the lens contour image information, and lens radian information is obtained by calculation according to the contour height difference information and contour chord length information, zero correction is not required to be performed on the device before the radian of the lens is detected, and further the measurement efficiency of the lens radian is improved;

2. detecting the ambient brightness information of the surrounding environment of the image acquisition device when the lens contour image information is acquired, controlling the image acquisition device to rotate when the ambient brightness information is too bright to influence the image acquisition, and acquiring the image when the brightness is qualified; when the ambient brightness information influences image acquisition in an overdue manner, controlling a light supplementing device to supplement light to a lens to be detected, and when the brightness is qualified, carrying out image acquisition, thereby reducing the influence of the ambient factors on the image acquisition and further improving the convenience of acquiring the contour image information of the lens;

3. The image acquisition device is controlled to shoot the lens to be detected according to the image acquisition specification information, so that basic lens image information is obtained, the basic lens image information is clipped according to the lens contour chord point information and the inclined lens contour chord point information to generate amplified lens image information, the number of processed images of the system is reduced, the processing efficiency of the system is improved, the high-contrast lens image information is processed according to the image noise reduction method information to generate lens contour image information, dust and gaps on the lens are eliminated, and the quality of the lens contour image information is improved.

Drawings

Fig. 1 is a flowchart of a radian detection method in an embodiment of the present application.

Fig. 2 is a flow chart of a method of acquiring lens profile image information in an embodiment of the present application.

Fig. 3 is a flowchart of a method for controlling an image acquisition device to acquire lens contour image information according to image direct acquisition information in an embodiment of the present application.

FIG. 4 is a flow chart of a method of processing magnified lens image information to generate high contrast lens image information according to contrast enhancement method information in an embodiment of the present application.

Fig. 5 is a flowchart of a method of processing high contrast lens image information to generate lens contour image information according to picture noise reduction method information in an embodiment of the present application.

Fig. 6 is a flow chart of a method of analyzing to determine contour height difference information from lens contour image information in an embodiment of the present application.

FIG. 7 is a flow chart of a method of analyzing to determine lens curve information based on profile height difference information and profile chord length information in an embodiment of the present application.

FIG. 8 is a schematic diagram of determining lens arc information in an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to fig. 1 to 8 and the embodiments. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.

The embodiment of the application discloses a method for calculating and obtaining a lens radian by using an image processing method, and discloses an image acquisition device and a processing system, wherein the image acquisition device and the processing system are connected through a wire, so that data interaction is realized, the processing system controls the image acquisition device, when a lens to be detected is placed on the image acquisition device, namely when detecting lens detection trigger information, the image acquisition device is controlled to acquire the image of the lens to be detected, so that lens contour image information is obtained, contour height difference information is obtained after image identification is carried out on the lens contour image information, and therefore lens radian information is obtained by calculating according to the contour height difference information and contour chord length information, zero correction steps of a lens meter are reduced, and further the measuring efficiency of radian is improved.

Referring to fig. 1, an embodiment of the present application discloses a radian detection method, including the following steps:

step S100: and acquiring lens detection trigger information of the lens to be detected.

The lens to be detected is a lens for measuring radian, and in the application, a spherical lens is taken as an example. The lens detection trigger information refers to trigger data when a lens to be detected is placed on the image acquisition device to wait for measurement, and in one embodiment, when a person places the lens to be detected on an acquisition seat on the image acquisition device, the lens detection trigger information is detected and output by a force-sensitive sensor arranged on the acquisition seat; in another embodiment, after a person places a lens to be detected on a collection seat on an image collection device, lens detection trigger information is input in a processing system.

Step S101: and acquiring image acquisition specification information based on the lens detection trigger information.

The image acquisition specification information refers to resolution of the image acquisition device when acquiring an image, and includes 1280×720, 1920×1080, etc., and specific specifications are set by a person skilled in the art according to actual situations, and are not described herein.

When the lens detection trigger information is detected, namely the lens to be detected waits for measurement, a person selects the image acquisition specification information of the image acquisition device in the processing system, and data support is provided for image acquisition of the lens to be detected by the subsequent image acquisition device.

Step S102: and controlling a preset image acquisition device to acquire the image information of the lens contour by performing image acquisition on the lens to be detected according to the image acquisition specification information.

The image acquisition device is used for acquiring images of the lens to be detected, and a camera can be adopted. The lens contour image information refers to an image obtained by acquiring and processing the lens contour characteristics of the lens to be detected by the image acquisition device, and after the image acquisition specification information is determined, the image acquisition device is controlled to shoot and process the lens to be detected, and the specific acquisition step refers to the step of fig. 2.

Step S103: analysis is performed based on the lens contour image information to determine contour height difference information.

The profile height difference information refers to a height difference between two chord length points on the lens profile, that is, a thickness difference of the lens, and is obtained by performing image recognition on the lens profile image information by the processing system according to fig. 8, and the specific recognition method refers to the step of fig. 6.

Step S104: and analyzing according to the contour height difference information and preset contour chord length information to determine the radian information of the lens.

The profile chord length information refers to a horizontal distance value between two chord length points on the lens profile, and the horizontal distance value can be set by a person skilled in the art according to actual situations, and is not described herein. The lens radian information refers to a radius value corresponding to the lens contour, and is calculated by the processing system according to the contour height difference information and the contour chord length information according to fig. 8, and the specific method refers to the steps of fig. 7.

Referring to fig. 2, a method of acquiring lens contour image information includes the steps of:

step S200: and acquiring the ambient brightness information of the surrounding environment of the image acquisition device.

The environment brightness information is a brightness value perpendicular to the acquisition direction of the camera on an acquisition seat of the image acquisition device, and is detected by a photosensitive sensor arranged on the acquisition seat.

Step S201: and judging whether the environment brightness information meets the preset requirement of the image on the brightness information.

The image influencing brightness information is a brightness value influencing the acquisition of the lens image by the image acquisition device, and comprises a highest brightness value and a lowest brightness value, and the specific value is set by a person skilled in the art according to actual conditions, and is not described herein. The requirement of the image influence brightness information means exceeding the brightness value corresponding to the image influence brightness information.

And judging whether the brightness value corresponding to the environment brightness information exceeds the brightness value corresponding to the image influence brightness information, so as to determine whether the brightness of the surrounding environment of the image acquisition device influences the normal image acquisition of the lens to be detected by the image acquisition device.

Step S2021: if not, determining that the image directly collects information.

If the brightness value corresponding to the environment brightness information does not exceed the brightness value corresponding to the image influence brightness information, namely, if the brightness value corresponding to the environment brightness information does not exceed the highest brightness value and the lowest brightness value, the brightness of the surrounding environment of the image acquisition device is determined not to influence the normal image acquisition of the lens to be detected by the image acquisition device, so that the direct image acquisition information is determined, and data support is provided for subsequent image acquisition.

The direct image acquisition information refers to a command for controlling the image acquisition device to acquire images of lenses to be detected, and the processing system outputs the direct image acquisition information according to a comparison result that the brightness value corresponding to the environment brightness information does not exceed the brightness value corresponding to the image influence brightness information.

Step S2022: if so, calculating a difference between the ambient brightness information and the image influence brightness information, and defining the calculated difference as influence brightness difference information.

If the brightness value corresponding to the environment brightness information exceeds the brightness value corresponding to the image influence brightness information, namely, if the brightness value corresponding to the environment brightness information exceeds the highest brightness value and the lowest brightness value, the brightness of the surrounding environment of the image acquisition device is determined to influence the normal image acquisition of the lens to be detected by the image acquisition device, so that the difference between the environment brightness information and the image influence brightness information is used for obtaining influence brightness difference information, and data support is provided for the subsequent auxiliary image acquisition device to acquire images.

The influence brightness difference information refers to the difference between the ambient brightness information and the image influence brightness information, and the ambient brightness information is respectively different from the maximum brightness and the minimum brightness corresponding to the image influence brightness information, namely, two influence brightness difference information exists.

Step S203: and analyzing according to the information of the brightness difference to determine shading information or light supplementing information.

The shading information is trigger data of shading when the ambient brightness is high, the light supplementing information is trigger data of supplementing light when the ambient brightness is low, and the information is obtained by analyzing the difference value information of the brightness influence by the processing system, for example: when the influence brightness difference information is negative, the environment brightness is smaller than the minimum value of the image influence brightness information, so that the environment brightness is lower, and light supplementing is needed, so that the light supplementing information is determined; when the influence brightness difference information is positive, it is indicated that the ambient brightness is greater than the maximum value of the image influence brightness information, so that the ambient brightness is higher, and the brightness needs to be reduced, so that the shading information is determined.

Step S2031: based on the shading information, the image acquisition device is controlled to rotate, and the brightness qualified triggering information is acquired.

After the shading information is determined, the image acquisition device is controlled to rotate, so that the image acquisition device adjusts the acquisition seat to a position opposite to the light, and the brightness qualified triggering information is detected to continuously monitor whether the brightness is qualified or not.

The brightness qualified trigger information refers to that a brightness value corresponding to the environment brightness information is located between the maximum value and the minimum value of the image influence brightness information, and the environment brightness information and the image influence brightness information are compared by the processing system and then output.

Step S2032: based on the light supplementing information, controlling a preset light supplementing device to supplement light to the lens to be detected according to preset brightness increasing speed information, and acquiring brightness qualified triggering information.

After the light supplementing information is determined, the light supplementing device is controlled to supplement light to the lens to be detected according to the brightness increasing speed information, so that the ambient brightness around the lens to be detected is improved, and the brightness qualified triggering information is detected to continuously monitor whether the brightness is qualified or not.

The light supplementing device is a device for supplementing light to the lens to be detected, and an LED lamp can be adopted. The brightness increase speed information refers to an increase value of brightness in unit time, and specific values are set by a person skilled in the art according to actual situations, and are not described herein.

The brightness-eligible trigger information in this step is the same as the brightness-eligible trigger information in step S2031.

Step S204: and determining direct image acquisition information according to the brightness qualified trigger information.

The image direct collection information in this step is the same as the image direct collection information in step S2021, and the image direct collection information is output after the processing system detects the brightness qualified trigger information.

Step S205: and controlling the image acquisition device to acquire the image according to the image direct acquisition information so as to acquire the lens contour image information.

When it is detected that the image directly collects information, that is, the brightness of the surrounding environment meets the collection requirement of the image collection device, the image collection device is controlled to collect the image of the lens to be detected, so that the lens contour image information is obtained, and the specific collection method refers to the step of fig. 3.

The lens contour image information in this step is the same as the lens contour image information in step S102.

Referring to fig. 3, a method for controlling an image acquisition device to acquire lens contour image information according to image direct acquisition information includes the following steps:

step S300: and controlling the image acquisition device to shoot the lens to be detected according to the image direct acquisition information and the image acquisition specification information so as to acquire the basic lens image information.

After the direct image acquisition information is detected, the image acquisition device is controlled to shoot the lens to be detected according to the resolution corresponding to the image acquisition specification information, so that basic lens image information is obtained, and data support is provided for the follow-up determination of the lens contour image information.

The basic lens image information refers to an unprocessed image which is shot by the image acquisition device according to the resolution corresponding to the image acquisition specification information.

Step S301: and acquiring vertical lens contour chord length point information and inclined lens contour chord length point information.

The vertical lens contour chord length point information refers to a contour position located at a vertical chord endpoint on the lens contour, the inclined lens contour chord length starting point information refers to a contour position located at an inclined chord endpoint on the lens contour, and the distance between the vertical lens contour chord length point information and the inclined lens contour chord length point information is the contour chord length information, which is obtained by setting on a basic lens image by a person skilled in the art with reference to fig. 8.

Step S302: and analyzing the lens contour chord point information, the inclined lens contour chord point information and the basic lens image information to determine the magnifying lens image information.

The enlarged lens image information is an image obtained by clipping basic lens image information along a vertical chord corresponding to the lens contour chord length point information and an inclined chord corresponding to the inclined lens contour chord length point information, and is obtained by clipping the basic lens image information according to the lens contour chord length point information and the chord corresponding to the inclined lens contour chord length point information by a processing system, and the redundant part is sheared and eliminated, so that the subsequent image processing is facilitated.

Step S303: and processing the amplified lens image information according to preset contrast improvement method information to generate high-contrast lens image information.

The contrast enhancement method information is a method for enhancing the contrast of the lens features and the background features in the magnified lens image information, and the magnified lens image information is processed according to the contrast enhancement method information to obtain the high-contrast lens image information, and the specific processing method refers to the step of fig. 4.

The high-contrast lens image information refers to the amplified lens image information with black lens characteristics and white background characteristics, and the amplified lens image information is processed by a processing system according to the contrast improvement method information.

Step S304: and processing the high-contrast lens image information according to the preset picture noise reduction method information to generate lens contour image information.

The image noise reduction method information is a method for removing impurity features affecting lens contour features in the high-contrast lens image information, and the high-contrast lens image information is processed according to the image noise reduction method information, so as to obtain lens contour image information, and the specific processing method refers to the step of fig. 5.

The lens contour image information in this step is the same as that in step S205.

Referring to fig. 4, a method of processing magnified lens image information to generate high contrast lens image information according to contrast enhancement method information, comprising the steps of:

step S400: analysis is performed based on the magnified lens image information to determine lens profile characteristic information.

The lens contour feature information refers to lens contour features in the amplified lens image information, and is obtained by carrying out contour feature recognition on an image corresponding to the amplified lens image information by a processing system, so that data support is provided for subsequent determination of high-contrast lens image information.

Step S401: and analyzing according to a preset coordinate system and the contour characteristic information of the lens to determine contour coordinate information.

The coordinate system is a rectangular coordinate system established by taking the lower left corner of the image information of the magnifying lens as an origin. The contour coordinate information refers to specific coordinates of the contour features of the lens in a coordinate system, the coordinate system is set in the enlarged lens image by the processing system, and the contour features of the lens are obtained after corresponding to the coordinates of the coordinate system.

Step S402: and acquiring the coordinate information of the picture.

The image coordinate information refers to specific coordinates of an image corresponding to the image of the magnifying lens image in a coordinate system, and the processing system sets the coordinate system in the magnified lens image and corresponds the image to the coordinates of the coordinate system.

Step S403: and judging whether the picture coordinate information meets the requirement of the contour coordinate information.

The requirement of the profile coordinate information means that when the abscissas are the same, the abscissas need to be smaller than the abscissas of the profile coordinates. And determining whether the feature corresponding to the picture coordinate information is a background feature or a lens feature by judging whether the abscissa corresponding to the picture coordinate information is equal to the abscissa corresponding to the contour coordinate information and whether the ordinate corresponding to the picture coordinate information is smaller than the ordinate corresponding to the contour coordinate information.

Step S4031: if the image information is not matched with the preset first contrast color information, the image coordinate information is processed according to the preset first contrast color information so as to generate background image information.

If the abscissa corresponding to the picture coordinate information is equal to the abscissa corresponding to the contour coordinate information, but the ordinate corresponding to the picture coordinate information is not smaller than the ordinate corresponding to the contour coordinate information, the coordinate corresponding to the picture coordinate information is indicated to be a background feature, and therefore the picture coordinate information is processed according to the first contrast color information to generate background image information.

The background image information is a background image generated after the first contrast color information is set at the coordinate corresponding to the picture coordinate information, and the processing system sets the pixel at the coordinate corresponding to the picture coordinate information to be an RGB value corresponding to the first contrast color information. The first contrast color information refers to RGB values corresponding to white.

Step S4032: if yes, processing the picture coordinate information according to the preset second contrast color information to generate lens image information.

If the abscissa corresponding to the picture coordinate information is equal to the abscissa corresponding to the contour coordinate information, and the ordinate corresponding to the picture coordinate information is smaller than the ordinate corresponding to the contour coordinate information, the coordinate corresponding to the picture coordinate information is indicated to be the lens feature, so that the picture coordinate information is processed according to the second contrast color information to generate the lens image information.

The lens image information is a lens image generated after setting second contrast color information at a coordinate corresponding to the picture coordinate information, and is generated after setting a pixel point at the coordinate corresponding to the picture coordinate information to an RGB value corresponding to the second contrast color information by the processing system. The second contrast color information refers to RGB values corresponding to black.

Step S404: and analyzing according to the lens image information, the background image information and the picture coordinate information to determine the high-contrast lens image information.

The high contrast lens image information in this step is the same as the high contrast lens image information in step S303, and is generated by the processing system setting the lens image information at the corresponding picture coordinate information and setting the background image information at the corresponding picture coordinate information.

Referring to fig. 5, a method of processing high contrast lens image information to generate lens contour image information according to picture noise reduction method information, comprising the steps of:

step S500: contour abnormality characteristic information of high-contrast lens image information is obtained.

The contour abnormal characteristic information refers to the convex and concave parts of the contour characteristic of the lens, and the processing system calls the high-contrast lens image information to perform image recognition to obtain the contour abnormal characteristic information.

Step S501: and acquiring contour abnormal range information of the contour abnormal characteristic information.

The contour abnormal range information refers to an area value occupied by the contour abnormal features, and is obtained by calculation of a processing system according to coordinates of a coordinate system occupied by the contour abnormal features.

Step S502: and judging whether the outline abnormal range information meets the requirement of preset reference abnormal range information.

The reference abnormal range information refers to a maximum area value that allows abnormal features to exist in a section of lens outline, and specific values are set by a person skilled in the art according to actual situations, and are not described herein. The requirement of the reference abnormality range information means not more than an area value corresponding to the reference abnormality range information.

And judging whether the area value corresponding to the outline abnormal range information is not larger than the area value corresponding to the reference abnormal range information, so that whether the defects and impurities of the lens outline are too few or not is determined, and the measurement of the radian of the lens is not influenced.

Step S5021: if the detected lens is not matched with the preset image contour image information, the preset lens rotating device is controlled to rotate the lens to be detected according to the preset rotating angle information so as to obtain the image contour image information of the lens.

If the area value corresponding to the outline abnormal range information is larger than the area value corresponding to the reference abnormal range information, the defect and excessive impurities of the lens outline can influence the measurement of the radian of the lens, so that the lens rotating device is controlled to rotate the lens to be detected by an angle corresponding to the rotating angle information, and the other outline of the lens to be detected is shot to obtain the lens outline image information.

The lens rotating device is a device which is arranged on the image acquisition device and used for rotating the lens to be detected along the circumferential direction of the lens, and the lens rotating device can be provided with a sucker at the output end of the motor to control the lens to rotate after the lens is sucked. The rotation angle information is an angle value for rotating the lens to be detected to shoot the rest outlines of the lens, and specific numerical values are set by a person skilled in the art according to actual conditions and are not described in detail herein.

Step S5022: if yes, acquiring abnormal feature coordinate information of the outline abnormal feature information.

If the area value corresponding to the outline abnormal range information is not larger than the area value corresponding to the reference abnormal range information, the defect and impurity of the lens outline are fewer, and the measurement of the radian of the lens cannot be influenced, so that abnormal feature coordinate information is detected, and data support is provided for eliminating abnormal features subsequently.

The abnormal feature coordinate information refers to coordinates of the outline abnormal feature information in the high-contrast lens image information, and the outline abnormal feature is confirmed after being compared with the coordinates of a coordinate system by the processing system.

Step S503: and analyzing according to the contour coordinate information and the abnormal feature coordinate information to determine the abnormal feature adjacent coordinate information.

The abnormal feature adjacent coordinate information refers to coordinates adjacent to the abnormal feature coordinate information in the contour coordinate information, and is obtained by the processing system after analysis according to the contour coordinate information and the abnormal feature coordinate information, for example: if the abnormal feature coordinate information is (3, 3), the abscissa corresponding to the abnormal feature adjacent coordinate information should be adjacent to 3, and is respectively 1, 2, 4, 5, and the ordinate thereof is set according to the actual situation, for example, (1, 0.5), (2, 1), (4, 2), and (5,2.5).

Step S504: and analyzing according to the abnormal feature adjacent coordinate information and the abnormal feature coordinate information to determine corrected abnormal feature coordinate information.

The correction of the abnormal feature coordinate information refers to the correction of the abnormal feature coordinate information according to the rule of the abnormal feature adjacent coordinate information, and the abnormal feature coordinate information is obtained by the processing system after the analysis according to the abnormal feature adjacent coordinate information, for example: the adjacent coordinate information of the abnormal feature is (1, 0.5), (2, 1), (4, 2), (5,2.5), the rule is that the difference between the ordinate is 0,5, and the coordinate information of the abnormal feature is (3, 3), the ordinate is larger, and the ordinate is 1 when the abscissa is 2, so that the ordinate is 1.5 when the abscissa is 3, and thus the corrected abnormal feature coordinate information is (3,1.5).

Step S505: and analyzing according to the abnormal feature coordinate information, the corrected abnormal feature coordinate information and the high-contrast lens image information to determine lens contour image information.

The lens contour image information in the step is the same as the lens contour image information in the step S304, and the processing system moves the pixel point corresponding to the abnormal feature coordinate information to the coordinate corresponding to the corrected abnormal feature coordinate information in the image corresponding to the high-contrast lens image information, so that the defect part or the bulge part on the lens contour is adjusted to the original track of the contour, and the influence on radian measurement is reduced.

Referring to fig. 6, a method of analyzing lens contour image information to determine contour height difference information includes the steps of:

step S600: and establishing vertical chord information in the lens contour image information according to the vertical lens contour chord point information, and establishing horizontal chord information in the lens contour image information according to the inclined lens contour chord point information.

The vertical chord information is a vertical chord established in the lens contour image information along the ordinate direction of the coordinate system by taking the vertical lens contour chord point information as a starting point, and the horizontal chord information is a horizontal chord established in the lens contour image information along the abscissa direction of the coordinate system by taking the inclined lens contour chord point information as a starting point, and referring to fig. 8, the vertical chord information is obtained in the lens contour image information through image processing by the processing system.

Step S601: and analyzing according to the vertical chord information and the horizontal chord information to determine horizontal intersecting chord information and vertical intersecting chord information.

The horizontal intersecting chord information refers to a horizontal chord of which the intersecting part of the horizontal chord information and the vertical chord information is close to the inclined lens contour chord length point information, the vertical intersecting chord information refers to a vertical chord of which the intersecting part of the vertical chord information and the horizontal chord information is close to the vertical lens contour chord length point information, and the horizontal intersecting chord information and the vertical chord information are obtained by characteristic recognition in lens contour image information for establishing the vertical chord information and the horizontal chord information by a processing system according to fig. 8.

Step S602: and acquiring the number information of the horizontal pixel points of the horizontal cross chord information.

The horizontal pixel point quantity information refers to the pixel point quantity corresponding to the horizontal cross chord information, and the horizontal cross chord information is obtained by the processing system through recognition after the horizontal cross chord part is singly intercepted.

Step S603: and analyzing according to the contour chord length information and the horizontal pixel point quantity information to determine unit pixel point length information.

The unit pixel point length information refers to a length value of a unit pixel point, and the quotient between the contour chord length information and the horizontal pixel point number information is calculated by a processing system.

Step S604: and acquiring the number information of the vertical pixel points of the vertical cross chord information.

The vertical pixel point quantity information refers to the pixel point quantity corresponding to the vertical intersecting chord information, and the vertical intersecting chord part is obtained by identifying after being singly intercepted by a processing system.

Step S605: and analyzing according to the vertical pixel number information and the unit pixel length information to determine contour height difference information.

The profile height difference information is a height difference between the vertical lens profile chord length point information and the inclined lens profile chord length point information, and referring to fig. 8, the product of the vertical pixel number information and the unit pixel length information is calculated by the processing system.

Referring to fig. 7, a method of analyzing contour height difference information and contour chord length information to determine lens arc information includes the steps of:

step S700: and analyzing according to the contour height difference information and the contour chord length information to determine the radian information of the basic lens.

The basic lens radian information refers to a lens radian obtained by collecting the contour image for the first time by the image collecting device, and referring to fig. 8, the basic lens radian information is obtained by calculating by the processing system according to the contour height difference information and the contour chord length information, for example: the lens radian information is an unknown number and is the hypotenuse of a right triangle, the horizontal crossed chord information is profile chord length information set by a person and is a right-angle side of the right triangle, and the length of the other right-angle side of the right triangle is the difference value of the lens radian information minus profile height difference information, so that the unique unknown number can be calculated according to the Pythagorean theorem: lens radian information.

Step S701: and analyzing according to the radian information of the basic lens and the chord length information of the contour so as to determine the angle information of the contour.

The contour angle information refers to a circle center angle value corresponding to the lens contour, referring to fig. 8, a sine function value of the contour angle information is obtained by calculating a quotient of contour chord length information and basic lens radian information by the processing system, and accordingly, the contour angle information is obtained by inverting the sine function value.

Step S702: and controlling a preset lens rotating device to rotate the lens to be detected along preset rotating direction information by using contour angle information, and acquiring angle rotation completion triggering information.

The lens rotating device in this step is the same as the lens rotating device in step S5021. The rotation direction information refers to the direction in which the lens rotation device rotates the lens to be detected, and includes the clockwise circumferential direction and the counterclockwise circumferential direction of the lens. The angle rotation completion triggering information refers to triggering data of the lens rotation device for detecting the rotation outline angle information of the lens to be detected, the rotation angle and the outline angle information are compared by the processing system, and the rotation angle and the outline angle information are output when the rotation angle and the outline angle information are equal.

The lens to be detected is rotated by the contour angle information along the rotation direction information by controlling the lens rotating device, so that radian measurement is carried out on each section of contour of the lens, and the accuracy of measurement is improved.

Step S703: and acquiring radian information and rotated angle information of the rotating base lens based on the angle rotation completion trigger information.

After the angle rotation completion triggering information, namely the angle information of the rotated outline of the lens is detected, the radian information of the rotated basic lens and the rotated angle information are detected, and data support is provided for the follow-up determination of the radian information of the lens.

The radian information of the rotating base lens refers to the measured radian of the lens after the angle information of the rotating contour of the lens to be detected, and the specific method is described in detail in the above steps, and will not be described here. The rotated angle information is an angle value of the lens to be detected, and the processing system obtains the product of the number of times of the lens to be detected to rotate and the contour angle information.

Step S704: and judging whether the rotated angle information meets the requirement of preset circumference angle information.

The circumferential angle information refers to an angle of 360 degrees after the lens rotates one circle. The requirement of the circumferential angle information means that the angle value corresponding to the circumferential angle information is equal.

And judging whether the angle value corresponding to the rotated angle information is equal to the angle value corresponding to the circumference angle information, so as to determine whether the contour of the circumference of the lens to be detected is subjected to radian measurement.

Step S7041: if the information is not met, the lens rotating device is continuously controlled to rotate the lens to be detected along the rotating direction information by the contour angle information, and radian information of the rotating basic lens is obtained.

If the angle value corresponding to the rotated angle information is not equal to the angle value corresponding to the circumferential angle information, the fact that the contour of the circle of the lens to be detected is not subjected to radian measurement is indicated, so that the lens rotating device is continuously controlled to rotate the lens to be detected along the rotating direction information by the contour angle information, and radian information of the rotating basic lens is obtained.

Step S7042: and if so, analyzing according to the basic lens radian information and the rotating basic lens radian information to determine the lens radian information.

If the angle value corresponding to the rotated angle information is equal to the angle value corresponding to the circumferential angle information, the radian measurement is performed on the contour of the circle of the lens to be detected, so that the average value of the basic lens radian information and the rotating basic lens radian information is calculated to obtain the lens radian information.

Based on the same inventive concept, an embodiment of the present invention provides an arc detection system, including:

the acquisition module is used for acquiring lens detection trigger information, image acquisition specification information, lens contour image information, environment brightness information, brightness qualification trigger information, basic lens image information, vertical lens contour chord point information, inclined lens contour chord point information, picture coordinate information, contour abnormal characteristic information, contour abnormal range information, abnormal characteristic coordinate information, horizontal pixel number information, vertical pixel number information, angle rotation completion trigger information, rotation basic lens radian information and rotated angle information;

A memory for storing a program of an arc detection method as described in any one of fig. 1 to 8;

a processor, a program in memory capable of being loaded by the processor and implementing a method of arc detection as described in any one of figures 1 to 8.

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional modules is illustrated, and in practical application, the above-described functional allocation may be performed by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to perform all or part of the functions described above. The specific working processes of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, which are not described herein.

Embodiments of the present invention provide a computer readable storage medium storing a computer program capable of being loaded by a processor and performing a method of arc detection.

The computer storage medium includes, for example: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

Based on the same inventive concept, an embodiment of the present invention provides an intelligent terminal, including a memory and a processor, where the memory stores a computer program that can be loaded by the processor and execute a radian detection method.

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional modules is illustrated, and in practical application, the above-described functional allocation may be performed by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to perform all or part of the functions described above. The specific working processes of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, which are not described herein.

The foregoing description of the preferred embodiments of the present application is not intended to limit the scope of the application, in which any feature disclosed in this specification (including abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise. That is, each feature is one example only of a generic series of equivalent or similar features, unless expressly stated otherwise.

Claims (10)

1. A method for detecting radian, comprising:

acquiring lens detection trigger information of a lens to be detected;

acquiring image acquisition specification information based on the lens detection trigger information;

controlling a preset image acquisition device to acquire image information of the lens contour by acquiring the image information of the lens to be detected;

analyzing according to the lens contour image information to determine contour height difference information;

and analyzing according to the contour height difference information and preset contour chord length information to determine the radian information of the lens.

2. The method of claim 1, wherein the step of obtaining the lens profile image information comprises:

acquiring the ambient brightness information of the surrounding environment of the image acquisition device;

judging whether the environment brightness information meets the requirement of the preset image on the brightness information;

if not, determining that the image directly collects information;

if yes, calculating a difference value between the environment brightness information and the image influence brightness information, and defining the calculated difference value as influence brightness difference value information;

analyzing according to the information affecting the brightness difference value to determine shading information or light supplementing information;

Controlling the image acquisition device to rotate based on the shading information, and acquiring brightness qualified triggering information;

based on the light supplementing information, controlling a preset light supplementing device to supplement light to the lens to be detected according to preset brightness increasing speed information, and acquiring brightness qualified triggering information;

determining direct image acquisition information according to the brightness qualified trigger information;

and controlling the image acquisition device to acquire the image according to the image direct acquisition information so as to acquire the lens contour image information.

3. The method of claim 2, wherein the step of controlling the image acquisition device to acquire the lens profile image information based on the image direct acquisition information comprises:

controlling an image acquisition device to shoot a lens to be detected according to the image direct acquisition information and the image acquisition specification information so as to acquire basic lens image information;

acquiring vertical lens contour chord length point information and inclined lens contour chord length point information;

analyzing according to the lens contour chord point information, the inclined lens contour chord point information and the basic lens image information to determine magnified lens image information;

processing the amplified lens image information according to preset contrast enhancement method information to generate high-contrast lens image information;

And processing the high-contrast lens image information according to the preset picture noise reduction method information to generate lens contour image information.

4. A method of radian sensing according to claim 3, wherein the method of processing the magnified lens image information to generate the high contrast lens image information in accordance with the contrast enhancement method information comprises:

analyzing according to the amplified lens image information to determine lens contour feature information;

analyzing according to a preset coordinate system and the contour characteristic information of the lens to determine contour coordinate information;

acquiring picture coordinate information;

judging whether the picture coordinate information meets the requirement of contour coordinate information or not;

if the image information is not matched with the preset first contrast color information, the image coordinate information is processed according to the preset first contrast color information so as to generate background image information;

if yes, processing the picture coordinate information according to preset second contrast color information to generate lens image information;

and analyzing according to the lens image information, the background image information and the picture coordinate information to determine the high-contrast lens image information.

5. The method of claim 4, wherein the method of processing the high contrast lens image information to generate lens contour image information based on the picture noise reduction method information comprises:

Acquiring outline abnormal characteristic information of high-contrast lens image information;

acquiring outline abnormal range information of outline abnormal characteristic information;

judging whether the outline abnormal range information meets the requirement of preset reference abnormal range information or not;

if the detected lens is not matched with the preset image contour image information, controlling a preset lens rotating device to rotate the lens to be detected according to the preset rotating angle information so as to obtain the image contour image information of the lens;

if yes, acquiring abnormal feature coordinate information of the outline abnormal feature information;

analyzing according to the contour coordinate information and the abnormal feature coordinate information to determine abnormal feature adjacent coordinate information;

analyzing according to the abnormal feature adjacent coordinate information and the abnormal feature coordinate information to determine corrected abnormal feature coordinate information;

and analyzing according to the abnormal feature coordinate information, the corrected abnormal feature coordinate information and the high-contrast lens image information to determine lens contour image information.

6. A method of radian sensing according to claim 3, wherein the method of analyzing the lens contour image information to determine contour height difference information comprises:

establishing vertical chord information in the lens contour image information according to the vertical lens contour chord point information, and establishing horizontal chord information in the lens contour image information according to the inclined lens contour chord point information;

Analyzing according to the vertical chord information and the horizontal chord information to determine horizontal intersecting chord information and vertical intersecting chord information;

acquiring the number information of horizontal pixel points of the horizontal cross chord information;

analyzing according to the contour chord length information and the horizontal pixel point quantity information to determine unit pixel point length information;

acquiring the number information of vertical pixel points of the vertical cross chord information;

and analyzing according to the vertical pixel number information and the unit pixel length information to determine contour height difference information.

7. The method of claim 1, wherein the step of analyzing the profile height difference information and the profile chord information to determine the lens radian information comprises:

analyzing according to the contour height difference information and the contour chord length information to determine basic lens radian information;

analyzing according to the radian information and the contour chord length information of the basic lens to determine contour angle information;

controlling a preset lens rotating device to rotate the lens to be detected along preset rotating direction information by using contour angle information, and acquiring angle rotation completion triggering information;

acquiring radian information and rotated angle information of a rotating base lens based on the angle rotation completion trigger information;

Judging whether the rotated angle information meets the requirement of preset circumference angle information or not;

if the information is not met, continuing to control the lens rotating device to rotate the lens to be detected along the rotating direction information by using the contour angle information, and acquiring radian information of the basic lens to be detected;

and if so, analyzing according to the basic lens radian information and the rotating basic lens radian information to determine the lens radian information.

8. An arc detection system, comprising:

the acquisition module is used for acquiring the lens detection trigger information, the image acquisition specification information and the lens contour image information;

a memory for storing a program of an arc detection method according to any one of claims 1 to 7;

a processor, a program in memory capable of being loaded by the processor and implementing a method of arc detection as claimed in any one of claims 1 to 7.

9. An intelligent terminal comprising a memory and a processor, wherein the memory stores a computer program that is loaded by the processor and that performs a method of arc detection as claimed in any one of claims 1 to 7.

10. A computer readable storage medium storing a computer program capable of being loaded by a processor and performing a method of arc detection as claimed in any one of claims 1 to 7.