CN117031479A - Method, apparatus and computer readable storage medium for optical detection - Google Patents
Method, apparatus and computer readable storage medium for optical detection Download PDFInfo
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Abstract
The application provides an optical detection method, an optical detection device and a computer readable storage medium, which can improve the accuracy of detecting an object to be detected according to photoelectric information. The method is applied to an optical detection system and comprises the following steps: receiving at least two light spot signals; the at least two light spot signals are signals generated by reflecting at least two original light signals emitted by the optical detection system on an object to be detected; performing feature contrast processing on the at least two light spot signals to obtain a processing result; and outputting photoelectric information according to the processing result and the threshold value.
Description
The present application is a divisional application, the application number of which is 202310533228.6, the date of which is 2023, 5, 12, and the entire contents of which are incorporated herein by reference.
Technical Field
The present application relates to the field of electronic technology, and in particular, to a method, an apparatus, and a computer readable storage medium for optical detection.
Background
The conventional photoelectric detection system comprises a transmitting source and a receiving part, wherein a light signal emitted by the transmitting source irradiates on an object to be detected to generate a reflection light spot, the receiving part analyzes information carried by the reflection light spot after acquiring the reflection light spot, and the characteristics of the object to be detected are judged based on the information carried by the reflection light spot.
However, the conventional photoelectric detection system has low robustness of detection results due to the influence of the position difference of the object to be detected and environmental factors.
Disclosure of Invention
The application provides an optical detection method, an optical detection device and a computer readable storage medium, which can improve the accuracy of detecting an object to be detected.
In a first aspect, there is provided a method of optical detection, the method comprising: receiving at least two light spot signals; the at least two light spot signals are signals generated by reflecting at least two original light signals emitted by the optical detection system on an object to be detected; performing feature contrast processing on the at least two light spot signals to obtain a processing result; and outputting photoelectric information according to the processing result and the threshold value.
The method is applied to the optical detection system, the object to be detected is detected by analyzing at least two light spot signals reflected by the object to be detected, more information can be obtained, and if one light spot signal has larger error due to factors such as environmental interference, the optical detection system can correct the error through the other light spot signals, so that the accuracy of detecting the object to be detected can be improved.
Optionally, the performing feature contrast processing on the at least two light spot signals includes: performing differential processing or matching processing on the at least two light spot signals; wherein, under the condition of differential processing, the threshold value is a characteristic parameter between the at least two light spot signals; and under the condition of matching processing, the threshold value is a characteristic parameter between the at least two light spot signals and the standard detection point.
In this embodiment, the optical detection system may perform differential or matching processing on information obtained from the speckle signal according to different detection requirements, so as to flexibly adapt to different scenes. The difference processing is the characteristic comparison between the light spot signals, when the object to be detected is influenced by the environment, the light spot signals are also influenced by the environment uniformly, but the relative value between the light spot signals is not changed, so that the influence of the environment factors on the detection result can be eliminated by the difference processing. The matching processing is the feature comparison between the light spot signals and the standard detection points, and because the light spot signals are more, the errors of the individual light spot signals do not affect the final detection result, and the parameters of the standard detection points and the threshold values are supported to be adjusted conveniently and rapidly by a user according to actual demands.
Optionally, the performing differential processing on the at least two light spot signals to obtain a processing result includes: respectively acquiring color parameters of the at least two light spot signals; calculating the proportion of the light intensity signals of each color in the color parameters; acquiring a first similarity between the at least two light spot signals according to the proportion of the light intensity signals of each color; and the processing result is the first similarity.
In this embodiment, the first similarity between the spot signals may be confirmed by a color parameter, for example, the first similarity between the spot signals may be obtained according to the duty ratios of the red, green and blue channels in the respective spot signals. The parameters are convenient to acquire, the processing process is simple, and the judging speed is high. Support detection of objects to be measured in special cases, for example: when the target object has chromatic aberration, the chromatic aberration is taken as a detected threshold value in the process of setting the threshold value to judge the object to be detected, and only the threshold value is needed to be considered. The two light spot signals are uniformly influenced by the environment, the relative value between the two light spot signals after the difference is solved can exclude environmental factors, and the robustness in a strong interference environment is high.
Optionally, the performing differential processing on the at least two light spot signals to obtain a processing result includes: respectively acquiring color parameters of the at least two light spot signals; calculating the proportion of the light intensity signals of each color in the color parameters; acquiring a first similarity between the at least two light spot signals according to the proportion of the light intensity signals of each color; respectively calculating brightness parameters of the at least two facula signals according to the size of the light intensity signals of each color and the mapping relation between the first similarity and brightness; acquiring a second similarity between the at least two light spot signals according to the intensity signals of the colors and the brightness parameters; and the processing result is the second similarity.
In the embodiment, the brightness parameters are added for feature comparison, the color and the brightness of the comprehensive facula signals are comprehensively judged, the difference is more easily represented, and the detection sensitivity is improved.
Optionally, the matching processing is performed on the at least two light spot signals to obtain a processing result, including: respectively acquiring color parameters of the at least two light spot signals; calculating the proportion of the light intensity signals of each color in the color parameters; respectively acquiring first similarity between the at least two facula signals and the standard detection point according to the proportion of the light intensity signals of each color; and the processing result is the first similarity.
In this embodiment, the first similarity between the spot signal and the standard detection point may be confirmed by the color parameter, for example, the first similarity between each spot signal and the standard detection point may be obtained according to the duty ratio of the red, green and blue channels in the spot signal. The parameters are convenient to acquire, the processing process is simple, and the judging speed is high.
The embodiment does not limit the setting of the standard detection point, and supports various personalized detection scenes. For example, if the overall characteristics of the target object are consistent, any point on the target object can be set as a standard detection point according to the requirement, and the received plurality of light spot signals and the single standard detection point are respectively subjected to first similarity calculation; the parameters for judgment are more, and erroneous judgment under the conditions of color parameter approaching and the like can be avoided. Meanwhile, if the target object has regional difference or the environment has uneven influence on the target object, a plurality of standard detection points can be set in a targeted manner, and the similarity between each light spot signal and each standard detection point or between each light spot signal and the corresponding (such as corresponding position relation) standard detection point is calculated. The standard detection point positions, the number, the threshold value for judgment and the like support personalized adjustment of users. The accuracy of detecting the object to be detected is high, and the method is widely applicable to scenes.
Optionally, the matching processing is performed on the at least two light spot signals to obtain a processing result, including: respectively acquiring color parameters of the at least two light spot signals; calculating the proportion of the light intensity signals of each color in the color parameters; respectively acquiring first similarity between the at least two facula signals and the standard detection point according to the proportion of the light intensity signals of each color; respectively calculating brightness parameters of the at least two facula signals according to the size of the light intensity signals of each color and the mapping relation between the first similarity and brightness; respectively acquiring second similarity between the at least two light spot signals and the standard detection point according to the intensity signals of each color and the brightness parameter; and the processing result is the second similarity.
In the embodiment, the brightness parameters are added for feature comparison, the color and the brightness of the comprehensive facula signals are comprehensively judged, the difference is more easily represented, and the detection sensitivity is improved.
Optionally, the at least two original optical signals are time-division emitted by the optical detection system.
In this embodiment, when the original optical signals are transmitted in a time-sharing manner, optical interference phenomenon generated between the original optical signals can be avoided, noise is reduced, and detection error is reduced.
Optionally, the at least two original optical signals are generated by light emitted from an emission source in the optical detection system through a beam splitter.
In this embodiment, compared with the case where a plurality of emission sources are provided to perform the emission of the original emission source, the system power consumption can be reduced. In addition, the method has small change to the existing instrument, and is beneficial to reducing the equipment upgrading cost.
In a second aspect, there is provided an apparatus for optical detection comprising means for performing any of the methods of the first aspect. The device may be a physical device or a chip in a physical device. The apparatus may include an input unit and a processing unit.
When the apparatus is a physical device, the processing unit may be a processor and the input unit may be a photosensitive element or other input device; the entity device may further comprise a memory for storing computer program code that, when executed by the processor, causes the entity device to perform any one of the methods of the first aspect.
When the apparatus is a chip in a physical device, the processing unit may be a processing unit inside the chip, and the input unit may be an input/output interface, a pin, a circuit, or the like; the chip may also include memory, which may be memory within the chip (e.g., registers, caches, etc.), or memory external to the chip (e.g., read-only memory, random access memory, etc.); the memory is for storing computer program code which, when executed by the processor, causes the chip to perform any of the methods of the first aspect.
In a third aspect, there is provided a computer readable storage medium storing computer program code which, when run by an apparatus for optical detection, causes the apparatus to perform any one of the methods of the first aspect.
Drawings
FIG. 1 is a schematic diagram of a related art signal in an oscilloscope presenting state;
FIG. 2 is a schematic diagram of a method of optical detection provided by the present application;
FIG. 3 is a schematic diagram of one embodiment of a method of optical detection provided by the present application;
FIG. 4 is a schematic diagram of signals of the method of optical detection provided by the present application;
FIG. 5 is a schematic diagram of one embodiment of a method of optical detection provided by the present application;
FIG. 6 is a schematic diagram of a mapping relationship of the optical detection method provided by the present application;
FIG. 7 is a schematic diagram of one embodiment of a method of optical detection provided by the present application;
FIG. 8 is a schematic diagram of an optical detection apparatus provided by the present application;
fig. 9 is a schematic diagram of an electronic device for optical detection provided by the present application.
Detailed Description
The technical scheme of the application will be described below with reference to the accompanying drawings.
Fig. 1 shows a single-emission-source driving signal (L) applied to a detection sensor and one of the reflected light intensity signals, where the receiving module of the sensor is integrated with three color receiving tubes, respectively R (red), G (green), B (blue), and when the driven white light beam irradiates the object to be detected, the light intensity signal with R, G, B components is reflected to the receiving portion by the object to be detected, and the three channels of RGB data processing can be used for color distinguishing detection. Wherein, the driving period of the driving signal is t1. In the sensor, color similarity S (C) is mainly used as a signal output condition, for example, a target object P is irradiated by an original light beam, the reflected RGB accounts for R1%, G1% and B1% respectively, a setting function is called at the moment, the information value of the point is recorded, the RGB accounts for the threshold value of triggering, after setting is completed, the original light beam of the sensor emits and receives a reflection light spot against the surface of the object to be detected, and when the incidence of the reflection light spot is larger than or equal to the threshold value, the triggering output condition of the sensor is met.
The scheme can only process single detection information, and the derived problems are as follows: when objects with similar colors pass, the RGB similarity easily meets the triggering condition, and the signals can trigger output; in addition, when one target object itself has a problem of overall inconsistency such as chromatic aberration, this approach makes detection and judgment difficult.
The method 200 of optical inspection provided by the present application will be described in detail below with reference to fig. 2. It should be noted that, in the present application, terms such as "first," "second," and the like are used to distinguish different individuals in the same type of object, for example, the first similarity and the second similarity represent two different similarity types, and there is no other limitation.
The method 200 may be performed by the apparatus shown in fig. 8, applied to an optical detection system. As shown in fig. 2, method 200 includes the following.
S201, receiving at least two light spot signals; the at least two light spot signals are signals generated by reflecting at least two original light signals emitted by the optical detection system on an object to be detected. In this embodiment, at least two light spot signals reflected by the object to be detected are received, that is, information of at least two points on the object to be detected can be obtained, the information quantity of detecting the object to be detected is larger, and the accuracy of detection is improved.
It will be appreciated that there is a positional difference between the acquired at least two spot signals. After receiving at least two light spot signals, denoising processing such as filtering can be performed on the light spot signals.
Optionally, the at least two original optical signals are time-division emitted by the optical detection system.
In this embodiment, in order to make the object to be detected reflect at least two light spot signals, the optical detection system includes at least two emission sources, and each emission source emits multiple beams of original optical signals in a time-sharing manner, so that optical interference between the original optical signals can be avoided, and detection errors are further reduced.
The time period of the time-sharing emission can be set to be integral multiple of the driving period of each original optical signal, parameters needing to be changed are reduced, and emission control is conveniently and rapidly achieved. As shown in fig. 4, the driving periods of the original optical signals L1 and L2 are both originally t1, and the period of time-division emission is set to t2, t2=2t1. Then one original light signal L1 is sent during 1/2 of the t2 period (i.e. time t3 in the figure) and the other original light signal L2 is sent at the beginning of the complete t2 period during one time period of the complete time-sharing transmission.
Meanwhile, when at least two emission sources are included in the optical detection system, only one light receiving element is supported.
The multiple emission sources are used for emitting original optical signals in a time-sharing mode, and time differences exist among the original optical signals, so that light spot information reflected by an object to be detected does not arrive at the light receiving element at the same time. That is, the light receiving element can receive the plurality of light spot signals reflected by the object to be detected one by one according to the time difference, and the light receiving element is not required to have the high-complexity function of receiving and distinguishing the plurality of light spot signals at the same time, so that the design difficulty and the production cost of the light receiving element are reduced. Furthermore, the use of only a single light receiving element can also reduce the industrial cost and process complexity of the optical detection system. As shown in fig. 3, in the exemplary physical apparatus of this embodiment, only one light receiving element is supported in the receiving unit, and at least two emission sources may be disposed in the emitting unit.
Optionally, the at least two original optical signals are generated by light emitted from an emission source in the optical detection system through a beam splitter.
In this embodiment, compared with the arrangement of a plurality of emission sources in the optical detection system, the power consumption of the emission sources is reduced; in addition, the change to the existing detection device is small, which is beneficial to reducing the equipment upgrading cost.
It is understood that the emitting source in the present application may be an emitting light source or a light source for transmitting original light information to the object to be measured.
S202, performing feature contrast processing on the at least two light spot signals to obtain a processing result. In this embodiment, the characteristic parameters are extracted from the obtained at least two light spot signals, and the operation processing is performed according to the characteristic parameters, so as to obtain the parameters for completing the detection as the processing result.
Optionally, performing feature contrast processing on the at least two light spot signals, including: performing differential processing or matching processing on the at least two light spot signals; wherein, under the condition of differential processing, the threshold value is a characteristic parameter between the at least two light spot signals; and under the condition of matching processing, the threshold value is a characteristic parameter between the at least two light spot signals and the standard detection point.
In this embodiment, the optical detection system may perform differential or matching processing on information obtained from the speckle signal according to different detection requirements, so as to flexibly adapt to different scenes. The difference processing is the characteristic comparison between the light spot signals, when the object to be detected is influenced by the environment, the light spot signals are also influenced by the environment uniformly, but the relative value between the light spot signals is not changed, so that the influence of the environment factors on the detection result can be eliminated by the difference processing. The matching processing is the feature comparison between the light spot signals and the standard detection points, and because the light spot signals are more, the errors of the individual light spot signals do not affect the final detection result, and the parameters of the standard detection points and the threshold values are supported to be adjusted conveniently and rapidly by a user according to actual demands.
Optionally, the performing differential processing on the at least two light spot signals to obtain a processing result includes: respectively acquiring color parameters of the at least two light spot signals; calculating the proportion of the light intensity signals of each color in the color parameters; acquiring a first similarity between the at least two light spot signals according to the proportion of the light intensity signals of each color; and the processing result is the first similarity. Referring to fig. 5, a flow chart of the differential processing is shown. Wherein L1 and L2 represent two groups of original optical signals, and LA and LB represent two received light spot signals reflected by an object to be detected.
In this embodiment, the first similarity between the spot signals may be confirmed by a color parameter, for example, the first similarity between the spot signals may be obtained according to the duty ratios of the red, green and blue channels in the respective spot signals. The parameters are convenient to acquire, the processing process is simple, and the judging speed is high. Support detection of objects to be measured in special cases, for example: when the target object has chromatic aberration, the chromatic aberration is taken as a detected threshold value in the process of setting the threshold value to judge the object to be detected, and only the threshold value is needed to be considered. The two light spot signals are uniformly influenced by the environment, and the relative value between the two light spot signals after the difference is solved can exclude the environment factors, so that the robustness to the environment factors is high. The first similarity is, for example, a color correlation similarity.
Specifically, taking two light spot signals as an example, a and B respectively, the first similarity calculation process may be:
parameter description:
r (A/B) ratio is the light intensity signal ratio of the R channel, and the ratio is calculated as follows:
s (C) is C (color) similarity, and the numerical reference range is 0-999; the ABS () formula is used to calculate an absolute value.
In the differential processing, the formula (1) is implemented: the R, G, B value duty cycle difference between the two spot signals is determined. Taking the R channel as an example: RE is the absolute value of the difference in duty cycle of the light intensity signal between the R channels of the two spot signals, and the duty cycle is multiplied by 1000 for convenient calculation. Equation (2) is implemented: a first similarity between the two spot signals is found. To fully represent the difference between two-point colors, equation (1) sums the RGB channel scale differences and uses DIFF (C) to represent that the larger the difference, the larger DIFF (C) is; to visually represent the similarity, the final similarity S (C) can be obtained by using 999-DIFF (C) in equation (2). Wherein DIFF () is used to calculate the total color difference value, C denotes color, representing color. It can be understood that the reduction 999 in the formulas (2) and (2) is changed to parameters such as 1000 according to the purpose of reducing the computational complexity and the like in the operation process.
Optionally, the performing differential processing on the at least two light spot signals to obtain a processing result includes: respectively acquiring color parameters of the at least two light spot signals; calculating the proportion of the light intensity signals of each color in the color parameters; acquiring a first similarity between the at least two light spot signals according to the proportion of the light intensity signals of each color; respectively calculating brightness parameters of the at least two facula signals according to the size of the light intensity signals of each color and the mapping relation between the first similarity and brightness; acquiring a second similarity between the at least two light spot signals according to the intensity signals of the colors and the brightness parameters; and the processing result is the second similarity.
In this embodiment, the brightness parameter is added to perform feature comparison, and the color and brightness of the integrated facula signal are comprehensively determined, so that the difference is more easily represented, and the detection sensitivity is improved.
Specifically, in order to improve the detection sensitivity of the degree of difference between the multi-spot signals, a CI (color-light) calculation method is introduced, that is, color and brightness are combined. The specific implementation mode is as follows:
in the differential mode of operation,
equation (4) is used to: and respectively obtaining the maximum light intensity signal value of each R, G, B channel of the light spot signal A and the light spot signal B as LA and LB.
Equation (5) is used to complete the second similarity calculation. The light intensity signals of the respective colors of A and B have different duty ratios and different brightness, and the formula (5) (1) represents the difference between the maximum light intensity signals of A and B. Equation (5) (2) mainly calculates the first similarity S (C) to the luminance parameter E 2 (I) I represents luminance, formula (5) (2), i.e., the physical meaning is the mapping relationship between the first similarity and the luminance parameter, and the mapping result represents: when A, B the two light spots have similar signal color, E 2 (I) The smaller the equation (5) (4) is, the smaller the reduction is. Analysis of formula (5) (2): s (C) is the mapped value, S (C) min The lower limit value of the mapped value is 0,S (C) in actual calculation max Represents the upper limit value of the mapped value, and is 999 in actual operation, CIKP min Representation mappingThe target lower limit value is 0 in actual operation, CIKP max The map target upper limit value is represented, and may be set to [0-10 ] according to the system adjustment setting]. Wherein the CIKP parameter is used for identifying the proportional relationship between color and brightness. The mapping result of S (C) and CIKP is that the closer the first similarity S (C) of two light spot signals is, that is, the closer S (C) is to 999, the smaller the CIKP value is generated. A schematic diagram showing the relationship of S (C) and CIKP is shown in FIG. 6.
(5) (3)E) 1 (I) Can represent the real-time brightness difference between two light spot signals, which is equal to E 2 (I) The result of coefficient multiplication is the integrated difference E 3 (I)。E 3 (I) The change trend of the value is in inverse relation with the value of S (C), and the inverse significance is that: for the E calculated by the similar or same color of the light intensity information reflected by the two light spot signals 3 (I) The change is not very large, so that a better detection range can be maintained, namely, the environment parameters such as distance/external light signals and the like can be automatically filtered. The formula (5) (4) is that the first similarity is different from the comprehensive difference, and under the action of the above scale factors, the obtained S (CI) similarity can be used for distinguishing a standard detection point from a non-standard detection point in a friendly way, so that detection is completed. The second similarity is, for example, S (CI).
Optionally, the matching processing is performed on the at least two light spot signals to obtain a processing result, including: respectively acquiring color parameters of the at least two light spot signals; calculating the proportion of the light intensity signals of each color in the color parameters; respectively acquiring first similarity between the at least two facula signals and the standard detection point according to the proportion of the light intensity signals of each color; and the processing result is the first similarity. Referring to fig. 7, a schematic diagram of the matching process is shown.
In one example, the variance value may also be calculated from S (CI) for determination, such as equation (6):
D＝999-S(CI)(6)
d is the difference value between at least two light spot signals, and a related threshold value can be set to judge whether the object to be detected is a target object.
In this embodiment, the first similarity between the spot signal and the standard detection point may be confirmed by the color parameter, for example, the first similarity between each spot signal and the standard detection point may be obtained according to the duty ratio of the red, green and blue channels in the spot signal. The parameters are convenient to acquire, the processing process is simple, and the judging speed is high.
The embodiment does not limit the setting of the standard detection point, and supports various personalized detection scenes. For example, if the overall characteristics of the target object are consistent, any point on the target object can be set as a standard detection point according to the requirement, and the received plurality of light spot signals and the single standard detection point are respectively subjected to first similarity calculation; the parameters for judgment are more, and erroneous judgment under the conditions of color parameter approaching and the like can be avoided. Meanwhile, if the target object has regional difference or the environment has uneven influence on the target object, a plurality of standard detection points can be set in a targeted manner, and the similarity between each light spot signal and each standard detection point or between each light spot signal and the corresponding (such as corresponding position relation) standard detection point is calculated. The standard detection point positions, the number, the threshold value for judgment and the like support personalized adjustment of users. The accuracy of detecting the object to be detected is high, and the method is widely applicable to scenes.
In one example, when the similarity between each spot signal and each standard detection point is calculated and the corresponding relation is not determined, a proportion threshold may be set in addition to the similarity threshold, and when the ratio of the similarity satisfying the similarity threshold exceeds the proportion threshold, the object to be detected may be determined as the target object. For example, the colors of the first area and the second area of the target object are inconsistent, the standard detection point n is located in the first area, the standard detection point m is located in the second area, and the first area and the second area have chromatic aberration. Receiving the light spot signals A and B, setting a proportion threshold value as 50%, obtaining 4 groups of similarity (A and n, A and m, B and n, B and m), wherein the similarity between A and n and the similarity between B and m meet the similarity threshold value, the proportion reaches 50%, and determining that the object to be detected is the target object.
In one example, reliability screening of spot information may also be implemented. For example, when the overall characteristics of the target object are consistent, three light spot signals, namely a light spot E1, a light spot E2 and a light spot E3, are received, and similarity calculation is performed between the light spots. The similarity of the light spot E1 and the light spot E2 is larger, the similarity of the light spot E1 and the light spot E3 is smaller, the similarity of the light spot E2 and the light spot E3 is smaller, the light spot E3 is greatly interfered by the environment, a larger error exists, the light spot E3 can be ignored when the similarity is calculated with a standard detection point, and only the similarity between the light spot E1 and the light spot E2 and the standard detection point is calculated, so that the matching detection is finally completed.
Each standard detection point and the threshold value support user-defined setting, meet the requirement of high-precision detection, and can be adjusted in real time according to environments and different target detection objects.
Specifically, the first similarity calculation formula may refer to the above-described embodiments. Wherein A is the received light spot signal, and B is the standard detection point. And respectively calculating the first similarity between at least two groups of light spot signals and the standard detection points.
The same point of the matching process and the difference process is that the S (CI) calculation method is consistent, S (C) generates a brightness parameter, the different points are in the difference mode, the reference point for calculating the similarity is the RGB (red, green and blue) duty ratio of other received facula signals, and the calculated brightness parameter is between two facula signals; in the matching mode, at least two light spot signals are obtained, RGB information of the respective light spot signals is recorded, and respective brightness parameter values are calculated according to the standard detection points.
It will be appreciated that the threshold in this embodiment may be obtained directly by processing the target object using an optical detection system. For example, the target object is collected once to obtain the standard detection point, and the second transmission and reception are performed while the target object is kept stationary, so that the S (CI) calculated twice is 999 or other parameters representing complete coincidence, and the S (CI) is set SET . To be able to trigger the optoelectronic information friendly, 999-30 could be set to S (CI) SET . Alternatively, the standard detection point is acquired once for the target object, and then, in order to increase the tolerance range, another object with a slight difference is acquired for the second transmission and reception, taking the calculated S (CI) as S (CI) SET . That is, the threshold value in this embodiment can directly collect the target objectThe volume or other reference object is acquired without manual input.
Optionally, the matching processing is performed on the at least two light spot signals to obtain a processing result, including: respectively acquiring color parameters of the at least two light spot signals; calculating the proportion of the light intensity signals of each color in the color parameters; respectively acquiring first similarity between the at least two facula signals and the standard detection point according to the proportion of the light intensity signals of each color; respectively calculating brightness parameters of the at least two facula signals according to the size of the light intensity signals of each color and the mapping relation between the first similarity and brightness; respectively acquiring second similarity between the at least two light spot signals and the standard detection point according to the intensity signals of each color and the brightness parameter; and the processing result is the second similarity.
In this embodiment, the brightness parameter is added to perform feature comparison, and the color and brightness of the integrated facula signal are comprehensively determined, so that the difference is more easily represented, and the detection sensitivity is improved.
Specifically, the second similarity calculation formula may refer to the above-described embodiment. At this time, a is a received spot signal, and B is a standard detection point. And respectively calculating the second similarity between at least two groups of light spot signals and the standard detection points.
Wherein when the dual-spot signal moves to the non-standard detection point, the difference E is calculated due to the synchronous change of S (C) (decrease) and brightness parameter (increase) 3 (I) Become larger and more pronounced.
And S203, outputting photoelectric information according to the processing result and the threshold value.
Specifically, the processing result includes the first similarity or the second similarity. The different similarity is associated with the threshold (S () SET ) And comparing, and if the detection result meets the standard according to the threshold value, judging the object to be detected as a target object.
In the related art, after spot information of a single object to be detected is obtained, color similarity between the single spot information and a single standard detection point is calculated, and a threshold is calculated and used according to the color similarityThe threshold value judges the color similarity and determines whether the object to be detected is a target object. The judgment standard is single, and the error is very easy to occur. For example by S (C) SET = (999+s (C))/2, further judgment, and the like. But the implementation mode provided by the application has the advantages that the acquired information is rich, the processing process is diversified, the detection sensitivity is improved, and the user experience is ensured.
If the physical device of the photoelectric detection system is a photoelectric switch, the output photoelectric information is on or off of the photoelectric switch. Responding when the object to be detected is detected as a target object, and opening a photoelectric switch; and when the detection result is not the target object, no response is carried out, and the detection process is ended. It can be understood that outputting the photoelectric information may also be outputting other forms of determination results of whether the object to be detected is the target object, and so on.
The method is applied to the optical detection system, the object to be detected is detected by analyzing at least two light spot signals reflected by the object to be detected, more information can be obtained, and if one light spot signal has larger error due to factors such as environmental interference, the optical detection system can correct the error through the other light spot signals, so that the accuracy of detecting the object to be detected can be improved.
Examples of the method of optical detection provided by the present application are described in detail above. It is to be understood that the corresponding means, in order to carry out the functions described above, comprise corresponding hardware structures and/or software modules for carrying out the respective functions. Those of skill in the art will readily appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The present application may divide the functional units of the optical detection apparatus according to the above-described method example, for example, each function may be divided into each functional unit, or two or more functions may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units. It should be noted that the division of the units in the present application is illustrative, and is merely a logic function division, and other division manners may be implemented in practice.
Fig. 8 is a schematic structural diagram of an optical detection device provided by the application. The apparatus 600 comprises a processing unit 610 and an input unit 620, wherein the input unit 620 is capable of performing the acquisition step under control of the processing unit 610.
The input unit 620 is configured to: receiving at least two light spot signals; the at least two light spot signals are signals generated by reflecting at least two original light signals emitted by the optical detection system on an object to be detected;
the processing unit 610 is configured to: performing feature contrast processing on the at least two light spot signals to obtain a processing result; and outputting photoelectric information according to the processing result and the threshold value.
Optionally, the at least two original optical signals are time-division emitted by the optical detection system.
Optionally, the at least two original optical signals are generated by light emitted from an emission source in the optical detection system through a beam splitter.
Optionally, the processing unit 610 is further configured to: performing feature contrast processing on the at least two light spot signals, including: performing differential processing or matching processing on the at least two light spot signals; wherein, under the condition of differential processing, the threshold value is a characteristic parameter between the at least two light spot signals; and under the condition of matching processing, the threshold value is a characteristic parameter between the at least two light spot signals and the standard detection point.
Optionally, the processing unit 610 is further configured to: performing differential processing on the at least two light spot signals to obtain a processing result, wherein the differential processing comprises the following steps: respectively acquiring color parameters of the at least two light spot signals; calculating the proportion of the light intensity signals of each color in the color parameters; acquiring a first similarity between the at least two light spot signals according to the proportion of the light intensity signals of each color; and the processing result is the first similarity.
Optionally, the processing unit 610 is specifically configured to: performing differential processing on the at least two light spot signals to obtain a processing result, wherein the differential processing comprises the following steps: respectively acquiring color parameters of the at least two light spot signals; calculating the proportion of the light intensity signals of each color in the color parameters; acquiring a first similarity between the at least two light spot signals according to the proportion of the light intensity signals of each color; respectively calculating brightness parameters of the at least two facula signals according to the size of the light intensity signals of each color and the mapping relation between the first similarity and brightness; acquiring a second similarity between the at least two light spot signals according to the intensity signals of the colors and the brightness parameters; and the processing result is the second similarity.
Optionally, the processing unit 610 is further configured to: matching the at least two light spot signals to obtain a processing result, wherein the processing result comprises: respectively acquiring color parameters of the at least two light spot signals; calculating the proportion of the light intensity signals of each color in the color parameters; respectively acquiring first similarity between the at least two facula signals and the standard detection point according to the proportion of the light intensity signals of each color; and the processing result is the first similarity.
Optionally, the processing unit 610 is further configured to: matching the at least two light spot signals to obtain a processing result, wherein the processing result comprises: respectively acquiring color parameters of the at least two light spot signals; calculating the proportion of the light intensity signals of each color in the color parameters; respectively acquiring first similarity between the at least two facula signals and the standard detection point according to the proportion of the light intensity signals of each color; respectively calculating brightness parameters of the at least two facula signals according to the size of the light intensity signals of each color and the mapping relation between the first similarity and brightness; respectively acquiring second similarity between the at least two light spot signals and the standard detection point according to the intensity signals of each color and the brightness parameter; and the processing result is the second similarity.
The specific manner in which the apparatus 600 performs the method of optical detection and the resulting benefits may be found in the relevant description of the method embodiments.
Fig. 9 shows a schematic structural diagram of an optical detection electronic device provided by the application. The dashed line in fig. 9 indicates that the unit or the module is optional. The apparatus 700 may be used to implement the methods described in the method embodiments described above. The device 700 may be a physical device or a server or chip.
The device 700 includes one or more processors 701, which one or more processors 701 may support the device 700 to implement the methods in the method embodiments. The processor 701 may be a general-purpose processor or a special-purpose processor. For example, the processor 701 may be a central processing unit (central processing unit, CPU), digital signal processor (digital signal processor, DSP), application specific integrated circuit (application specific integrated circuit, ASIC), field programmable gate array (field programmable gate array, FPGA), or other programmable logic device such as discrete gates, transistor logic, or discrete hardware components.
The processor 701 may be used to control the device 700, execute a software program, and process data of the software program. The device 700 may further comprise a communication unit 705 for enabling input (receiving) and output (transmitting) of signals.
For example, the device 700 may be a chip, the communication unit 705 may be an input and/or output circuit of the chip, or the communication unit 705 may be a communication interface of the chip, which may be an integral part of a physical device or a server or other electronic device.
For another example, the device 700 may be an entity device, the communication unit 705 may be a transceiver of the entity device, or the communication unit 705 may be a transceiver circuit of the entity device.
The apparatus 700 may include one or more memories 702 having a program 704 stored thereon, the program 704 being executable by the processor 701 to generate instructions 703 such that the processor 701 performs the methods described in the method embodiments above in accordance with the instructions 703. Optionally, the memory 702 may also have data stored therein. Alternatively, processor 701 may also read data stored in memory 702, which may be stored at the same memory address as program 704, or which may be stored at a different memory address than program 704.
The processor 701 and the memory 702 may be provided separately or may be integrated together, for example, on a System On Chip (SOC) of a physical device.
The application also provides a computer program product which, when executed by a processor 701, implements the method according to any of the method embodiments of the application.
The computer program product may be stored in the memory 702, for example, the program 704, and the program 704 is finally converted into an executable object file capable of being executed by the processor 701 through preprocessing, compiling, assembling, and linking.
The application also provides a computer readable storage medium having stored thereon a computer program which when executed by a computer implements the method according to any of the method embodiments of the application. The computer program may be a high-level language program or an executable object program.
Such as memory 702. The memory 702 may be volatile memory or nonvolatile memory, or the memory 702 may include both volatile and nonvolatile memory. The nonvolatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an electrically Erasable EPROM (EEPROM), or a flash memory. The volatile memory may be random access memory (random access memory, RAM) which acts as an external cache. By way of example, and not limitation, many forms of RAM are available, such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous DRAM (SLDRAM), and direct memory bus RAM (DR RAM).
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working processes and technical effects of the apparatus and device described above may refer to corresponding processes and technical effects in the foregoing method embodiments, which are not described in detail herein.
In several embodiments provided by the present application, the disclosed systems, apparatuses, and methods may be implemented in other manners. For example, some features of the method embodiments described above may be omitted, or not performed. The above-described apparatus embodiments are merely illustrative, the division of units is merely a logical function division, and there may be additional divisions in actual implementation, and multiple units or components may be combined or integrated into another system. In addition, the coupling between the elements or the coupling between the elements may be direct or indirect, including electrical, mechanical, or other forms of connection.
It should be understood that, in various embodiments of the present application, the size of the sequence number of each process does not mean that the execution sequence of each process should be determined by its functions and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.
In addition, the terms "system" and "network" are often used interchangeably herein. The term "and/or" herein is merely one association relationship describing the associated object, meaning that there may be three relationships, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
In summary, the foregoing description is only a preferred embodiment of the present application, and is not intended to limit the scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (5)
1. A method of optical inspection, for use in an optical inspection system, the method comprising:
receiving at least two light spot signals; the at least two light spot signals are signals generated by reflecting at least two original light signals emitted by the optical detection system on an object to be detected;
performing feature contrast processing on the at least two light spot signals to obtain a processing result;
Outputting photoelectric information according to the processing result and a threshold value;
the feature comparison processing is performed on the at least two light spot signals to obtain a processing result, which comprises the following steps:
matching the at least two light spot signals to obtain the processing result; under the condition of matching processing, the threshold value is a characteristic parameter between the at least two light spot signals and the standard detection point;
the matching processing is performed on the at least two light spot signals to obtain the processing result, which includes:
respectively acquiring color parameters of the at least two light spot signals;
calculating the proportion of the light intensity signals of each color in the color parameters;
respectively acquiring first similarity between the at least two facula signals and the standard detection point according to the proportion of the light intensity signals of each color;
respectively calculating brightness parameters of the at least two facula signals according to the size of the light intensity signals of each color and the mapping relation between the first similarity and brightness;
respectively acquiring second similarity between the at least two light spot signals and the standard detection point according to the intensity signals of each color and the brightness parameter; and the processing result is the second similarity.
2. The method of claim 1, wherein the at least two raw optical signals are time-division emitted by the optical detection system.
3. The method of claim 1, wherein the at least two raw optical signals are generated by passing light emitted by an emission source in the optical detection system through a beam splitter.
4. An apparatus for an optical inspection method, comprising a processor and a memory, the processor and the memory being coupled, the memory being for storing a computer program which, when executed by the processor, causes the apparatus to perform the method of any one of claims 1 to 3.
5. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program, which when executed by a processor causes the processor to perform the method of any of claims 1 to 3.
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