WO2023120990A1

WO2023120990A1 - Method and device for testing hologram pattern analysis software of digital holographic microscope

Info

Publication number: WO2023120990A1
Application number: PCT/KR2022/017999
Authority: WO
Inventors: 이대건; 공대성; 최현석
Original assignee: (주)힉스컴퍼니
Priority date: 2021-12-24
Filing date: 2022-11-15
Publication date: 2023-06-29

Abstract

The present invention relates to a method for testing hologram pattern analysis software of a digital holographic microscope. The method for testing hologram pattern analysis software of a digital holographic microscope comprises the steps of: (a) extracting one of a plurality of first algorithms for performing frequency domain transformation on a holographic image including an object image and a reference image; (b) extracting one of a plurality of second algorithms for performing filtering of the frequency domain transformed holographic image; (c) extracting one of a plurality of third algorithms for calculating the optical path difference between an object light and a reference light on the basis of the filtered holographic image; (d) extracting one of a plurality of fourth algorithms for generating a frequency domain field of a corrected image by using the calculated optical path difference; and (e) generating a corrected image of the input holographic image by combining the algorithms extracted in steps (a) to (d).

Description

Hologram pattern analysis software test method and apparatus of digital holographic microscope

The present invention relates to a method and apparatus for testing hologram pattern analysis software of a digital holographic microscope, and more specifically, to a method and apparatus for testing the performance of software for generating a three-dimensional correction image based on an image captured by a digital holographic microscope. it's about

Currently, a digital holographic microscope is used in various industrial fields to precisely measure a three-dimensional phenomenon of a specific object. In general, a holographic image generated by such a digital holographic microscope may include unnecessary noise information. Accordingly, a post-processing process for the holographic image is required.

Meanwhile, as a post-processing process for a holographic image, image processing may include a plurality of detailed processes. Accordingly, the image processing software may be composed of a combination of algorithms and/or functions for each of a plurality of detailed processes. Also, typically these plurality of algorithms and/or functions are developed separately by different developers. As such, since algorithms are developed in parallel by different developers, there is a problem in that algorithm versions are managed by each developer in chronological order. In addition, when the version of the algorithm is managed by each developer, it is difficult to test the performance of image processing software combining algorithms of various versions.

The present invention provides a hologram pattern analysis software test method of a digital holographic microscope, a computer program stored in a computer readable medium, a computer readable medium and a device (system) in which the computer program is stored to solve the above problems.

The present invention can be implemented in a variety of ways, including a method, an apparatus (system), a computer program stored in a computer readable medium, or a computer readable medium in which a computer program is stored.

According to an embodiment of the present invention, a holographic pattern analysis software test method of a digital holographic microscope performed by at least one processor, (a) performs frequency domain transformation on a holographic image including an object image and a reference image (b) extracting one of a plurality of second algorithms for performing filtering on the frequency domain transformed holographic image; (c) based on the filtered holographic image Extracting one of a plurality of third algorithms for calculating the optical path difference between the object light and the reference light; (d) among a plurality of fourth algorithms for generating a frequency domain field of the corrected image using the calculated optical path difference. and (e) generating a correction image for the input holographic image by combining the algorithms extracted by steps (a) to (d).

According to an embodiment of the present invention, the method further includes performing a performance test corresponding to a combination of algorithms based on the generated corrected image.

According to an embodiment of the present invention, the step of performing a performance test corresponding to a combination of algorithms based on the generated correction image includes memory usage (space complexity), correction image generation speed (time complexity) and and performing a performance test corresponding to the combination of algorithms based on a predetermined performance index including vibration stability.

According to an embodiment of the present invention, steps (a) to (e) are repeatedly performed until a correction image corresponding to a predetermined depth accuracy of a target object associated with a holographic image is generated based on a plurality of algorithm combinations. .

According to an embodiment of the present invention, extracting an algorithm combination having a performance equal to or higher than a predetermined threshold value based on a correction image corresponding to a predetermined depth accuracy of a target object associated with a generated holographic image, and extracting the extracted algorithm combination and determining with holographic pattern analysis software of the digital holographic microscope.

A computer program stored in a computer readable recording medium is provided to execute the above-described method according to an embodiment of the present invention on a computer.

A computing device according to an embodiment of the present invention includes a communication module, a memory, and at least one processor connected to the memory and configured to execute at least one computer-readable program included in the memory. At least one program extracts one of a plurality of first algorithms for performing frequency domain transformation on a holographic image including an object image and a reference image, and performs filtering on the frequency domain transformed holographic image. Extract one of the 2 algorithms, extract one of a plurality of third algorithms for calculating the optical path difference between the object light and the reference light based on the filtered hologram image, and use the calculated optical path difference to calculate the frequency of the corrected image. It includes instructions for extracting one of a plurality of fourth algorithms for generating a domain field and generating a correction image for an input holographic image by combining the extracted algorithms.

In various embodiments of the present invention, the computing device may perform image processing on the holographic image without using the data of the digital holographic microscope as it is, and thus more precise data may be obtained.

In various embodiments of the present invention, the computing device may determine whether the software can produce the best performance when combining certain algorithms, and improve the performance of the hologram pattern analysis software based on the determined result.

The effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned are clear to those skilled in the art (referred to as "ordinary technicians") from the description of the claims. will be understandable.

BRIEF DESCRIPTION OF THE DRAWINGS Embodiments of the present invention will be described with reference to the accompanying drawings described below, wherein like reference numbers indicate like elements, but are not limited thereto.

1 is a block diagram showing an example of a digital holographic microscope device according to an embodiment of the present invention.

2 is a diagram illustrating an example of generating a correction image by a computing device according to an embodiment of the present invention.

3 is a diagram showing an example of the configuration of image processing software according to an embodiment of the present invention.

4 is a diagram showing an example of a hologram pattern analysis software test method of a digital holographic microscope according to an embodiment of the present invention.

5 is a diagram showing an example of a method for determining hologram pattern analysis software according to an embodiment of the present invention.

6 is a block diagram showing an internal configuration of a computing device according to an embodiment of the present invention.

Hereinafter, specific details for the implementation of the present invention will be described in detail with reference to the accompanying drawings. However, in the following description, if there is a risk of unnecessarily obscuring the gist of the present invention, detailed descriptions of well-known functions or configurations will be omitted.

In the accompanying drawings, identical or corresponding elements are given the same reference numerals. In addition, in the description of the following embodiments, overlapping descriptions of the same or corresponding components may be omitted. However, omission of a description of a component does not intend that such a component is not included in an embodiment.

Advantages and features of the disclosed embodiments, and methods of achieving them, will become apparent with reference to the following embodiments in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and can be implemented in various different forms, only these embodiments make the present invention complete and the scope of the invention to those skilled in the art. It is provided only for complete information.

Terms used in this specification will be briefly described, and the disclosed embodiments will be described in detail. The terms used in this specification have been selected from general terms that are currently widely used as much as possible while considering the functions in the present invention, but these may vary depending on the intention or precedent of a person skilled in the related field, the emergence of new technologies, and the like. In addition, in a specific case, there is also a term arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the description of the invention. Therefore, the term used in the present invention should be defined based on the meaning of the term and the overall content of the present invention, not simply the name of the term.

Expressions in the singular number in this specification include plural expressions unless the context clearly dictates that they are singular. Also, plural expressions include singular expressions unless the context clearly specifies that they are plural. When it is said that a certain part includes a certain component in the entire specification, this means that it may further include other components without excluding other components unless otherwise stated.

In the present invention, the terms "comprise", "comprising" and the like may indicate that features, steps, operations, elements and/or components are present, but may be used when such terms include one or more other functions, It is not excluded that steps, actions, elements, components, and/or combinations thereof may be added.

In the present invention, when a specific element is referred to as being “coupled”, “combined”, “connected”, or “reactive” to any other element, the specific element is directly bonded to, combined with, and/or other elements. or may be linked or reacted, but is not limited thereto. For example, one or more intermediate components may exist between certain components and other components. Also, in the present invention, “and/or” may include each of one or more items listed or a combination of at least a part of one or more items.

In the present invention, terms such as "first" and "second" are used to distinguish a specific component from other components, and the aforementioned components are not limited by these terms. For example, the “first” element may have the same or similar shape as the “second” element.

1 is a block diagram showing an example of a digital holographic microscope device 100 according to an embodiment of the present invention. As shown, the light source 110 generates light for observing the target object 160 and may refer to a laser. For example, light irradiated by the light source 110 may pass through the lens and the entire system.

According to an embodiment, light irradiated by the light source 110 may be split into two lights (eg, an object light and a reference light) when the light splitter 120 meets the first light splitter 120 . Also, the two divided lights may pass through the first collimator 130_1 and the second collimator 130_2, respectively. Here, the collimator may refer to a device that makes the incident beam or the incident particle beam parallel.

According to an embodiment, the object light may move to the second light splitter 140 and the reference light may move to the first reflector 150_1. Here, the object light may pass through the objective lens at the rear diaphragm and irradiate the target object 160 . At this time, the object light reflected from the target object 160 may move to the second light splitter 140 again. In addition, the reference light may be reflected from the second reflector 150_2 and the third reflector 150_3 and move to the second light splitter 140 . That is, the object light and the reference light interfere with each other in the second beam splitter 140, and an interference pattern generated by the interference may be recorded in the camera sensor 170.

Here, the interference pattern may be generated in the form of a hologram, and accordingly, a holographic image corresponding to the target object may be generated. The holographic image of the target object 160 generated in this way may be calibrated based on holographic pattern analysis software.

2 is a diagram illustrating an example of generating a correction image 230 by the computing device 200 according to an embodiment of the present invention. According to one embodiment, the computing device 200 may be a device that performs image processing associated with a digital holographic microscope. As shown, the computing device 200 may generate a correction image 230 by receiving a holographic image 220 based on the image processing software 210 .

Here, the image processing software 210 may be any software for removing noise included in the holographic image 220 and correcting the image to a clearer image and/or an image in which a specific region is emphasized, and a combination of a plurality of algorithms. can be configured. Also, the hologram image 220 may include an object image and a reference image. In other words, the hologram image 220 may include an object hologram and a reference hologram.

According to an embodiment, the computing device 200 receives the holographic image 220 and performs a Fast Fourier Transform (FFT) on the received holographic image 220 to transform a spatial domain. It can be converted to the spatial frequency domain. For example, the computing device 200 may convert a hologram signal of object light associated with an object image into a frequency domain and convert a hologram signal of reference light associated with a reference image into a frequency domain.

The computing device 200 may perform filtering on the hologram signal converted to the frequency domain. For example, the computing device 200 may block a signal of a specific frequency included in a hologram signal (eg, a hologram signal of object light and a hologram signal of reference light) by using a band pass filter. Here, the specific frequency may be predetermined and may be a frequency associated with noise included in the hologram signal. After removing noise through filtering as described above, the computing device 200 may convert the spatial frequency domain into the spatial domain again by performing an inverse fast Fourier transform on the hologram signal.

According to an embodiment, the computing device 200 averages the brightness values of the spatial domain of the object light and the spatial domain of the reference light to standardize the overall brightness, and obtains an optical path difference (phase) between the object light and the reference light. . For example, since the brightness value in the spatial domain is determined to be high (bright) when the light path difference is an even number and low (dark) when the light path difference is an odd number, the computing device 200 fixes the length of the reference light and uses the brightness value in the spatial domain as a standard. The optical path difference can be obtained or calculated with

According to an embodiment, the computing device 200 may generate a new frequency domain field of the corrected image 230 by using the obtained optical path difference. Then, the computing device 200 may extract a new phase obtained by subtracting the phase of the reference light from the object light in the generated new frequency domain field. For example, the computing device 200 may extract a new phase obtained by subtracting the phase of the reference light from the phase of the normalized object light using a predetermined phase extraction algorithm and/or a machine learning model. In this case, the computing device 200 may reconstruct the phase information by removing the phase discontinuity and estimating the actual phase value. In addition, a final corrected image 230 may be generated by removing a background.

As described above, the computing device 200 may generate a correction image 230 corresponding to the holographic image 220 using the image processing software 210 . In addition, the image processing software 210 may be composed of a plurality of algorithm combinations for performing the above-described process. Here, each algorithm constituting the algorithm combination may be separately developed or version-up and included in the image processing software 210 . With this configuration, the computing device 200 can perform image processing on the holographic image 220 without using the data of the digital hologram microscope as it is, and thus more precise data can be obtained.

Figure 3 is a diagram showing an example of the configuration of the image processing software 210 according to an embodiment of the present invention. As shown, the image processing software 210 may be composed of a combination of a plurality of algorithms each performing independent functions. For example, the image processing software 210 performs one of a plurality of first algorithms 310 performing frequency domain transformation on a holographic image including an object image and a reference image and filtering on the frequency domain transformed holographic image. One of the plurality of second algorithms 320 performed, one of the plurality of third algorithms 330 calculating the optical path difference between the object light and the reference light based on the filtered hologram image, using the calculated optical path difference It may be configured to include one of a plurality of fourth algorithms 340 for generating a frequency domain field of a corrected image by performing a correction. That is, the image processing software 210 may be software for generating the corrected image 350 by using a combination of a plurality of algorithms.

According to one embodiment, some of the plurality of algorithms constituting the image processing software 210 may be replaced or replaced. That is, when a new version of the algorithm is developed, the corresponding part of the algorithm may be replaced to configure the image processing software 210 . In this case, the quality of the corrected image 350 generated according to the changed image processing software 210 may be differently determined. In other words, the quality of the corrected image 350 generated may be differently determined according to the performance of the algorithm combination.

According to an embodiment, the computing device (200 in FIG. 2 ) includes a plurality of first algorithms 310 , a plurality of second algorithms 320 , a plurality of third algorithms 330 , and a plurality of fourth algorithms 340 . We can create algorithm combinations by extracting one algorithm from each of the . Also, the computing device may generate a plurality of algorithm combinations having different configurations. For example, the computing device may randomly generate a plurality of algorithm combinations, but is not limited thereto, and may generate a plurality of algorithm combinations based on a user input received from a user terminal. In this case, the computing device may perform a performance test for each of the plurality of algorithms.

According to one embodiment, each algorithm may be stored and managed on a separate database. For example, when developers develop a new algorithm or update a previous algorithm, the corresponding algorithm can be provided and stored in a database. That is, the computing device may construct an algorithm combination by extracting an algorithm from the database. For example, the computing device may generate an algorithm combination when a new (versioned-up) algorithm is stored in a database or generate an algorithm combination when a separate input is received from an arbitrary user.

According to an embodiment, the performance test may be determined as a predetermined performance index including depth precision of the target object, speed of generating the corrected image, and vibration stability based on the quality of the corrected image. Here, the depth precision is a value indicating how accurate the internal depth of the target object can be measured, and the correction image generation speed may indicate the time required to generate the correction image 350 from the hologram image. In addition, the vibration stability may be a value indicating whether a hologram image can be measured with a degree of accuracy in response to a minute external shock. The performance index is not limited to indexes of depth accuracy, correction image generation speed, and vibration stability, and may further include indexes for computing resources required for image processing.

After the performance test is performed, the computing device may extract an algorithm combination having a performance equal to or higher than a predetermined threshold based on the generated plurality of correction images, and determine the extracted algorithm combination with holographic pattern analysis software of the digital holographic microscope. there is. Here, the predetermined threshold may be determined as a result of a performance test of the hologram analysis software determined in advance, but is not limited thereto, and may be determined and/or replaced with the highest value among the result values of the performance test so far.

Additionally or alternatively, the computing device may generate a performance ranking list indicating a performance ranking of each algorithm combination through a performance test. The performance ranking list thus generated may be transmitted to any user terminal associated with the computing device. In this case, the user of the user terminal can check the performance test result of each algorithm combination included in the performance ranking list and select a specific algorithm combination by touch input. In this case, the computing device may receive an input for a specific algorithm combination from the user terminal, and determine hologram pattern analysis software of the digital holographic microscope based on the received input.

In FIG. 3 , it has been described above that the image processing software 210 is determined based on the first to fourth algorithms 310 to 340, but is not limited thereto, and the image processing software 210 may use any number of divided algorithms. can be made up of combinations. With this configuration, the computing device can determine whether the software can produce the best performance when combining certain algorithms, and improve the performance of the hologram pattern analysis software based on the determined result.

4 is a diagram showing an example of a hologram pattern analysis software test method 400 of a digital holographic microscope according to an embodiment of the present invention. The hologram pattern analysis software test method 400 may be performed by at least one processor (eg, at least one processor of a computing device). The hologram pattern analysis software test method 400 may be initiated by a processor extracting or determining a plurality of algorithms constituting the hologram pattern analysis software.

According to an embodiment, the processor may extract one of a plurality of first algorithms performing frequency domain transformation on a holographic image including an object image and a reference image (S410). In addition, the processor may extract one of a plurality of second algorithms for performing filtering on the frequency domain-converted holographic image (S420).

Then, the processor may extract one of a plurality of third algorithms for calculating an optical path difference between the object light and the reference light based on the filtered holographic image (S430). In addition, the processor may extract one of a plurality of fourth algorithms for generating a frequency domain field of the corrected image using the calculated optical path difference (S440).

The processor may generate a correction image for the input holographic image by combining the extracted algorithms. In this case, the processor may repeatedly perform the above-described process until correction images of a predetermined number or more are generated based on a combination of a plurality of algorithms. For example, the processor may generate a corrected image by extracting all combinations of algorithms included in the first to fourth algorithms, but is not limited thereto, and the processor may generate a specific number of algorithms included in the first to fourth algorithms. A corrected image may be generated by extracting the above combinations.

Also, the processor may perform a performance test corresponding to a combination of algorithms based on the generated corrected image. For example, the processor may perform a performance test corresponding to a combination of algorithms based on predetermined performance indicators including depth accuracy of an object associated with a holographic image, correction image generation speed, and vibration stability.

5 is a diagram showing an example of a hologram pattern analysis software determination method 500 according to an embodiment of the present invention. The hologram pattern analysis software determination method 500 may be performed by at least one processor (eg, at least one processor of a computing device). The holographic pattern analysis software determination method 500 may be initiated by a processor combining algorithms to generate a correction image for an input holographic image (S510).

The above-described process may be repeatedly performed with a combination of different algorithms, and the processor may determine whether a corrected image matching the depth accuracy of the object related to the holographic image is generated (S520). When it is determined that a corrected image that meets the depth accuracy is not generated, the processor may generate a corrected image using another algorithm combination. When a corrected image matching the depth accuracy of the object is generated through the above process, the processor may perform a performance test corresponding to the algorithm combination (S530). As described above, the performance test may be performed based on predetermined performance indicators including memory usage (space complexity), correction image generation speed (time complexity), and vibration stability according to algorithm combinations.

As a result of the performance test, the processor may determine whether a specific algorithm combination has performance equal to or greater than a predetermined threshold value (S540). Here, the threshold value may be determined as a result value of a performance test of the hologram analysis software determined in advance, but is not limited thereto, and may be determined and/or replaced with the highest value among the result values of the performance test so far. Then, the processor may determine an algorithm combination having a performance equal to or higher than a predetermined threshold value using the new holographic pattern analysis software of the digital holographic microscope (S550).

6 is a block diagram showing an internal configuration of a computing device 200 according to an embodiment of the present invention. The computing device 200 may include a memory 610 , a processor 620 , a communication module 630 and an input/output interface 640 . As shown in FIG. 6 , the computing device 200 may be configured to communicate information and/or data over a network using a communication module 630 .

Memory 610 may include any non-transitory computer readable storage medium. According to one embodiment, the memory 610 is a non-perishable mass storage device (permanent mass storage device) such as random access memory (RAM), read only memory (ROM), disk drive, solid state drive (SSD), flash memory, and the like. mass storage device). As another example, a non-perishable mass storage device such as a ROM, SSD, flash memory, disk drive, etc. may be included in the computing device 200 as a separate permanent storage device separate from memory. Also, an operating system and at least one program code may be stored in the memory 610 .

These software components may be loaded from a computer-readable recording medium separate from the memory 610 . A recording medium readable by such a separate computer may include a recording medium directly connectable to the computing device 200, for example, a floppy drive, a disk, a tape, a DVD/CD-ROM drive, a memory card, etc. It may include a computer-readable recording medium. As another example, software components may be loaded into the memory 610 through the communication module 630 rather than a computer-readable recording medium. For example, at least one program may be loaded into the memory 610 based on a computer program installed by files provided by developers or a file distribution system that distributes application installation files through the communication module 630. can

The processor 620 may be configured to process commands of a computer program by performing basic arithmetic, logic, and input/output operations. Commands may be provided to a user terminal (not shown) or other external system by the memory 610 or the communication module 630 .

The communication module 630 may provide a configuration or function for a user terminal (not shown) and the computing device 200 to communicate with each other through a network, and the computing device 200 may provide an external system (for example, a separate cloud system). etc.) may provide a configuration or function to communicate with. For example, control signals, commands, data, etc. provided under the control of the processor 620 of the computing device 200 are transmitted through the communication module 630 and the network to the user terminal and/or the user terminal through the communication module of the external system. and/or transmitted to an external system.

Also, the input/output interface 640 of the computing device 200 may be connected to the computing device 200 or may be a means for interface with a device (not shown) for input or output that may be included in the computing device 200. . In FIG. 6 , the input/output interface 640 is illustrated as an element separately configured from the processor 620 , but is not limited thereto, and the input/output interface 640 may be included in the processor 620 . Computing device 200 may include many more components than those of FIG. 6 . However, there is no need to clearly show most of the prior art components.

The processor 620 of the computing device 200 may be configured to manage, process, and/or store information and/or data received from a plurality of user terminals and/or a plurality of external systems.

The above-described methods and/or various embodiments may be realized with digital electronic circuits, computer hardware, firmware, software, and/or combinations thereof. Various embodiments of the present invention may be performed by a data processing device, eg, one or more programmable processors and/or one or more computing devices, or as a computer readable recording medium and/or a computer program stored on a computer readable recording medium. can be implemented The above-described computer programs may be written in any form of programming language, including compiled or interpreted languages, and may be distributed in any form, such as a stand-alone program, module, or subroutine. A computer program may be distributed over one computing device, multiple computing devices connected through the same network, and/or distributed over multiple computing devices connected through multiple different networks.

The methods and/or various embodiments described above may be performed by one or more processors configured to execute one or more computer programs that process, store, and/or manage any function, function, or the like, by operating on input data or generating output data. can be performed by For example, the method and/or various embodiments of the present invention may be performed by a special purpose logic circuit such as a Field Programmable Gate Array (FPGA) or an Application Specific Integrated Circuit (ASIC), and the method and/or various embodiments of the present invention may be performed. Apparatus and/or systems for performing the embodiments may be implemented as special purpose logic circuits such as FPGAs or ASICs.

The one or more processors executing the computer program may include a general purpose or special purpose microprocessor and/or one or more processors of any kind of digital computing device. The processor may receive instructions and/or data from each of the read-only memory and the random access memory, or receive instructions and/or data from the read-only memory and the random access memory. In the present invention, components of a computing device performing methods and/or embodiments may include one or more processors for executing instructions, and one or more memory devices for storing instructions and/or data.

According to one embodiment, a computing device may exchange data with one or more mass storage devices for storing data. For example, a computing device may receive/receive data from and transfer data to a magnetic or optical disc. A computer-readable storage medium suitable for storing instructions and/or data associated with a computer program includes semiconductor memory devices such as Erasable Programmable Read-Only Memory (EPROM), Electrically Erasable PROM (EEPROM), and flash memory devices. Any type of non-volatile memory may be included, but is not limited thereto. For example, computer readable storage media may include magnetic disks such as internal hard disks or removable disks, magneto-optical disks, CD-ROM and DVD-ROM disks.

To provide interaction with a user, a computing device includes a display device (eg, a cathode ray tube (CRT), a liquid crystal display (LCD), etc.) It may include a pointing device (eg, a keyboard, mouse, trackball, etc.) capable of providing input and/or commands to, but is not limited thereto. That is, the computing device may further include any other type of device for providing interaction with a user. For example, a computing device may provide any form of sensory feedback to a user for interaction with the user, including visual feedback, auditory feedback, and/or tactile feedback. In this regard, the user may provide input to the computing device through various gestures such as visual, voice, and motion.

In the present invention, various embodiments may be implemented in a computing system including a back-end component (eg, a data server), a middleware component (eg, an application server), and/or a front-end component. In this case, the components may be interconnected by any form or medium of digital data communication, such as a communication network. For example, the communication network may include a local area network (LAN), a wide area network (WAN), and the like.

A computing device based on the example embodiments described herein may be implemented using hardware and/or software configured to interact with a user, including a user device, user interface (UI) device, user terminal, or client device. can For example, the computing device may include a portable computing device such as a laptop computer. Additionally or alternatively, the computing device may include personal digital assistants (PDAs), tablet PCs, game consoles, wearable devices, internet of things (IoT) devices, virtual reality (VR) devices, AR (augmented reality) device, etc. may be included, but is not limited thereto. A computing device may further include other types of devices configured to interact with a user. Further, the computing device may include a portable communication device (eg, a mobile phone, smart phone, wireless cellular phone, etc.) suitable for wireless communication over a network, such as a mobile communication network. A computing device communicates wirelessly with a network server using wireless communication technologies and/or protocols such as radio frequency (RF), microwave frequency (MWF) and/or infrared ray frequency (IRF). It can be configured to communicate with.

The various embodiments herein, including specific structural and functional details, are exemplary. Accordingly, the embodiments of the present invention are not limited to those described above and may be implemented in many different forms. In addition, terms used in the present invention are for describing some embodiments and are not construed as limiting the embodiments. For example, the singular and the above may be construed to include the plural as well, unless the context clearly dictates otherwise.

In the present invention, unless defined otherwise, all terms used in this specification, including technical or scientific terms, have the same meaning as commonly understood by a person of ordinary skill in the art to which such concept belongs. . In addition, terms commonly used, such as terms defined in a dictionary, should be interpreted as having a meaning consistent with the meaning in the context of the related technology.

Although the present invention has been described in relation to some embodiments in this specification, various modifications and changes can be made without departing from the scope of the present invention that can be understood by those skilled in the art. Moreover, such modifications and variations are intended to fall within the scope of the claims appended hereto.

Claims

A holographic pattern analysis software test method of a digital holographic microscope performed by at least one processor,

(a) extracting one of a plurality of first algorithms performing frequency domain transformation on a holographic image including an object image and a reference image;

(b) extracting one of a plurality of second algorithms for performing filtering on the frequency domain-converted holographic image;

(c) extracting one of a plurality of third algorithms for calculating an optical path difference between an object light and a reference light based on the filtered holographic image;

(d) extracting one of a plurality of fourth algorithms for generating a frequency domain field of a corrected image using the calculated optical path difference; and

(e) generating a correction image for the input holographic image by combining the algorithms extracted through steps (a) to (d);

Hologram pattern analysis software test method of a digital holographic microscope comprising a.
According to claim 1,

performing a performance test corresponding to a combination of the algorithms based on the generated corrected image;

Holographic pattern analysis software test method of a digital holographic microscope further comprising a.
According to claim 1,

Performing a performance test corresponding to the combination of the algorithms based on the generated correction image,

performing a performance test corresponding to a combination of the algorithms based on predetermined performance indicators including memory usage according to the combination of algorithms, correction image generation speed, and vibration stability;

Holographic pattern analysis software test method of a digital holographic microscope comprising a.
According to claim 1,

Steps (a) to (e) are repeatedly performed based on a combination of a plurality of algorithms until a correction image corresponding to a predetermined depth accuracy of the target object associated with the holographic image is generated. Analytical software testing methods.
According to claim 4,

extracting an algorithm combination having performance equal to or greater than a predetermined threshold value based on a corrected image corresponding to a predetermined depth accuracy of a target object associated with the holographic image; and

determining the extracted algorithm combination with holographic pattern analysis software of the digital holographic microscope;

Holographic pattern analysis software test method of a digital holographic microscope further comprising a.
A computer program stored in a computer readable recording medium to execute the method according to claim 1 on a computer.
As a computing device,

communication module;

Memory; and

at least one processor connected to the memory and configured to execute at least one computer readable program included in the memory;

including,

The at least one program,

Extracting one of a plurality of first algorithms for performing frequency domain transformation on a holographic image including an object image and a reference image;

Extracting one of a plurality of second algorithms for performing filtering on the frequency domain transformed holographic image;

Extracting one of a plurality of third algorithms for calculating an optical path difference between an object light and a reference light based on the filtered holographic image;

Extracting one of a plurality of fourth algorithms for generating a frequency domain field of a correction image using the calculated optical path difference;

A computing device comprising instructions for generating a correction image for an input holographic image by combining the extracted algorithms.