KR101602692B1 - Apparatus and method for image processing to investigate pulse marking - Google Patents

Abstract

The image processing apparatus includes a detector for detecting a scattering point at which light generated from a marker attached to a great-valley region is scattered in a great-valley region image, at least one guideline for measuring a mac is presented in the large- And an estimator for estimating a pulse wave position in the curve image using the first actual distance from the curve to the curve portion and the detected scattering point.

Description

[0001] APPARATUS AND METHOD FOR IMAGE PROCESSING TO INVESTIGATE PULSE MARKING [0002]

The present invention relates to an image processing apparatus and method, and more particularly, to an image processing apparatus and method for estimating a great-valley position using a great-valley region image.

The Oriental Medicine Diagnosis Act can be composed of four major methods. The above four methods are an examination, an examination, a diagnosis, and an examination. The method of detecting the pulse wave pulsation and deducing the condition of the disease is the pulse method belonging to the ejaculation.

Pulse characteristics that are important in the pulse method are various characteristics such as the intensity of the pulse, the depth of the pulse, the pulse rate of the pulse, and the roughness of the pulse. In order to measure the characteristics of pulsation, we need a technique that can accurately measure the pulse.

The prior art (Korean Patent Registration No. 1033416) discloses a pulse diagnosis system and pulse diagnosis method. Specifically, the pulse sensor attached to the robot finger of the pulse machine can determine the pulse result with respect to the extracted pulse signal. In addition, it provides a method for diagnosing pulse that can help precise blood vessels by assisting blood vessels which are aimed at measuring the function of the fivefold muscle.

In order to search for the portion of the curve, it can be searched by touching with a hand or by using a measurement sensor.

The method of searching with the tactile touch by hand is to search the point where the vein is detected by pressing the point of the village, the tube, and the chuck by the traditional method. The searched point can be displayed on the skin as a pen point with a pen.

Such a hand-based method has a relatively short search time and can be detected delicately. However, it is difficult to correct a mark displayed with a pen, and an error may occur between a position at which the curve position is found and a position at which the pen is displayed.

Therefore, there is a need for an apparatus and method for accurately estimating the crest position, which can display a crest position using a marker and a guideline.

According to an aspect of the present invention, there is provided a detection unit for detecting a scattering point at which light generated from a marker attached to a great-valley region is scattered in a great-valley region image, wherein at least one guideline for measuring a mac is presented at the great-valley region; And an estimator for estimating a pulse wave position in the curve image using the first actual distance from the marker to the curve portion and the detected scattering point.

According to an embodiment, the detection unit may detect the guideline from the coronal region image.

According to another embodiment, the estimating unit may estimate the curve position based on the detected guide line and the first actual distance.

According to another embodiment, the detecting unit may detect a high intensity pixel with a threshold value or more as a candidate pixel and detect the guideline on the basis of the detected candidate pixel, .

Here, the detection unit may detect the guideline by performing a fitting operation on the detected candidate pixel.

Specifically, the detection unit may move the window for detecting the scattering point on the guide line, and may detect the scattering point using the distance between the fitting pixel on the guide line and the candidate pixel.

The estimator may include: a calculator that detects a start point and an end point of the scattering point and calculates a first scattering distance that is a distance between the start point and the end point; And a correction unit that corrects the first scattering distance using the distance between the guide lines.

According to one embodiment, the estimating unit may correct the first actual distance based on a relationship between the scattering point and the size of the marker.

According to another embodiment, the estimating unit may estimate the curve position based on the corrected first actual distance and the guide line.

The estimating unit may estimate the first point on the guide line spaced apart from the detected scattering point by the corrected estimated distance as the valley position.

According to another embodiment of the present invention, the apparatus may further include a sensor unit for measuring the vein in the vein region.

The control unit may further include a control unit for controlling the sensor unit to move to the elevation position using the estimated elevation position.

According to one embodiment, the guideline may guide the detection of a site, a tube, and a chuck area for the site.

According to another aspect of the present invention, there is provided a method of detecting a scattering point at which light generated from a marker attached to a vein region is scattered in a vein region image, wherein at least one guideline for measuring a vein is presented at the vein region -; And estimating a pulse wave position in the pulse wave region image using the first actual distance from the marker to the pulse wave region and the detected scattering point.

According to an embodiment, the detecting unit may further include detecting the guideline from the atrio-region image.

According to another embodiment, the estimating unit may further include estimating the corrugation position based on the detected guideline and the first actual distance.

Here, the step of detecting the guideline may include detecting the high intensity pixel having a threshold value or more as a candidate pixel in the vein region image, and detecting, based on the detected candidate pixel, May be detected.

The detection of the guideline may be performed by the detection unit performing a fitting operation on the detected candidate pixel to detect the guideline.

According to one embodiment, the step of detecting the scattering point may include a step of moving the window for detecting the scattering point on the guide line, and using the distance between the fitting pixel on the guide line and the candidate pixel And detecting the scattering point.

According to another embodiment, the estimating unit may further include a step of correcting the first actual distance based on a relationship between the scattering point and the size of the marker.

Here, the estimation of the corn position may be performed by estimating the corn position based on the corrected first actual distance and the guideline.

According to another aspect of the present invention, there is provided a computer-readable recording medium having recorded thereon a program for executing an image processing method, the image processing method comprising the steps of: Detecting scattered scattering points, wherein at least one guideline for measuring a Mac is presented at the great-valley region; And estimating a cornucopia position in the corpus area image using the first actual distance from the marker to the corpus area and the detected scattering point.

1 is a block diagram of an image processing apparatus according to an embodiment of the present invention.
2 is a flow diagram of a method for measuring a Mac, in accordance with an embodiment of the present invention.
3 is a flowchart of an image processing method according to an embodiment of the present invention.
4 is an exemplary diagram illustrating a guideline on a user's arm, in accordance with an embodiment of the present invention.
Figure 5 is a detailed view of the front and back sides of the marker according to one embodiment of the present invention.
FIG. 6 is a diagram illustrating a process of attaching a marker to a corner portion of a user according to an embodiment of the present invention.
7 is an exemplary view showing a marker attached on a guideline according to an embodiment of the present invention.
8 is an exemplary diagram for estimating a coronal position by performing image processing according to an embodiment of the present invention.
FIG. 9 is a view illustrating a process of estimating a corridor position by performing image processing according to another embodiment of the present invention.

In the following, some embodiments will be described in detail with reference to the accompanying drawings. However, it is not limited or limited by these embodiments. Like reference symbols in the drawings denote like elements.

Although the terms used in the following description have selected the general terms that are widely used in the present invention while considering the functions of the present invention, they may vary depending on the intention or custom of the artisan, the emergence of new technology, and the like.

Also, in certain cases, there may be terms chosen arbitrarily by the applicant for the sake of understanding and / or convenience of explanation, and in this case the meaning of the detailed description in the corresponding description section. Therefore, the term used in the following description should be understood based on the meaning of the term, not the name of a simple term, and the contents throughout the specification.

Hereinafter, the image processing apparatus and the image processing method will be described in detail.

1 is a block diagram of an image processing apparatus according to an embodiment of the present invention.

According to one embodiment, the image processing apparatus 100 may control the pulse sensor of the user (patient) to automatically move to the pulse wave position when measuring the pulse of the user (patient) using the pulse generator. In this case, the point can be at least one point on a village, a village, or a chalk. The name of the village is divided into three parts. The place where the radial bone protrudes is the 关, the front of the tube is the village, and the back of the tube is the 尺. The pulsation of the three parts of the villages is called a pulse, a vein, and a pulse.

The image processing apparatus 100 can estimate a pulse point using a guideline. Here, the guideline may be a laser irradiated on a user's arm to detect a village, a pipe, and a chuck, and may be composed of a plurality of lines in one embodiment. The image processing apparatus 100 can simultaneously acquire points for a village, a tube, and a chuck by performing an image processing using a marker in a localized region image.

Here, the image processing apparatus 100 may be implemented as an external device separately from the pulse generator, or may be embedded in the pulse generator. Therefore, not only the case where the image processing apparatus 100 is included in the pulse machine, but also the case where the image processing apparatus 100 is physically implemented outside the pulse machine is not excluded from the spirit of the present invention.

The image processing apparatus 100 of the present invention may include a detection unit 110 and an estimation unit 120. Here, the detection unit 110 can detect a scattering point at which light is scattered in the deep-vein region image. The Maxim region image may be an image including the user's maxima. For example, the image processing apparatus 100 may include a photographing unit (not shown) to capture an image including a user's great-grandchild and acquire a great-mass-region image. Alternatively, the image processing apparatus 100 may receive an enlarged region image including a user's largest area stored in a storage unit (not shown).

The Maxwell region image may contain scattering points. The user can attach a marker to a point on the curve portion. Here, the marker may be composed of a material that causes scattering. In one embodiment, the marker may be attached a distance away from the corner portion. Markers attached to the Maxwellian region may scatter natural light or laser. Accordingly, the Maxim site image may include scattering points. The detection unit 110 can detect a scattering point from a massive region image, and the detection process will be described in more detail later.

The estimating unit 120 may estimate the position of a vein in a vein region image.

According to one embodiment, the estimating unit 120 can estimate the coronal position using the first actual distance from the portion of the marker to which the scattering material or the reflective material is applied to the curve portion, and the scattering point detected in the curve portion image have.

In addition, at least one guideline for measuring a Mac may be presented at the Maxwell site. For example, at least one guideline may be presented on a surface that includes the user's cuff. The guideline according to one embodiment may be presented in a laser-irradiated form on the user's surface.

The detection unit 110 can detect a guideline from a great-mass-portion image. For example, the detection unit 110 may detect a point where a laser-shaped guideline is irradiated on a great-number-portion image. The configuration in which the detection unit 110 detects the guideline will be described later in more detail.

The estimating unit 120 can estimate the position of the curve on the curve-segment image based on the detected guide line and the first actual distance. Where the first actual distance is the distance from the portion of the marker where the scattering material or reflective material is applied to the edge of the marker. That is, the first actual distance is not the distance from the deep region image but the distance from the portion of the marker attached to the actual user to the deep point from the portion where the reflective material is applied.

According to one embodiment, the estimation unit 120 may include a calculation unit and a correction unit. The calculation unit can detect the start point and the end point of the scattering point and calculate the first scattering distance which is the distance between the start point and the end point. The correction unit can correct the first scattering distance using the distance between the guide lines. The contents of correcting the first scattering distance are described in Fig.

According to another embodiment, the estimating unit 120 corrects the first actual distance based on the relationship between the scattering point and the size of the marker, and estimates the artery position based on the corrected first actual distance and the guideline .

In addition, the image processing apparatus 100 may further include a sensor unit for measuring an estimated vein area. And a control unit for controlling the sensor unit to move to a position of a maximum value. More specifically, the image processing apparatus 100 can determine the first position in the curve portion image corresponding to the current position of the sensor portion. In addition, the image processing apparatus 100 can determine a motion vector from the determined first position to the edge position. The image processing apparatus 100 can output the sensor unit movement control signal based on the determined movement vector so that the sensor unit can be controlled so as to be moved to the corner position.

Hereinafter, various operations and applications performed by the image processing apparatus will be described. Even if the configuration of the detecting unit, the estimating unit, the calculating unit, and the correcting unit is not specified, it is possible for a person skilled in the art to clearly understand and predict And the scope of the present invention is not limited by the name of the specific configuration or the physical / logical structure.

2 is a flow diagram of a method for measuring a Mac, in accordance with an embodiment of the present invention.

Step 210 is a step where the user (or patient) places the arm on the pulse machine and the pulse machine presents the guide line on the user's arm. The guide line can be presented to draw a pulse. In this case, the arm can be fixed in the pulse machine to draw the user's pulse.

Step 220 is a step of marking with a marker near the valley. The oriental doctor can put the user's mac around the guideline. Once the oriental doctor finds a Mac, it can display a marker position by marking it near the edge.

Step 230 is a step of estimating a square root position through image processing. The image processing apparatus can estimate the position of the crest using the user's crest region image. The marker is coated with a scattering material or a reflecting material so that natural light or laser can be scattered or reflected. The image processing apparatus can detect the scattering point in the image through the image processing of the image of the scattering or reflection environment described above. And the image processing apparatus can estimate the crest position based on the detected scattering point. The image processing method is described in Fig.

Step 240 is the step of measuring the pulse of the pulse. Image processing can be used to estimate the position of a vein in a vein region image and move the sensor to a vein position. Once the sensor is positioned at the user's Maxwell position, the sensor can measure the user's Mac.

3 is a flowchart of an image processing method according to an embodiment of the present invention.

The image processing apparatus can estimate the position of a vein in a vein region image. The procedure for estimating the curve position is as follows.

Step 310 is a step of determining the position of the candidate pixel detection and the guideline in the maximal region image.

In the Maxwell region image, the detection unit can detect a high intensity pixel with a threshold value or more as a candidate pixel. Candidate pixels may also include noise pixels. The guiding line can be detected using the detected candidate pixels. The detecting unit may perform a fitting operation on the detected candidate pixel to detect the guideline. The detection unit can acquire a fitting pixel as a result of the fitting operation for the candidate pixel, and can detect the acquired fitting pixel as a guideline.

Step 320 is a step of searching for a scattering point using a window.

The detection unit moves a window of a predetermined size for detecting a scattering point on the guide line and can detect the scattering point using the distance between the fitting pixel on the guide line and the candidate pixel.

According to one embodiment, when moving a window along a fitting pixel, an area where a lot of candidate pixels are detected can be detected as a scattering point.

According to another embodiment, the distance to the candidate pixel existing in the window with respect to the fitting pixel is determined, and when the distance is larger than half of the window area, it can be determined that there are many candidate pixels with large errors with respect to the fitting pixel. If there are a large number of candidate pixels with large errors, it can be determined as a scattering point.

Step 330 is a step of calculating the scattering distance and correcting the scattering distance. When the scattering point is detected, the scattering distance can be calculated using the starting point and the ending point of the scattering point. In addition, the scattering distance can be corrected by using the interval between the guide lines. The content of correcting the scattering distance is described in Fig.

Step 340 is a step of estimating a position of a vein in the coronal image.

The actual position of the marker from the point of application of scattering material to the position of the vein and the interval between the guidlines can be used to estimate the position of the vein in the vein image.

4 is an exemplary diagram illustrating a guideline on a user's arm, in accordance with an embodiment of the present invention.

On the arm of the user (patient), a guideline may be presented on the curve portion for measuring the pulse. Here, the guideline may include a plurality of subguide lines. The light source can output a laser to present a guideline on the user's arm. In the case of outputting to the laser, if the light source is distant from the user's arm, the interval of the sub guide lines can be widened.

According to one embodiment, the guideline may be presented via a laser. Guidelines may be presented that correspond to village, village, and chalk. Guidelines can be presented at regular intervals. Since the length of the arms is different for each user (or patient), the spacing of the guideline may be different for each user (or patient).

As shown in FIG. 4, the line 411 at the top of the sub-guide lines may correspond to the village. The middle line 412 of the sub-guide lines may correspond to the tube. Further, the line 413 at the bottom of the sub-guide lines may correspond to the chuck. Here, although the sub-guide line is composed of three lines, it may be composed of at least one line to grasp other physical conditions of the user.

According to one embodiment, the spacing of the sub-guide lines corresponds to the y-axis value, and if the spacing of the lines is adjusted, the y-axis value can also be changed. The guideline can be presented so that the oriental medical practitioner can refer to the y-axis standard of the village, the kan, and the chuck. When a guideline is presented to detect villages, ducts, chucks, the oriental doctor can detect where the girth position is in the x-axis direction. Once the doctor's position is detected, the doctor can display the marker position using the marker. When the marker position is indicated by a marker, the image processing apparatus can control the position of the sensor for measuring the pulse position on the pulse position through the image processing.

According to one embodiment, the guideline may be provided as a laser. Due to the strong color intensity of the laser, it is possible to recognize a clear shape during image processing, to detect the scattering point by the shape information on the laser, and accurately estimate the position of the curve.

Fig. 5 is a detailed view of a front surface and a back surface of a sticker including a marker according to an embodiment of the present invention.

According to one embodiment, the oriental doctor may mark the marker position with respect to the user's Mac. When displayed as a marker, the pulse wave position is accurately estimated through image processing, and the sensor can measure the pulse wave.

According to one embodiment, Figure 510 shows a front side of a sticker that includes a marker. The sticker has a hole 511 through which the oriental doctor can directly contact the user's skin to find the vein. An adhesive material may be applied to the outer portion 512 of the hole so that the doctor can attach the sticker to the finger. Further, there is a marker 513 processed so that light can be scattered. The portion processed to be scattered can scatter light incident from the light source. The image processing apparatus can detect the scattering point through scattering. The first actual distance from the marker to the great-valley region and the detected scattering point can be used to estimate the true-valley position in the great-valley region image.

According to one embodiment, Figure 520 shows the back side of a sticker that includes a marker. An adhesive material may be applied to the back surface of the portion to which the scattering material is applied so that the marker can be attached to the skin. The adhesive material may not be applied to the back side of the portion where the scattering material is not applied. In addition, the sticker can be processed so as to be able to cut the boundary between the portion where the scattering material is applied and the portion where the scattering material is not applied.

According to one embodiment, Figure 530 shows a doctor's hand with a sticker attached to the hand. The oriental medicine doctor can detect the user's strength through the hole 531 and can attach to the user's arm using the portion 532 coated with the adhesive material.

FIG. 6 is a diagram illustrating a process of attaching a marker to a corner portion of a user according to an embodiment of the present invention.

According to one embodiment, when a marker is attached on a user's arm, the image processing apparatus can estimate a pulse wave position using a scattering point.

The light source can present guidelines for the village, tube, and chuck on the user's arm. The guideline may include a plurality of sub-guideline lines. The intervals of the sub-guide lines can be set differently for each user.

When a guideline is presented, the oriental doctor can detect the Mac on the user's arm around the guideline. At this time, the oriental doctor can attach a marker to the hand to draw a vein. Once the oriental medicine doctor finds the cardiopulmonary position 611, 621, 631, the marker can be attached to the arm of the user (or the pulse site). The description of the marker is given in Fig.

When the marker is attached, the image processing apparatus can detect scattering points (612, 622, 632) scattered in the marker in the massive region image. The image processing apparatus can detect a scattering point by inducing a change in light (or laser) scattered on the surface of the marker.

According to one embodiment, the image processing apparatus can estimate the corrugated position by displaying the scattering point on the x-axis coordinate and calculating the distance from the scattering point to the corrugation position.

The image processing apparatus can estimate the position of a vein in a vein region image using the first actual distance from the portion of the marker to which the scattering material is applied to the vein region and the detected scattering point. The process of estimating the position of a vein in a Maxim region image will be described in detail with reference to FIG.

7 is an exemplary view showing a marker attached on a guideline according to an embodiment of the present invention.

According to one embodiment, Figure 710 is an exemplary side view of attaching a marker to a corner position detected by a oriental doctor on a guideline.

The oriental doctor can attach the marker to the hand and detect the position of the vein. The front part of the 711 is coated with scattering material and can be scattered when receiving light (or laser). The image processing apparatus can detect the scattering point by inducing a change in the image due to the scattering. There is adhesive material on the back of 711, so you can attach and fix the markers on the user's corner.

According to one embodiment, FIG. 720 is an exemplary diagram in which, when the marker is affixed on the user's arm, the portion for leaving the portion 711 and for detecting the crest position is removed. When a doctor's doctor detects the arterial blood vessel position 722 and attaches the marker to the arterial artery position, the remaining portion 721 can be removed leaving the portion coated with the scattering agent. The image processing apparatus can position the sensor for measuring the pulse by accurately estimating the pulse wave position at the removed portion.

8 is an exemplary diagram for estimating a coronal position by performing image processing according to an embodiment of the present invention.

According to one embodiment, the image processing apparatus can detect scattering points. As shown in Fig. 8, the image processing apparatus can detect points a and b. The starting and ending points of the portion of the marker where the scattering material is applied can correspond to points a and b in the image. Further, the first actual distance from the portion of the marker to which the scattering material is applied to the center of the hole of the marker can be used to estimate the position of the crest on the image.

According to one embodiment, the distance from the point a to the point b in the image is compared with the distance covered with the scattering material at the marker, and the estimated distance A on the image corresponding to the first actual distance is calculated according to the comparison result. And a point at a distance of an estimated distance from a can be estimated as a square position. A more detailed description of estimating the curve position is given in Fig.

FIG. 9 is a view illustrating a process of estimating a corridor position by performing image processing according to another embodiment of the present invention.

FIG. 910 is an exemplary diagram illustrating detection of a high intensity pixel with a threshold value or more as a candidate pixel for a guideline in a maxillary region image. FIG.

According to an exemplary embodiment, n number of candidate pixels representing a guideline can be detected by binarizing features such as color, brightness, etc. of an image at a threshold value in a massive portion image obtained in real time. In this case, the detection unit can detect the high intensity pixel which is equal to or higher than the threshold value specified in advance by the candidate pixel.

Figure 920 is an exemplary diagram showing the detection of a guideline based on the detected candidate pixels.

According to one embodiment, the detecting unit can detect the guideline based on the detected candidate pixels. The detection unit may perform a fitting operation on the candidate pixel to detect the guideline. Further, the detection unit can determine the position of the guideline by fitting the detected candidate pixels to the curve.

930 is an exemplary view showing a process of moving a window on a guideline and detecting a scattering point.

The detection unit moves the window on the guide line, and can detect the scattering point using the distance between the fitting pixel on the guide line and the candidate pixel.

According to one embodiment, the distance from Pk to all candidate pixels (b1, b2, etc.) existing in the mxn window based on the fitting pixel Pk can be obtained. And the maximum value thereof can be referred to as dk. The values of d1 to dn for fitting pixels P1 to Pn can be obtained. If the dk value is larger than Equation (1), there exists a large number of candidate pixels with a large error around pk, so that it can be determined as a scattering point. Equation 1 is as follows.

  Therefore, the detection unit moves the window, and can detect the fitting pixel determined as the scattering point from P1 to Pn. The starting and ending points of the scattering point can be determined by the detected fitting pixels.

940 is an exemplary diagram illustrating a process of detecting a start point and an end point of a scattering point and calculating a first scattering distance, which is a distance between a start point and an end point.

According to one embodiment, the detection unit can detect the scattering point using the distance between the fitting pixel and the candidate pixel. The estimation unit can detect the start point 941 and the end point 942 in the scattering point. The estimator may calculate a first scattering distance that is a distance between a start point 941 and an end point 942. [

950 is an exemplary view showing a process of correcting the first scattering distance.

According to one embodiment, the estimator may correct the first scattering distance (distance between 953 and 954) using the distance between the guidlines (distance between 951 and 952).

On the other hand, the distance between the user's arm and the camera that captures the image of the arm is dc, and the first scattering distance d becomes smaller as the camera distance becomes longer, so that the first scattering distance d is expressed by Equation 2 .

Where c1 and c2 are predetermined values for the physical scattering point width of the marker and the constant according to the camera specification.

Further, the distance dl between the guidlines can be expressed by Equation (3).

Here, the distance between the light source and the arm is dwl, and mld is the actual physical distance of the distance dl between the guide lines proportional to dwl.

Since the distance between the light source and the arm may be different depending on the user, since the position of the arm in the longitudinal direction can be known, it is possible to estimate the dwl, which is the relationship between the light source and the arm located on the extension line in the longitudinal direction of the arm. However, when the arm is fixed, the position of the hip joint becomes the reference of the arm position, so the position of the arm near the guide line and the distance of the light source are constant.

Therefore, it is possible to calculate mld having a constant value, and as a reference, dc can be calculated from known c1, c2 and measured dl. The calculated dc can be used to calibrate d.

960 is an exemplary diagram illustrating a process of estimating a pulse wave position on a pulse wave image.

According to one embodiment, the estimator may estimate the crest position based on the detected guideline and the first actual distance 961, A. (963, dl) between the first actual distance, which is the distance from the portion where the actual scattering material is applied to the marker, to the guide line, `). Therefore, it is possible to estimate the position of a vein at a distance of A 'from the image. In particular, the estimator may estimate the curve position as a point on the guideline.

According to another embodiment, the estimating unit may correct the first actual distance based on the relationship between the scattering point and the size of the marker. And can estimate the curve position based on the corrected first actual distance and the guideline.

The apparatus described above may be implemented as a hardware component, a software component, and / or a combination of hardware components and software components. For example, the apparatus and components described in the embodiments may be implemented within a computer system, such as, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable array (FPA) A programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions.

The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to execution of the software.

For ease of understanding, the processing apparatus may be described as being used singly, but those skilled in the art will recognize that the processing apparatus may have a plurality of processing elements and / As shown in FIG. For example, the processing unit may comprise a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as a parallel processor.

The software may include a computer program, code, instructions, or a combination of one or more of the foregoing, and may be configured to configure the processing device to operate as desired or to process it collectively or collectively Device can be commanded.

The software and / or data may be in the form of any type of machine, component, physical device, virtual equipment, computer storage media, or device , Or may be permanently or temporarily embodied in a transmitted signal wave. The software may be distributed over a networked computer system and stored or executed in a distributed manner. The software and data may be stored on one or more computer readable recording media.

The method according to an embodiment may be implemented in the form of a program command that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions to be recorded on the medium may be those specially designed and configured for the embodiments or may be available to those skilled in the art of computer software.

Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like.

Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like.

The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. For example, it is to be understood that the techniques described may be performed in a different order than the described methods, and / or that components of the described systems, structures, devices, circuits, Lt; / RTI > or equivalents, even if it is replaced or replaced.

Therefore, the scope of the present invention should not be limited to the described embodiments, but should be determined by the equivalents of the claims, as well as the claims.

Claims (22)

A detector for detecting a scattering point at which light generated from a marker attached to a great-valley region is scattered and a laser-type guideline irradiated on the great-valley region in a great-angle region image, at least one guide line Presented; And
Based on the first actual distance from the point of application of the scattering substance or the reflective material of the marker to the valgus region and the guide line detected in the valgus region image, Lt; RTI ID = 0.0 >
And the image processing apparatus.
delete delete The method according to claim 1,
Wherein:
A high intensity pixel having a threshold value or more is detected as a candidate pixel, and the guide line is detected based on the detected candidate pixel. 5. The method of claim 4,
Wherein the detecting unit performs a fitting operation on the detected candidate pixel to detect the guideline. 6. The method of claim 5,
Wherein the detecting unit moves the window for detecting the scattering point on the guide line and detects the scattering point by using the distance between the fitting pixel detected by the guide line and the candidate pixel as a result of the fitting operation, . The method according to claim 1,
Wherein the estimating unit comprises:
A calculation unit that detects a start point and an end point of the scattering point and calculates a first scattering distance that is a distance between the start point and the end point; And
And a correction unit that corrects the first scattering distance using the distance between the guide lines. The method according to claim 1,
And the estimating unit corrects the first actual distance based on a relationship between the scattering point and the size of the marker. 9. The method of claim 8,
And the estimating unit estimates the accurate position based on the corrected first actual distance and the guideline. 10. The method of claim 9,
Wherein the estimating unit estimates a distance from a starting point of the detected scattering point to a vein position in the vein region image with reference to the corrected first actual distance and the guide line, And estimates a first point on the line as the valley position. The method according to claim 1,
And a sensor unit for measuring a vein in the great-valley region. 12. The method of claim 11,
And a control unit for controlling the sensor unit to move to the elevation position using the estimated elevation position. The method according to claim 1,
The guiding line guiding the guiding line to detect a site, a tube, and a chuck area for the site. Detecting a scattering point where light emitted from a marker attached to a vein region is scattered and a guide line of a laser type irradiated to the vein region in a vein region image in a detection region; Guidelines are presented; And
The estimating unit may calculate the first actual distance from the point where the scattering material or the reflective material of the marker is applied to the great-valley region to the one point on the guide line on the basis of the guide line detected in the great- Estimating the location
And an image processing method.
delete delete 15. The method of claim 14,
Wherein the detecting the guideline comprises:
Wherein the detecting unit detects a high intensity pixel having a threshold value or more as a candidate pixel and detects the guide line on the basis of the detected candidate pixel. 18. The method of claim 17,
In the detection of the guideline,
Wherein the detecting unit performs a fitting operation on the detected candidate pixel to detect the guideline. 19. The method of claim 18,
Wherein the step of detecting the scattering point comprises:
Wherein the detecting unit includes a step of moving a window for detecting the scattering point on the guide line and detecting the scattering point by using the distance between the fitting pixel detected by the guide line and the candidate pixel as a result of the fitting operation / RTI > 15. The method of claim 14,
Further comprising the step of correcting the first actual distance based on a relationship between the scattering point and the size of the marker. 21. The method of claim 20,
The estimation of the curve position in the above-
And the estimating section estimates the great-valley position based on the corrected first actual distance and the guideline. A computer-readable recording medium storing a program for executing an image processing method,
Detecting a scattering point where light emitted from a marker attached to a vein region is scattered and a guide line of a laser type irradiated to the vein region in a vein region image in a detection region; Guidelines are presented; And
The estimating unit may calculate the first actual distance from the point where the scattering material or the reflective material of the marker is applied to the great-valley region to the one point on the guide line on the basis of the guide line detected in the great- Estimating the location
Readable recording medium.

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