JP7078330B2 - Algae adhesion measuring device - Google Patents

Description

The present invention relates to an algae adhesion measuring device for measuring the state of adhesion of algae, for example, diatoms and seaweeds to a substrate.

Seaweeds and diatoms (algae) that feed on fish and shellfish adhere to artificial reefs on the seabed and stones and artificial reefs on the bottom of rivers. As the base material of the fishing reef, for example, a base material utilizing incinerator ash of an industrial facility is used. Various techniques have been conventionally proposed for effectively adhering seaweeds and diatoms (algae) that feed fish (see Patent Document 1). In the technique of Patent Document 1, a structure in which incinerated ash or the like is used as an aggregate and algae spores are embedded is proposed. As a result, an artificial reef that makes effective use of by-products can be obtained.

By grasping how much algae have adhered to the artificial reef, it is possible to judge whether or not it is functioning as a reef. In addition, by grasping the state of algae adhering to the stones at the bottom of the river, it can be used as an index when evaluating the environment and the like.

In the current situation, the detection of the algae adhesion state is generally performed by directly or indirectly collecting the algae adhering to the substrate and determining the amount of the algae attached based on the collected sample. For this reason, it was necessary to peel off a part of the algae attached to the base material such as an actual fishing reef or stone, and to destroy a part of the function as a fishing reef or the function as a stone to which bait was attached.

It is conceivable to construct a fishing reef experimentally without using an actual fishing reef, but when constructing a fishing reef experimentally and removing algae to determine the amount of adhesion, etc., in the actual environment in the sea or river. It was difficult to obtain the result of the adhesion status of, and it was not possible to accurately grasp the adhesion status.

Japanese Unexamined Patent Publication No. 2012-210190

The present invention has been made in view of the above situation, and provides an algae adhesion measuring device capable of grasping the adhesion state in an actual environment without peeling off the algae (for example, diatom, seaweed) adhering to the base material. The purpose is to do.

In the algae adhesion measuring device of the present invention according to claim 1 for achieving the above object, an image pickup means for imaging a base material to which algae is attached and image information captured by the image pickup means are input and input. The color tone grasping means for grasping the color tone parameter information of the image information and the color tone parameter information of the image information grasped by the color tone grasping means are input, and the color tone parameter and the amount of algae adhered are input. The correlation is stored, and based on the correlation, the algae is provided with an algae deriving means for deriving the amount of algae attached to the color tone parameter of the input image information, and the algae are diatoms and seaweeds, and the color tone. The color tone parameter grasped by the grasping means is an RGB (red, green, blue) model, and the algae derivation means is a color designation using designated values of two components (RB) excluding G of the RGB model. In relation to the value and the specific dye, the amount of the specific dye with respect to the color specified value in the input image information is obtained, and the amount of algae attached is derived based on the obtained amount of the specific dye. It is characterized by that.

In the present invention according to claim 1, the base material to which algae are attached is imaged by the image pickup means, the captured image information is input to the color tone grasping means, the information of the color tone parameter of the image information is grasped, and the color tone of the image information is obtained. The parameter is input to the algae derivation means, and the amount of algae attached to the color tone parameter of the image information is derived based on the correlation between the color tone parameter and the amount of algae attached.
Then, it is possible to grasp the algae adhesion state in the actual environment without peeling off the diatoms and seaweeds adhering to the base material.
Further, using an RGB (red, green, blue) model as a color tone parameter, it is possible to grasp the adhesion state of algae according to the degree of the red component, the green component, and the blue component.
In addition, the specified value of the two components (RB), that is, the color specified value using the value of the degree of each color of R (red) and B (blue), and the attached amount of algae using the specific dye. Can be derived.

This makes it possible to grasp the adhesion state in the actual environment without peeling off the algae adhering to the base material. For example, a part of the constituent members of the fishing reef is used as a base material (plate or the like), and the base material is installed in the device to obtain an image. By returning the base material after the image is obtained to the original fishing reef, it is possible to grasp the adhesion situation in the actual environment without destroying the function as the fishing reef (without peeling off the algae).

Incidentally, Japanese Patent No. 5990127 discloses a technique for determining the growth state of microalgae using a parameter (color tone parameter: RGB color space) constituting the color space. However, the technique disclosed in Japanese Patent No. 5990127 is a technique for acquiring an image of a solution and extracting color information from the image of the solution of the microalgae to determine the growth state of the microalgae. Therefore, the technique disclosed in Japanese Patent No. 5990127 is based on an image of algae adhering to a base material, without peeling the algae from the base material (for example, without destroying the function as a fishing reef). The technical content is different from that of the present invention for grasping the situation.

Color space color parameters include CMYK (cyan, magenda, yellow, black), I (gray level intensity), L (Lab brightness channel), H (hue), and S (saturation), depending on the type of organism. ), V (brightness) can be used.

Further, the algae adhesion measuring apparatus of the present invention according to claim 2 is the algae adhesion measuring apparatus according to claim 1 , wherein the color designation value is a designation value of (RB) of two components of the RGB model. (RB), the specific dye is characterized by being chlorophyll.

In the present invention according to claim 2 , the designated value of the two components (RB), that is, the difference in the degree of each color of R (red) and B (blue) (designated value of R-designated value of B). ) Is set as the specified color value, and the amount of algae attached is derived based on the amount of chlorophyll with respect to the specified color value.

Further, the algae adhesion measuring apparatus of the present invention according to claim 3 is the algae adhesion measuring apparatus according to claim 2 , wherein the algae derivation means is a component of the RGB model according to the substrate. The relationship between the corresponding RB reference value and the amount of the chlorophyll is stored as a calibration curve map, and the algae derivation means reflects the color designation value with respect to the reference value of the calibration curve map to cause the chlorophyll. It is characterized by obtaining the amount of algae and deriving the amount of algae attached.

In the present invention according to claim 3 , a calibration curve map of the relationship between the RB reference value corresponding to the designated value of R − the designated value of B and the amount of chlorophyll is provided on the base material, and the calibration curve map is used. Then, the amount of chlorophyll is made to correspond to the color specified value of the actual image (specified value of R-specified value of B), and the amount of algae attached is derived based on the amount of chlorophyll.

Further, the biological adhesion measuring device of the present invention according to claim 4 is the algae adhesion measuring device according to any one of claims 1 to 3 , wherein the two components (RB) of the RGB model are used. The color-designated value, which is the difference between the designated values (RB), is characterized in that the added value of the R value, the G value, and the B value of the image information is added and corrected.

In the present invention according to claim 4 , since the color designation value (RB) is corrected by adding the added value of the R value, the G value, and the B value of the image information, the brightness of the image is increased. The amount of algae attached can be evaluated regardless of the degree (whether it is bright or dark). Then, the color designation value (RB) is corrected by adding the addition value of the R value, the G value, and the B value of the image information, so that the amount of algae attached is not limited to the color of the base material. Can be evaluated.

The algae adhesion measuring device of the present invention makes it possible to grasp the adhesion state in an actual environment without peeling off the algae adhered to the substrate.

It is a schematic block diagram of the algae adhesion measuring apparatus which concerns on one Example of this invention. It is a schematic block diagram of the algae adhesion measuring apparatus which concerns on one Example of this invention. It is a graph which shows the distribution of RGB (red, green, blue) in a color space. It is an external view (photograph figure) of the base material to which algae adhered. It is a calibration curve map. It is a calibration curve map.

The algae adhesion measuring device of the present invention is a device for measuring the algae adhesion state by measuring the amount of algae such as diatoms and seaweeds adhering to the base material, and the base material to which the algae is attached is photographed and photographed. The information of the RGB (red, green, blue) model, which is the color tone parameter of the image, was grasped, and the image was taken based on the correlation between the index of the RGB (red, green, blue) model and the amount of algae attached. It derives the amount of algae attached to the information of the RGB (red, green, blue) model of the image.

This makes it possible to grasp the adhesion state in the actual environment without peeling off the algae adhering to the base material.

FIG. 1 illustrates a schematic situation for explaining the overall configuration of the algae adhesion measuring device according to an embodiment of the present invention, and FIG. 2 illustrates a control status of the algae adhesion measuring device according to an embodiment of the present invention. FIG. 3 shows a graph for explaining the distribution of RGB (red, green, blue) in the color space.

As shown in FIG. 1, the base material 4 to which the algae 3 are attached is installed on the base 2 of the adhesion measuring device 1. The base material 4 is, for example, a member that constitutes a part of a component of an actual seabed fishing reef. The base 2 is provided with a support pillar 5, and the support pillar 5 is provided with a camera 6 (imaging means) for photographing (imaging) the surface of the base material 4. The image taken by the camera 6 is sent to the control means 8.

In the control means 8, the information of the color tone parameter of the image information is grasped (color tone grasping means), and the correlation between the color tone parameter and the adhesion amount of the algae 3 is stored. Then, in the control means 8, the amount of adhesion of the algae 3 to the color tone parameter of the input image information is derived based on the stored correlation (algae derivation means).

That is, the base material 4 in the actual environment to which the algae 3 are attached is photographed by the camera 6, and the photographed image information is input to the control means 8 to input the color tone parameter of the image information {RGB (red, green, blue in the color space). ) Model} information is grasped. That is, the specified value that represents the degree of the red component, which is the information of the RGB (red, green, blue) model of the image information, the specified value that represents the degree of the green component, and the value that represents the degree of the blue component. Information on a specified value is grasped.

Then, based on the correlation between the information based on the specified value information (color specified value) and the adhesion amount of the algae 3, the RGB (red, green, blue) model information (color specified value) of the image information is used. The amount of algae 3 attached to the algae 3 is determined.

Therefore, it is possible to grasp the adhesion state in the actual environment without peeling off the algae 3 adhering to the base material 4. The base material 4 (the base material 4 from which the algae 3 has not been peeled off) whose adhesion status has been grasped is returned to its original state as, for example, a constituent member of the fishing reef, and further, the algae 3 is adhered to the one base material 4. By using this, it becomes possible to continuously grasp the adhesion status of algae 3 in chronological order. That is, for example, it becomes possible to grasp the adhesion state in the actual environment without destroying the function as a fishing reef.

Specifically, as shown in FIG. 2, the control means 8 is provided with an input means 11 for inputting an image taken by the camera 6, and the image input to the input means 11 is sent to the calculation means 12. Be done. In the calculation means 12, the designated value Ri, which is a value representing the degree of the red component, which is the information of the RGB (red, green, blue) model of the image information, the designated value Gi, which is the value representing the degree of the green component, and the blue component. Information on the designated value Bi, which is a value indicating the degree, is grasped (color tone grasping means). In addition, i shows each pixel of an image.

Then, the calculation means 12 calculates a color designated value using the designated values R (Ri) and B (Bi) of the two components (RB) excluding the designated value G (Gi). The color designation value is set by RB (Ri-Bi). The reason why the designated values R (Ri) and B (Bi) of the two components (RB) are used as the color designated values will be described with reference to FIG.

FIG. 3 shows the frequency distribution of color components with respect to the captured image 15.

In FIG. 3A, the vertical axis represents the degree of the designated value R (Ri), which is the red component with respect to the added value of the designated values G (Gi), R (Ri), and B (Bi) of the three components, and the horizontal axis. Is the addition value of the designated values G (Gi), R (Ri), and B (Bi) in each pixel (each pixel from the side where the degree of brightness is small to the side where the degree of brightness is large).

In FIG. 3B, the vertical axis represents the degree of the designated value G (Gi), which is a green component with respect to the added value of the designated values G (Gi), R (Ri), and B (Bi) of the three components, and the horizontal axis. Is the addition value of the designated values G (Gi), R (Ri), and B (Bi) in each pixel (each pixel from the side where the degree of brightness is small to the side where the degree of brightness is large).

In FIG. 3 (c), the vertical axis represents the degree of the designated value B (Bi), which is the blue component with respect to the added value of the designated values G (Gi), R (Ri), and B (Bi) of the three components, and the horizontal axis. Is the addition value of the designated values G (Gi), R (Ri), and B (Bi) in each pixel (each pixel from the side where the degree of brightness is small to the side where the degree of brightness is large).

As shown in FIG. 3A, in the image 15 in which the algae are captured, the degree of the designated value R (Ri), which is a red component, increases on the side where the degree of brightness is small, and the degree of brightness increases. There is a distribution with a small degree on the large side.

As shown in FIG. 3 (b), in the image 15 showing the algae, the degree of the designated value G (Gi), which is a green component, is about the same in all the regions from the side where the degree of brightness is small to the side where the degree of brightness is large. It is present to a lesser extent (less frequently distributed).

As shown in FIG. 3 (c), in the image 15 in which the algae are captured, the degree of the designated value B (Bi), which is a blue component, is higher on the side where the degree of brightness is smaller and is higher on the side where the degree of brightness is smaller. There is a lesser distribution on the side.

As shown in FIG. 3 (b), the degree of the designated value G (Gi), which is a green component, has little change in frequency depending on the brightness, and is a red component as shown in FIGS. 3 (a) and 3 (c). As for the degree of the designated value R (Ri) and the designated value B (Bi) which is a blue component, a change in the frequency in the opposite direction can be seen on the side where the brightness is small.

Therefore, in the image 15 in which the algae are captured, the brightness is set by using the designated values R (Ri) and B (Bi) of the two components (RB) excluding the designated value G (Gi) as the color designated values. It can be seen that it is an index that captures the characteristics of the color components of. Specifically, as the color designation value, the difference (Ri-Bi) between the designated values of the two components of the RGB model is calculated as the color designation value.

By using an RGB (red, green, blue) model as a color tone parameter for determining the amount of algae attached, it is possible to grasp the algae adhesion state according to the degree of the red component, the green component, and the blue component.

The color specified value (Ri-Bi), which is the difference between the specified values of the two components of the RGB model, is corrected by adding the added values of the R value, the G value, and the B value of the image information. That is, the color designation value (Ri-Bi) is corrected as, for example, a value obtained by dividing the added value of the R value, the G value, and the B value of all the pixels by the number of pixels.

Returning to FIG. 2, the control means 8 is provided with a storage means 21 (algae derivation means), and the storage means 21 has an RB reference value corresponding to a color designation value (Ri-Bi) of an RGB model and a specific dye. The relationship with the amount of chlorophyll is stored as the calibration curve map 22. A plurality of calibration curve maps 22 are stored for each type of the base material 4.

The calibration curve map 22 will be described with reference to FIGS. 4 to 6.

FIG. 4 shows the appearance of a sample for creating a calibration curve map, and shows a sample in which the amount of algae attached increases in the order of (a), (b), (c), and (d). Further, FIG. 5 is a calibration curve map showing the relationship between the RB reference value corresponding to the color designation value (Ri-Bi) in the sample and the amount of chlorophyll. The amount of adhesion is shown. Further, FIG. 6 shows a calibration curve map of different base materials.

The algae of the samples corresponding to FIGS. 4 (a), (b), (c) and (d) were peeled off, and the amount of chlorophyll was detected in each. As shown in FIG. 5, as the amount of algae attached increases, the RB reference value corresponding to the color designation value (Ri-Bi) increases, and as the amount of algae attached increases, the amount of chlorophyll increases. It was confirmed that it would be.

Further, as shown in FIG. 6, for example, a base material A (indicated by a solid line), a base material B (indicated by a one-dot chain line), and a base material C (two-dot chain line) such as natural stone or concrete made of different materials. Even in the case of (shown by), it has been confirmed that the RB reference value corresponding to the color designation value (Ri-Bi) increases as the amount of algae adhered increases.

As a result, it was confirmed that in the case of the base material A, the base material B, and the base material C, the amount of chlorophyll tends to increase as the amount of algae adhered increases (as the RB reference value increases). rice field.

Returning to FIG. 2, the color designated value (Ri-Bi) using the designated values R (Ri) and B (Bi) of the two components (RB) excluding the designated value G (Gi) calculated by the calculation means 12. , And the calibration curve map 22 corresponding to the base material 4 stored in the storage means 21 is input to the algae derivation means 23.

In the algae derivation means 23, the color designation value (Ri-Bi) calculated by the calculation means 12 is compared with the calibration curve map 22, that is, the color designation value (Ri-Bi) calculated with respect to the RB reference value is reflected. The amount of chlorophyll with respect to the calculated color designation value (Ri-Bi) is obtained. Then, based on the obtained chlorophyll amount, the amount of algae attached to the calculated color designation value (Ri-Bi) is derived.

In the adhesion measuring device 1 having the above configuration, for example, the base material 4 to be measured (the base material 4 for which the amount of algae adhered is to be measured) is placed on the base base 2, and the state of the algae is photographed by the camera 6. The captured image is input to the control means 8, and the control means 8 calculates a color designation value (Ri-Bi) based on an RGB (red, green, blue) model in the color space.

Next, the color of the image is specified with respect to the calibration curve map 22 regarding the relationship between the RB reference value corresponding to the color specified value (Ri-Bi) which is (specified value of R-specified value of B) and the amount of chlorophyll. The values (Ri-Bi) are associated with each other, and the amount of chlorophyll with respect to the color specified value (Ri-Bi) of the actual image is obtained from the calibration curve map 22.

Then, the amount of algae attached is derived based on the obtained amount of chlorophyll. That is, the amount of algae attached is derived from the color designation value (Ri-Bi) of the actual image.

Therefore, it is possible to detect the state (adhesion amount) of the algae adhering to the base material 4 in the actual environment without peeling off the algae from the information of the image taken by the camera 6. That is, in the process of growing algae, the amount of algae attached at any time can be determined, and by managing one base material 4, that is, using many base materials in order over time. It is possible to determine the progress of algae adhesion without peeling off the algae, and to grasp the underwater environment.

For example, a part of the constituent members of the fishing reef is used as a base material 4 (plate, etc.), and the base material 4 is installed in a device to obtain an image, and the algae status (adhesion amount) can be measured without peeling off the base material 4 algae. To detect. Then, by returning the base material 4 after the image is obtained as a constituent member of the original fishing reef, the adhesion state in the actual environment can be grasped without destroying the function as the fishing reef (without peeling off the algae). Will be able to.

As the adhesion measuring device 1 described above, in order to grasp the environment of a river or the like, it is possible to measure the amount of algae adhering to stones or the like (base material) on the riverbed, and the type of algae or base material to be measured. Allows the color tone parameters to be appropriately selected and combined.

INDUSTRIAL APPLICABILITY The present invention can be used in the industrial field of an organism adhesion measuring device for measuring the state of attachment of organisms, for example, diatoms and algae including seaweeds to a substrate.

1 Adhesion measuring device 2 Base stand 3 Algae 4 Base material 5 Support pillar 6 Camera 8 Control means 11 Input means 12 Calculation means 15 Image 21 Storage means 22 Calibration curve map 23 Algae derivation means

Claims (4)

An imaging means for imaging a base material to which algae are attached, and
An image information captured by the image pickup means is input, and a color tone grasping means for grasping information on a color tone parameter of the input image information and a color tone grasping means.
The information of the color tone parameter of the image information grasped by the color tone grasping means is input, and the correlation between the color tone parameter and the adhesion amount of algae is stored, and the input is input based on the correlation. It is provided with an algae derivation means for deriving the amount of algae attached to the color tone parameter of image information.
The algae are diatoms and seaweeds.
The color tone parameter grasped by the color tone grasping means is an RGB (red, green, blue) model.
The algae derivation means is
The amount of the specific dye with respect to the color specified value in the input image information in relation to the color specified value using the specified values of the two components (RB) excluding G of the RGB model and the specific dye. And derive the amount of algae attached based on the obtained amount of the specific dye.
An algae adhesion measuring device characterized by this. In the algae adhesion measuring device according to claim 1 ,
The color designated value is the difference (RB) between the designated values (RB) of the two components of the RGB model.
The specific dye is an algae adhesion measuring device characterized by being chlorophyll. In the algae adhesion measuring device according to claim 2 .
The algae derivation means includes
Depending on the base material, the relationship between the RB reference value corresponding to the component of the RGB model and the amount of the chlorophyll is stored as a calibration curve map.
The algae derivation means is
An algae adhesion measuring device, characterized in that the amount of chlorophyll is obtained by reflecting the color designation value with respect to the reference value of the calibration curve map, and the algae adhesion amount is derived. In the algae adhesion measuring apparatus according to any one of claims 1 to 3 .
The color designation value, which is the difference (RB) between the two components of the RGB model (RB), is added to the addition value of the R value, the G value, and the B value of the image information. Algae adhesion measuring device characterized by being corrected.

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