CN109030488B - Algae biomass detection method and device - Google Patents
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Abstract
The invention provides a method and a device for detecting algae biomass, which relate to the technical field of algae data detection, and the method comprises the steps of obtaining a plurality of on-site photos for sampling an area to be detected; performing pixelization processing on each live photo to generate unit pixel area, unit pixel chroma and same-chroma pixel quantity; determining corresponding algae species according to the unit pixel chroma and the chroma standard value; generating unit pixel area biomass of algae seeds according to the standard unit pixel area, the unit pixel area and the standard unit pixel biomass coefficient, and determining the biomass of the algae seeds in the field photo according to the unit pixel area biomass and the same chroma pixel number; and determining the total biomass of the algae species in the area to be measured according to the ratio of the area of the field photo in the area of the area to be measured and the biomass of the algae species in the field photo. The invention determines the algae species and estimates the total biomass of each algae in the area to be measured without destroying and killing the algae.
Description
Technical Field
The invention relates to the technical field of algae data detection, in particular to a method and a device for detecting algae biomass.
Background
Under a large environment, the biomass detection method of the plaque-shaped floating algae mainly comprises on-site sampling estimation, remote sensing picture estimation of a relevant area by satellite remote sensing shooting and the like. The biomass detection method of attached or floating algae in a microenvironment is not mature, and the traditional method is indoor analysis, sampling detection and the like after field sampling. The easy incompleteness of field sampling leaves a large amount of incomplete garrulous algae, destroys microenvironment community structure, and the algae is dead after the sample, consequently can only carry out disposable analysis to certain growing period, can not carry out comparative analysis to each growing period. Economic benefits can also be affected if the subject is an economic alga. In addition, the field sampling process is complicated, the pollution is easily mixed, the sample is easily damaged and deteriorated in the transportation process, the deformation of the algae body structure is obvious, and certain difficulty is caused to the subsequent analysis.
Disclosure of Invention
In view of the above, the present invention provides a method and an apparatus for detecting algal biomass without destroying the morphological structure of algae.
In a first aspect, an embodiment of the present invention provides a method for detecting algal biomass, including:
acquiring a plurality of field photos for sampling a region to be detected; performing pixelization processing on each live photo to generate unit pixel area, unit pixel chroma and same-chroma pixel quantity; determining corresponding algae species according to the unit pixel chroma and the chroma standard value; obtaining standard unit pixel area and standard unit pixel biomass coefficient corresponding to algae species; extracting a chromaticity standard value, a standard unit pixel area and a standard unit pixel biomass coefficient from a sample photo, wherein the sample photo and a field photo have the same shooting condition; generating unit pixel area biomass of algae seeds according to the standard unit pixel area, the unit pixel area and the standard unit pixel biomass coefficient, and determining the biomass of the algae seeds in the field photo according to the unit pixel area biomass and the same chroma pixel number; and determining the total biomass of the algae species in the area to be measured according to the ratio of the area of the field photo in the area of the area to be measured and the biomass of the algae species in the field photo.
With reference to the first aspect, an embodiment of the present invention provides a first possible implementation manner of the first aspect, where the method further includes obtaining a sample photo of multiple samplings of algal species in a region to be detected; generating the chromaticity, the pixel quantity and the standard unit pixel area of each sample according to the sample photo, and generating the chromaticity standard value of the algae seeds according to the chromaticity of the samples; counting the biomass of the samples, and calculating the biomass coefficient of the unit pixel of each sample according to the biomass of the samples and the number of the pixels; and generating a standard unit pixel biomass coefficient of the algae species according to the biomass coefficient of the unit pixel.
With reference to the first aspect, the embodiment of the present invention provides a second possible implementation manner of the first aspect, and the method further includes generating the total biomass of the region to be measured according to the total biomass of the algal species and the species of the algal species.
With reference to the first aspect, an embodiment of the present invention provides a third possible implementation manner of the first aspect, where the step of generating the biomass per pixel area of the algae species according to the standard unit pixel area, the unit pixel area, and the standard unit pixel biomass coefficient includes: the biomass per pixel area of the algal species was calculated according to the following formula: m is1＝k0*S1/S0Wherein m is1Is the biomass per pixel area, S, of the algal species0Is a standard unit pixel area, S1Is a unit pixel area, k0Is a standard unit pixel biomass coefficient.
With reference to the first aspect, an embodiment of the present invention provides a fourth possible implementation manner of the first aspect, where the step of determining biomass of algae species in the live photograph according to the biomass per pixel area and the number of pixels with the same chroma includes: the biomass of the algal species is calculated according to the formula mLight block＝n*m1＝n*k0*S1/S0Wherein m isLight blockThe biomass of the algae species in the live photograph, and n is the number of pixels of the same chroma.
With reference to the first aspect, an embodiment of the present invention provides a fifth possible implementation manner of the first aspect, wherein the step of determining the total biomass of the algae species in the region to be measured according to a ratio of an area of the live picture in an area of the region to be measured and the biomass of the algae species in the live picture includes: the average biomass of the algal species was calculated according to the following formula:
wherein the content of the first and second substances,
average biomass of algal species, m, in L live photographsAccording to iThe biomass of the algae species in each live photograph is shown, wherein i is 1,2, …, and L is the number of live photographs.
In combination with the first aspect, the embodiment of the invention providesIn a sixth possible implementation manner of the first aspect, the step of determining the total biomass of the algae species in the area to be measured according to the ratio of the area of the live photograph to the area of the area to be measured and the biomass of the algae species in the live photograph includes: the total biomass of the algal species was calculated according to the following formula:
wherein M isGeneral assemblyIs the total biomass of the algae species in the area to be measured,
the average biomass of the algal species in the L live photographs, SGeneral assemblyIs the area of the region to be measured, SLight blockIs the area of the live photograph.
In a second aspect, an embodiment of the present invention further provides an apparatus for detecting algal biomass, including: the sampling module is used for acquiring a plurality of field photos for sampling the area to be detected; the pixelation module is used for performing pixelation processing on each field photo to generate unit pixel area, unit pixel chroma and same-chroma pixel quantity; the analysis module determines corresponding algae species according to the unit pixel chromaticity and the chromaticity standard value; the computing module is used for obtaining the standard unit pixel area and the standard unit pixel biomass coefficient corresponding to the algae; extracting a chromaticity standard value, a standard unit pixel area and a standard unit pixel biomass coefficient from a sample photo, wherein the sample photo and a field photo have the same shooting condition; the computing module is also used for generating the biomass of the unit pixel area of the algae seeds according to the standard unit pixel area, the unit pixel area and the standard unit pixel biomass coefficient, and determining the biomass of the algae seeds in the field photo according to the biomass of the unit pixel area and the number of pixels with the same chroma; and the calculating module is also used for determining the total biomass of the algae species in the area to be detected according to the proportion of the area of the field photo in the area of the area to be detected and the biomass of the algae species in the field photo.
With reference to the second aspect, an embodiment of the present invention provides a first possible implementation manner of the second aspect, where the apparatus further includes a standard value module, configured to: acquiring a sample photo of algae seeds sampled for multiple times in a region to be detected; generating the chromaticity, the pixel quantity and the standard unit pixel area of each sample according to the sample photo, and generating the chromaticity standard value of the algae seeds according to the chromaticity of the samples; counting the biomass of the samples, and calculating the biomass coefficient of the unit pixel of each sample according to the biomass of the samples and the number of the pixels; and generating a standard unit pixel biomass coefficient of the algae species according to the biomass coefficient of the unit pixel.
With reference to the second aspect, an embodiment of the present invention provides a second possible implementation manner of the second aspect, where the calculating module is further configured to: and generating the total biomass of the area to be measured according to the total biomass of the algae and the species of the algae.
The embodiment of the invention has the following beneficial effects: the method and the device for detecting the biomass of the algae provided by the embodiment of the invention can be used for performing pixelization processing on an obtained field photo after photographing and sampling an area to be detected to obtain the unit pixel area, the unit pixel chromaticity and the number of pixels with the same chromaticity, distinguishing according to the obtained unit pixel chromaticity and a preset chromaticity standard value to determine the algae species to be detected, obtaining the standard unit pixel area and the standard unit pixel biomass coefficient of the algae species and generating the biomass of the unit pixel area by combining the unit pixel area, thereby determining the biomass of the algae species in the field photo by combining the number of the pixels with the same chromaticity, and then determining the total biomass of the algae species in the area to be detected by combining the proportion of the area of the field photo in the area to be detected. The embodiment of the invention can determine the algae species and estimate the total biomass of each algae in the area to be measured under the condition of not damaging or killing the algae.
Additional features and advantages of the disclosure will be set forth in the description which follows, or in part may be learned by the practice of the above-described techniques of the disclosure, or may be learned by practice of the disclosure.
In order to make the aforementioned objects, features and advantages of the present disclosure more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of a method for detecting algal biomass according to an embodiment of the present invention;
FIG. 2 is a schematic view of a shooting and sampling method for detecting algae biomass according to an embodiment of the present invention;
FIG. 3 is a photograph of an algae biomass detection method according to an embodiment of the present invention;
FIG. 4 is a photograph of an area after being pixilated according to an embodiment of the present invention;
FIG. 5 is a block diagram of an apparatus for detecting algal biomass according to an embodiment of the present invention;
fig. 6 is a block diagram of another structure of the algae biomass detecting apparatus according to the embodiment of the present invention.
Icon:
1-a region to be tested; 2-shooting area; 3-algae to be tested; 4-graduation; 5-photograph on site; 51-a sampling module; 52-pixelization module; 53-an analysis module; 54-a calculation module; 55-standard value module.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The color characteristics are important basis of field analysis of algae, the image pixelation analysis technology based on the field shot picture can accurately and quickly obtain data such as the approximate category, biomass, distribution proportion and the like of the field algae, and the color characteristic analysis content of the picture comprises pixel color uniformity, pixel quantity, color depth and the like. The image pixelation analysis technology does not damage the morphological structure of the algae, and can shoot and analyze for many times in different stages of the life history of the algae. And shooting the same algae attaching area at multiple angles, performing pixelization processing on the picture, and basically determining the algae type and proportion according to the pixel number of unit area, the color proportion and the like. Based on this, the method and the device for detecting algal biomass provided by the embodiment of the invention can basically determine the algal species and the proportion according to the pixel number and the color proportion of the unit area, and estimate the algal biomass of the unit area through a specific formula, and can also further estimate the algal biomass.
To facilitate understanding of the present example, a detailed description will be given of a method for detecting algal biomass disclosed in the present example.
Example 1
Embodiment 1 of the present invention provides a method for detecting algal biomass, which is shown in a flowchart of the method for detecting algal biomass shown in fig. 1, and the method includes:
step S102, a plurality of field photos of the area to be detected are obtained.
The area to be detected is the area to be detected for the algae biomass, and can be intertidal zone, coastal mudflat, estuary and the like. Referring to the schematic diagram of shooting and sampling of the algae biomass detection method shown in fig. 2, at least five shooting areas 2 are obtained by randomly sampling in the area to be detected 1 by using an on-site shooting tool with the same specification, and a plurality of on-site pictures of algae to be detected 3 are obtained by respectively shooting the shooting areas.
The field shooting tool is a high-resolution camera encryption closed light shield, a high-resolution camera lens shoots a shooting area surrounded by the closed light shield through an opening at the top end of the closed light shield, the shape and specification of the closed light shield are set according to requirements, a built-in light source is arranged in the closed light shield, the built-in light source simulates natural light and is adjustable in light intensity, and a scale is arranged on one side of the bottom end of the closed light shield, so that shot pictures are provided with scales, and the field pictures 5 of the algae biomass detection method shown in figure 3 comprise scales 4. The area of the shooting area 2 covered by the light shield is the area of the live picture.
And step S104, performing pixelization processing on each live photo to generate unit pixel area, unit pixel chroma and same-chroma pixel quantity.
The pixelation processing is to divide the live picture uniformly, determine the number of parts to be divided according to the requirement, and take each divided part as a unit pixel. The unit pixel area is an area per unit pixel after pixelation processing of the live photograph. And generating unit pixel chroma of each divided field photo and counting the number of pixels with the same chroma. Referring to the on-site photograph of the algae biomass detection method shown in fig. 3 and the on-site photograph after pixelization shown in fig. 4, in the on-site photograph, the algae 3 to be detected generates unit pixel chromaticity after pixelization, so that the number of pixels with the same chromaticity can be counted.
And step S106, determining corresponding algae species according to the unit pixel chroma and the chroma standard value.
And the standard chromaticity value is measured in advance after the area to be measured is determined. And comparing and analyzing the unit pixel chromaticity of the field photo with a chromaticity standard value which is measured in advance, and determining the algae species corresponding to the unit pixel chromaticity in the error range as the algae species corresponding to the chromaticity standard value.
Step S108, acquiring standard unit pixel area and standard unit pixel biomass coefficient corresponding to the algae; the chromaticity standard value, the standard unit pixel area and the standard unit pixel biomass coefficient are extracted from the sample picture, and the shooting conditions of the sample picture and the scene picture are the same.
The chromaticity standard value, the standard unit pixel area and the standard unit pixel biomass coefficient are standard values obtained by sampling and measuring the region to be measured for multiple times in advance according to a preset rule. The sample picture taken when the standard value is calculated is the same as the shooting condition of the live picture, namely, the shooting tool with the same resolution is required to take pictures under the same lighting condition.
And step S110, generating unit pixel area biomass of the algae seeds according to the standard unit pixel area, the unit pixel area and the standard unit pixel biomass coefficient, and determining the biomass of the algae seeds in the field photo according to the unit pixel area biomass and the same chroma pixel number.
Calculating the biomass of the unit pixel area of the algae species according to the proportion of the unit pixel area to the standard unit pixel area and the standard unit pixel biomass coefficient, and counting the biomass of all the unit pixel areas of the algae species in the field photo together to obtain the biomass of the algae species in the field photo.
And step S112, determining the total biomass of the algae species in the area to be measured according to the ratio of the area of the field photo in the area of the area to be measured and the biomass of the algae species in the field photo.
The area of the area to be measured needs to be obtained through estimation, referring to the shooting and sampling schematic diagram of the algae biomass detection method shown in fig. 2, the area of the area to be measured 1 is estimated, the area of the shooting area 2 is measured, the area of the shooting area can also be obtained through measuring the area of a field picture, the proportion of the area to be measured and the measured biomass of the algae species are calculated, and the total biomass of the algae species in the area to be measured is determined by combining the measured biomass of the algae species.
The algae biomass detection method provided by the embodiment of the invention comprises the steps of taking a picture of a region to be detected, sampling the picture, performing pixelization processing on an obtained field picture to obtain unit pixel area, unit pixel chromaticity and same chromaticity pixel quantity, distinguishing according to the obtained unit pixel chromaticity and a preset chromaticity standard value to determine an algae species to be detected, obtaining standard unit pixel area and standard unit pixel biomass coefficient of the algae species, generating unit pixel area biomass by combining the unit pixel area, determining the biomass of the algae species in the field picture by combining the same chromaticity pixel quantity, and determining the total biomass of the algae species in the region to be detected by combining the proportion of the area of the field picture in the area of the region to be detected. The embodiment of the invention can determine the algae species and estimate the total biomass of each algae in the area to be measured under the condition of not damaging or killing the algae.
And respectively carrying out standard value measurement and calculation on various algae species, and detecting the algae biomass in the area to be detected by combining the sampling data of the sample photo. If the algae are in different areas to be measured with large area span, the standard values of the algae groups in the different areas to be measured need to be respectively measured and calculated so as to avoid the influence of unused environmental characteristics on the color of the algae. The standard value measurement needs to execute the following steps:
(1) and acquiring a sample photo of algae seeds sampled for multiple times in the area to be detected.
And respectively sampling a plurality of algae species in the area to be detected for a plurality of times, wherein the sample quantity is more than or equal to 10, and taking a sample picture, wherein the resolution and the illumination condition of the taken sample picture are consistent with those of a field picture of the area to be detected.
(2) And generating the chromaticity, the pixel number and the standard unit pixel area of each sample according to the sample photo, and generating the chromaticity standard value of the algae seeds according to the chromaticity of the samples.
The chromaticity can be represented by three color values collectively, for example, the chromaticity generated for a certain sample photograph of a certain algae is represented as: red: 67.4, green: 183.7, blue: 47.1. calculating the geometric mean value of the chroma of each sample to obtain the chroma mean value C of the algae0：
Wherein, XiDenotes the chroma of the sample and N denotes the sample size. Table 1 is an example of the colorimetric standards obtained for several common macroalgae by laboratory test analysis:
TABLE 1
Standard unit pixel area: a500 million pixel (2560X 1920) photo was taken by default with a laboratory OLYMPUS E-330ADU1X optical microscope, the single pixel area (real area) of which is the standard unit pixel area S0。
(3) Counting the biomass of the samples, and calculating the biomass coefficient of the unit pixel of each sample according to the biomass of the samples and the number of the pixels; and generating a standard unit pixel biomass coefficient of the algae species according to the biomass coefficient of the unit pixel.
Biomass refers to the wet weight of the sample. According to the formula
The biomass coefficient per pixel for each sample is calculated, where M represents the wet weight of the sample and l represents the number of pixels. Counting the biomass coefficients of unit pixels of all samples and calculating the geometric mean value to obtain the standard biomass coefficient k of unit pixels of the algae0：
Where N represents the sample size. Table 2 is an example of standard unit pixel biomass coefficients obtained for several common macroalgae by laboratory test analysis:
| name of algae | Latin name | Standard unit pixel biomass coefficient (k)0)ug/pt |
| Enteromorpha prolifera | Ulva prolifera | 2.7 |
| Porphyra yezoensis | Porphyra yezoensis | 3.6 |
| Sargassum | Scagassum | 4.9 |
| Enteromorpha linza | Ulva linza | 2.3 |
TABLE 2
The chlorophyll (chlorophyll a, chlorophyll b, total chlorophyll) content and the enzyme content of each sample are counted, and the standard unit pixel chlorophyll coefficient and the standard unit pixel enzyme coefficient can be obtained. Used for estimating the correlation content of the region to be measured.
In order to estimate the total biomass of the region to be measured, the method further comprises generating the total biomass of the region to be measured according to the total biomass of the algae species and the species of the algae species.
And respectively measuring the total biomass of the multiple algae species in the region to be measured, and further estimating the total biomass of the region to be measured according to the measured total biomass of the multiple main algae species so as to further analyze and research the region to be measured.
After analyzing the field photo, acquiring field statistical indexes such as unit pixel area, unit pixel chroma, same chroma pixel quantity and the like; calculating the biomass of a certain algae species in the field photo by combining each standard value measured in advance, and the specific steps comprise:
the step of generating the biomass of the unit pixel area of the algal species according to the standard unit pixel area, the unit pixel area and the standard unit pixel biomass coefficient includes: the biomass per pixel area of the algal species was calculated according to the following formula: m is1＝k0*S1/S0Wherein m is1Is the biomass per pixel area, S, of the algal species0Is a standard unit pixel area, S1Is a unit pixel area, k0Is a standard unit pixel biomass coefficient.
The method for determining the biomass of the algae species in the scene photo according to the biomass of the unit pixel area and the number of pixels with the same chroma comprises the following steps: the organisms of the algal species were calculated according to the following formulaAmount mLight block＝n*m1＝n*k0*S1/S0Wherein m isLight blockThe biomass of the algae species in the live photograph, and n is the number of pixels of the same chroma.
Referring to a schematic diagram of shooting and sampling of the algae biomass detection method shown in fig. 2, after the biomass of a certain algae species in the field photo is obtained through calculation, the total biomass data of the region to be detected can be obtained by combining the area data of the region to be detected and the area data of the field photo, and the method specifically includes the following steps:
the step of determining the total biomass of the algae species in the area to be measured according to the ratio of the area of the field photo in the area of the area to be measured and the biomass of the algae species in the field photo comprises the following steps: the average biomass of the algal species was calculated according to the following formula:
wherein the content of the first and second substances,
average biomass of algal species, m, in L live photographsAccording to iThe biomass of the algae species in each live photograph is shown, wherein i is 1,2, …, and L is the number of live photographs.
The step of determining the total biomass of the algae species in the area to be measured according to the ratio of the area of the field photo in the area of the area to be measured and the biomass of the algae species in the field photo comprises the following steps: the total biomass of the algal species was calculated according to the following formula:
wherein M isGeneral assemblyIs the total biomass of the algae species in the area to be measured,
the average biomass of the algal species in the L live photographs, SGeneral assemblyIs the area of the region to be measured, SLight blockIs the area of the live photograph.
The embodiment of the invention realizes the detection of the algae biomass in the area to be detected under the condition of not damaging or killing algae. The morphological structure of the algae can not be damaged by using an image pixelation analysis technology, and the algae can be shot and analyzed for many times at different stages of the life history of the algae. The method comprises the steps of shooting the same algae attachment area in multiple angles, performing pixelization processing on a picture, basically determining the algae type and proportion according to the number of pixels in unit area, color proportion and the like, estimating the biomass of algae in unit area through a specific formula, and further estimating the target data of the whole area to be measured.
Example 2
An embodiment 2 of the present invention provides an algae biomass detection apparatus, referring to a block diagram of an algae biomass detection apparatus shown in fig. 5, the apparatus including: a sampling module 51, configured to obtain a plurality of field photographs of a region to be detected; a pixelation module 52, configured to perform pixelation processing on each live photograph to generate a unit pixel area, a unit pixel chromaticity, and a same-chromaticity pixel number; the analysis module 53 determines the corresponding algae species according to the unit pixel chromaticity and the chromaticity standard value; the calculating module 54 is used for obtaining the standard unit pixel area and the standard unit pixel biomass coefficient corresponding to the algae; extracting a chromaticity standard value, a standard unit pixel area and a standard unit pixel biomass coefficient from a sample photo, wherein the sample photo and a field photo have the same shooting condition; the calculating module 54 is further configured to generate unit pixel area biomass of the algae species according to the standard unit pixel area, the unit pixel area and the standard unit pixel biomass coefficient, and determine the biomass of the algae species in the field photo according to the unit pixel area biomass and the number of pixels with the same chroma; the calculating module 54 is further configured to determine the total biomass of the algae species in the region to be measured according to the proportion of the area of the field photo in the area of the region to be measured and the biomass of the algae species in the field photo.
Referring to another structural block diagram of the algae biomass detecting apparatus shown in fig. 6, the apparatus further includes a standard value module 55, configured to: acquiring a sample photo of algae seeds sampled for multiple times in a region to be detected; generating the chromaticity, the pixel quantity and the standard unit pixel area of each sample according to the sample photo, and generating the chromaticity standard value of the algae seeds according to the chromaticity of the samples; counting the biomass of the samples, and calculating the biomass coefficient of the unit pixel of each sample according to the biomass of the samples and the number of the pixels; and generating a standard unit pixel biomass coefficient of the algae species according to the biomass coefficient of the unit pixel.
The computing module 54 of the apparatus is further configured to: and generating the total biomass of the area to be measured according to the total biomass of the algae and the species of the algae.
The device provided by the embodiment of the present invention has the same implementation principle and technical effect as the method embodiments, and for the sake of brief description, reference may be made to the corresponding contents in the method embodiments without reference to the device embodiments.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (8)
1. A method for detecting algal biomass, comprising:
acquiring a plurality of field photos for sampling a region to be detected;
performing pixelization processing on each scene photo to generate unit pixel area, unit pixel chroma and same-chroma pixel quantity;
determining corresponding algae species according to the unit pixel chroma and the chroma standard value;
acquiring a standard unit pixel area and a standard unit pixel biomass coefficient corresponding to the algae; the chromaticity standard value, the standard unit pixel area and the standard unit pixel biomass coefficient are extracted from a sample photo, and the sample photo and the scene photo are taken under the same conditions;
generating unit pixel area biomass of the algae species according to the standard unit pixel area, the unit pixel area and the standard unit pixel biomass coefficient, and determining the biomass of the algae species in the scene photo according to the unit pixel area biomass and the same chroma pixel number;
determining the total biomass of the algae species in the area to be detected according to the ratio of the area of the field photo in the area of the area to be detected and the biomass of the algae species in the field photo;
the biomass is the total amount of the biological population, the unit pixel area is the area of each unit pixel point which is preset when the picture is taken, the standard unit pixel area is a constant pixel area value, and the standard unit area biomass coefficient is a fixed attribute of each algae;
the method further comprises the following steps:
acquiring a sample photo of the algae species in the region to be detected which is sampled for multiple times;
generating the chromaticity, the pixel quantity and the standard unit pixel area of each sample according to the sample photo, and generating the chromaticity standard value of the algae according to the chromaticity of the sample;
counting the biomass of the samples, and calculating the biomass coefficient of the unit pixel of each sample according to the biomass of the samples and the number of the pixels; and generating a standard unit pixel biomass coefficient of the algae species according to the biomass coefficient of the unit pixel.
2. The method of algal biomass detection of claim 1, the method further comprising:
and generating the total biomass of the region to be measured according to the total biomass of the algae species and the species of the algae species.
3. The method of claim 1, wherein the step of generating the biomass per pixel area of the algal species based on the standard unit pixel area, the unit pixel area, and the standard unit pixel biomass coefficient comprises:
the biomass per pixel area of the algal species was calculated according to the following formula:
m1＝k0*S1/S0
wherein m is1Is the biomass per pixel area, S, of the algal species0Is the standard unit pixel area, S1Is the unit pixel area, k0Is the standard unit pixel biomass coefficient.
4. The method of claim 3, wherein the step of determining the biomass of the algae species in the live photograph based on the biomass per pixel area and the number of pixels with the same chromaticity comprises:
the biomass of the algal species was calculated according to the following formula:
mlight block＝n*m1＝n*k0*S1/S0
Wherein m isLight blockAnd n is the biomass of the algae in the live picture, and the number of pixels with the same chroma.
5. The method of claim 1, wherein the step of determining the total biomass of the algal species in the area to be measured from the ratio of the area of the live photograph to the area of the area to be measured and the biomass of the algal species in the live photograph comprises:
the average biomass of the algal species was calculated according to the following formula:
wherein the content of the first and second substances,
the average biomass of the algal species, m, in L of the field photographsAccording to iThe biomass of the algae species in each of the live photographs is shown, wherein i is 1,2, …, and L is the number of the live photographs.
6. The method of claim 1, wherein the step of determining the total biomass of the algal species in the area to be measured from the ratio of the area of the live photograph to the area of the area to be measured and the biomass of the algal species in the live photograph comprises:
the total biomass of the algal species was calculated according to the following formula:
wherein M isGeneral assemblyIs the total biomass of the algae species in the area to be measured,
the average biomass of the algal species, S, in L of the field photographsGeneral assemblyIs the area of the region to be measured, SLight blockIs the area of the live photograph.
7. An algae biomass detection device, comprising:
the sampling module is used for acquiring a plurality of field photos for sampling the area to be detected;
the pixelation module is used for performing pixelation processing on each field photo to generate unit pixel area, unit pixel chroma and same-chroma pixel quantity;
the analysis module determines the corresponding algae species according to the unit pixel chroma and the chroma standard value;
the computing module is used for acquiring the standard unit pixel area and the standard unit pixel biomass coefficient corresponding to the algae; the chromaticity standard value, the standard unit pixel area and the standard unit pixel biomass coefficient are extracted from a sample photo, and the sample photo and the scene photo are taken under the same conditions;
the computing module is further used for generating unit pixel area biomass of the algae according to the standard unit pixel area, the unit pixel area and the standard unit pixel biomass coefficient, and determining the biomass of the algae in the field photo according to the unit pixel area biomass and the same chroma pixel number;
the calculation module is further used for determining the total biomass of the algae species in the area to be detected according to the proportion of the area of the field photo in the area of the area to be detected and the biomass of the algae species in the field photo; the biomass is the total amount of the biological population, the unit pixel area is the area of each unit pixel point which is preset when the picture is taken, the standard unit pixel area is a constant pixel area value, and the standard unit area biomass coefficient is a fixed attribute of each algae;
still include standard value module for:
acquiring a sample photo of the algae species in the region to be detected which is sampled for multiple times;
generating the chromaticity, the pixel quantity and the standard unit pixel area of each sample according to the sample photo, and generating the chromaticity standard value of the algae according to the chromaticity of the sample;
counting the biomass of the samples, and calculating the biomass coefficient of the unit pixel of each sample according to the biomass of the samples and the number of the pixels; and generating a standard unit pixel biomass coefficient of the algae species according to the biomass coefficient of the unit pixel.
8. The algal biomass detection device of claim 7, wherein the computing module is further configured to:
and generating the total biomass of the region to be measured according to the total biomass of the algae species and the species of the algae species.
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