SPECIES IDENTIFICATION METHOD FOR REEF-BUILDING CORAL AND SYSTEM

Abstract

Disclosed is a species identification method for a reef-building coral and a system.The method includes: establishing a reef-building coral database; acquiring high-definition macro images of a reef-building coral to be identified from multiple shooting angles within a designated sea area; when the high-definition macro images from all shooting angles contain only polyp colonies, counting different morphological categories of the polyp colonies in the high-definition macro images from all shooting angles, calculating the weighted mean of each morphological category based on the different morphological categories of the polyp colonies in the high-definition macro images from all shooting angles, and taking the morphology of a polyp colony with the maximum weighted mean as a first identification feature of the reef-building coral to be identified; and querying a corresponding reef-building coral name and determining the species of the reef-building coral to be identified based on the reef-building coral name.

Description

TECHNICAL FIELD

[01] The present application relates to the technical field of species identification, and in particular to a species identification method for a reefbuilding coral and a system. BACKGROUND ART

[02] A polyp is an individual living independently on a coral and is composed of a calcareous skeleton and a coral polyp. A coral is an independent assemblage formed by colonies of polyps of the same species (or genus). A coral reef is a 'unique underwater~ habitat composed. of living corals and the skeletal remains of dead corals. A reef building' coral refers to the collective term. for coral species within the order Scleractinia of the subclass Hexacorallia that have symbiotic zooxanthellae, calcium carbonate skeletons, and reefbuilding capabilities.

[03] Different species of coral polyps under the class Anthozoa secrete substances that form different types of corals. The color, color arrangement, and contour features of corals have traditionally been used as methods for identifying reefbuilding coral species. However, corals formed by the secretions of the same species of coral polyps can exhibit a wide variety of colors, color arrangements, and contour features. Additionally, corals formed by the secretions of different species of coral polyps may also show a high degree of similarity in terms of color, color arrangement, and contour features.

[04] Therefore, effectively identifying the species of the reefbuilding coral is of great significance for understanding and protecting its survival status and distribution. SUMMARY

[05] An object of the present application is to provide a species identification method for a reefbuilding coral and a system, improving the accuracy of identifying the reef building coral.

[06] In order. to achieve the above object, the present application provides the following solutions.

[07] In a first aspect, the present application provides a species identification method for a reefbuilding coral, including the following steps:

[08] establishing a reefbuilding coral database, where the reefbuilding coral database includes: a polyp colony morphology database, a calice morphology database, and a coral polyp species database;

[09] acquiring highdefinition macro images of a reef building coral to be identified front multiple shooting angles within a designated sea area;

[10] when the highdefinition macro images from all shooting angles contain only polyp colonies, counting different morphological categories of the polyp colonies in the high definition macro images from all shooting angles, calculating the weighted mean of each morphological category based on the different morphological categories of the polyp colonies in the highdefinition macro images from all shooting angles, and taking the morphology of a polyp colony with the maximum weighted mean as a first identification feature of the reefbuilding coral to be identified; [ll] when the highdefinition macro images from all shooting angles include highdefinition macro images that contain only the jpolyp colonies and calices, or~ highdefinition macro images that contain only the polyp colonies and coral polyps, counting different morphological categories of the polyp colonies in such highdefinition macro images, calculating the percentage of each morphological category, and taking the morphology of a polyp colony with the maximum percentage as well as the morphology of the calices or the species of the coral polyps in such highdefinition macro images as a second. identification feature of the reef building coral to be identified;

[12] when the highdefinition macro images from.all shooting angles contain the polyp colonies, the calices, and the coral polyps, identifying the highdefinition macro image from any of the shooting angles and taking the morphology of the identified. polyp colony, the morphology of the identified calice, and the species of the identified coral polyp as a third identification feature of the reefbuilding coral to be identified; and

[13] based on the first identification feature, the second identification feature, or the third identification feature, querying a corresponding reefbuilding coral name from the reefbuilding coral database and determining the species of the reefbuilding coral to be identified based on the reef building coral name.

[14] In a second aspect, the present application further provides a computer system, including: a memory, a processor, and a computer program stored on the memory and executable on the processor. The processor. executes the computer program to implement the species identification method for a reefbuilding coral according to the first aspect.

[15] According to the specific embodiments provided by the present application, the present application discloses the following technical effects.

[16] In the present application, the highdefinition macro images of the reefbuilding coral are shot from multiple angles, and feature analysis is performed. on the reef building coral from.its different perspectives. In addition, for the highdefinition macro image from any of the shooting angles, it is not always possible to fully capture the polyp colonies, the calices, and the coral polyps. In the present application, respective methods for determining identification features are formulated in response to different situations that the highdefinition macro images contain only the polyp colonies, the highdefinition macro images contain only the polyp colonies and the calices / coral polyps, or the highdefinition macro images contain the polyp colonies, the calices, and the coral polyps, clearly classifying the features of the reefbuilding coral under different situations and accurately identifying the species of the reefbuilding coral based on these features. BRIEF DESCRIPTION OF THE DRAWINGS

[17] In order to more clearly illustrate the technical solutions of the embodiments of the present application or the prior art, a brief introduction to the drawings required in the embodiments will be provided below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings also can be obtained. based on these drawings without making any creative efforts.

[18] FIG. 1 is a flowchart of a species identification method for a reefbuilding coral according to an embodiment of the present application; and

[19] FIG. 2 is a structural diagram of a computer system according to an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[20] In order to make the above objectives, characteristics, and advantages of the present application more apparent and understandable, a more detailed illustration of the present application will be provided below in conjunction with the accompanying drawings and the detailed description.

[21] Embodiment 1

[22] As shown in FIG. 1, this embodiment provides a species identification method for a reefbuilding coral, including the following steps:

[23] SI: establishing a reefbuilding coral database, where the reefbuilding coral database includes: a polyp colony morphology database, a calice morphology database, and a coral polyp species database;

[24] S2: acquiring highdefinition macro images of a reef building coral to be identified fronl multiple shooting angles within a designated sea area;

[25] S3: when the highdefinition macro images from all shooting angles contain only polyp colonies, counting different morphological categories of the polyp colonies in the highdefinition macro images from all shooting angles, calculating the weighted mean of each morphological category based on the different morphological categories of the polyp colonies in the highdefinition macro images from all shooting angles, and taking the morphology of a polyp colony with the maximum weighted mean as a first identification feature of the reefbuilding coral to be identified;

[26] S4: when the highdefinition nacro images from all shooting angles include highdefinition macro images that contain only the polyp colonies and calices, or high definition macro images that contain only the polyp colonies and coral polyps, counting different morphological categories of the polyp colonies in such highdefinition macro images, calculating the percentage of each morphological category, and taking the morphology of a polyp colony with the maximum percentage as well as the morphology of the calices or the species of the coral polyps in such highdefinition. macro images as a second identification feature of the reefbuilding coral to be identified;

[27] S5: when the highdefinition nacro images from all shooting angles contain the polyp colonies, the calices, and the coral polyps, identifying' the highdefinition. macro image from any of the shooting angles and taking the morphology of the identified polyp colony, the morphology of the identified calice, and the species of the identified coral polyp as a third identification feature of the reef building coral to be identified; and

[28] S6: based on the first identification feature, the second identification feature, or the third identification feature, querying a corresponding reef-building coral name from the reefbuilding coral database and determining the species of the reefbuilding coral to be identified based on the reefbuilding coral name.

[29] As a preferred implementation, when the corresponding reefbuilding coral name is not found from.the reefbuilding coral database based on the first identification feature, the second identification feature, or the third identification feature, the following steps are performed:

[30] acquiring highdefinition panoramic images from multiple shooting angles within the designated sea area, as well as location information of the designated sea area, wherein the highdefinition panoramic images contain the reefbuilding coral to be identified;

[31] calculating coverage indices of the reefbuilding coral to be identified in the high-definition panoramic images from all shooting angles and computing the coverage index mean of the reef-building coral to be identified based on the coverage indices of the reefbuilding coral to be identified in the highdefinition panoramic images from all shooting angles;

[32] determining distribution characteristics of the reef building coral to be identified based on the coverage index mean of the reefbuilding coral to be identified and the location information of the designated sea area; and

[33] determining the species of the reefbuilding coral to be identified based on the distribution characteristics of the reefbuilding coral to be identified.

[34] Embodiment 2

[35] This embodiment provides a computer device. The computer device can be a server or a terminal, and its internal structure diagram cxn1 be seen in FIG. 2. The computer device includes a processor, a memory, an Input / Output (I / O) interface, and a communication interface. The processor, the memory, and the input / output interface are connected. via a system. bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a nonvolatile storage medimn and an internal memory. The nonvolatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program.in the nonvolatile storage medium. The database of the computer device is configured to store data of the reefbuilding coral. The input / output interface of the computer device is configured to exchange information between the processor and an external device. The communication interface of the computer device is configured to communicate with. an external terminal via a network connection. The computer program is executed by the processor to implement a species identification method for a reefbuilding coral.

[36] In summary, in the present application, the reef building coral is first analyzed from different shooting angles, and then further feature extraction is performed based on biological states that may be captured in the high definition macro images. Finally, based on the analysis and processing from the above two aspects, the species of the reefbuilding coral in the designated sea area is accurately identified. This is of great significance for understanding and protecting the survival status and distribution of the reefbuilding coral.

[37] While the principles and implementations of the present application have been described herein with reference to specific examples, the illustration of the above embodiments is only intended to help understand the methods and core ideas of the present application. Additionally, for those skilled in the art, changes to the specific implementations and the scope of application can be made based on the ideas of the present application. In conclusion, the contents of this specification should not be interpreted.as a limitation on the present application.

Claims

l. Species identification method for a reef-forming ko ral, comprising the following steps: setting up a reef-forming coral database, where in the reef-forming coral database comprises: a polyp colony morphology database, a calice morphology database and a coral polyp species database; obtaining high-definition macro images of a Reef-forming coral to be identified from multiple images corners within a designated sea area; it, when the high-definition macro images from all image angles contain only polyp colonies, counting from afar different morphology categories of the polyp colonies in the high-definition macro images from all shooting angles, the calculating the weighted average of each morphology ca theory based on the various morphology categories of the polyp colonies in the high-definition macro images of from all shooting angles, and taking the morphology of a polyp colony with the maximum weighted average as a first identifying feature of the to be identified reef-forming coral; it, when the high-definition macro images from all shooting angles of high-definition macro images include those only contain the polyp colonies and calices, or high definition macro images showing only the polyp colonies and coral polyps contain, count 'of various morphological categories trees of the polyp colonies in such high definition macro images, calculating the percentage of each macro pological category, and taking the morphology of a polyp colony with the maximum percentage as well as the morphology logy of the calices or the species of coral polyps in such high-definition macro images as a second iden identifying characteristic of the reef-forming colony to be identified raal; it, when the high-definition macro images from all viewing angles of the polyp colonies, the calices, and the coral polyps walked contain, identifying the high-definition macro image from one of the shooting angles and taking the morphology of the identified polyp colony, the morpho logy of the identified calice, and the species of the identified coral polyp as third identification mark of the reef-forming coral to be identified; and the, based on the first identifying feature, the second identifying feature, or the third identifying feature mark, request a corresponding name of reef-forming coral from the reef-forming coral database and determining the species of the reef-forming coral to be identified on basis of the name of reef-forming coral.

2. Species identification method for a reef-forming ko raal according to claim l, where when the corresponding name of reef-forming coral not found in the reef forming coral database based on the first identification signature mark, the second identification feature, or the third identification feature, the following steps are carried out performed: obtaining high-definition panoramic images from multiple shooting angles within the designated sea offers, as well as location information of the designated seagoing vessel offers, where the high-definition panoramic images the identify reef-forming coral containing; calculating coverage indices of the to be identified reef-forming coral in the high-definition panoramic images from all shooting angles and calculating the coverage index average of the reef species to be identified mending coral based on the coverage indices of the to identify reef-forming coral in the high-definition panorama dramatic images from all shooting angles; determining the distribution characteristics of the to identify reef-forming coral based on the coverage index average of the reef species to be identified mende coral and the location information of the designated sea ​​area; and determining the species of the reef to be identified forming coral based on distribution characteristics of the reef-forming coral to be identified.

3. Computer system, comprising: a memory, a pro cessor and a computer program that is stored in the memory and is executable on the processor, where the pro cessor executes the computer program to the species identification cation method for a reef-forming coral according to one of to implement conclusions 1 to 2. ooo FIG. 1

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