Coral distribution and health condition evaluation method based on deep clustering analysis

A technology of health status and cluster analysis, applied in image analysis, image data processing, instruments, etc., can solve problems such as difficult coral research

Active Publication Date: 2020-03-17
HARBIN ENG UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that it is difficult to carry out coral research on a single seabed image, improve the accuracy and calculation efficiency of obtaining the distribution of corals in the ocean, and can A Coral Distribution and Health Assessment Method Based on Deep Cluster Analysis for High-Precision Assessment of Coral Health

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  • Coral distribution and health condition evaluation method based on deep clustering analysis
  • Coral distribution and health condition evaluation method based on deep clustering analysis
  • Coral distribution and health condition evaluation method based on deep clustering analysis

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Embodiment Construction

[0085] The present invention will be further described below in conjunction with the accompanying drawings.

[0086] In recent years, with the rapid development of underwater robots, people have carried out a lot of research on the ocean. Use underwater robots to collect videos of warm-water corals to study the distribution and health of corals. However, when acquiring video images of corals, due to the strong scattering and absorption characteristics of light in the process of propagating in water, the light is weak, which greatly limits the visual range and distance of the camera's imaging of the seabed. As a result, a single seabed image can only acquire and record information within a limited distance and viewing angle, which poses difficulties for coral research. Based on this problem, the present invention proposes a method for assessing coral distribution and health status based on deep clustering analysis. The collected video images are stitched into larger images thr...

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Abstract

The invention belongs to the technical field of marine coral biological research, and particularly relates to a coral distribution and health condition evaluation method based on deep clustering analysis. Acquired video images are spliced into a large image through an improved image splicing algorithm, target recognition detection is performed on warm water coral through a deep learning algorithm,then image segmentation is performed on a recognition target through a k-means segmentation algorithm, and finally coral distribution and health conditions are researched. According to the method provided by the invention, the image splicing efficiency is improved; smooth seamless splicing of the coral images is realized; the coral in the image is rapidly detected by using the YOLOV3, the coral coverage rate is improved by calculating the coral area through image segmentation, so that the overall calculation rate of coral distribution and health conditions is greatly improved, and a good effect is achieved for researching the coral reef distribution condition and health conditions.

Description

technical field [0001] The invention belongs to the technical field of marine coral biology research, and in particular relates to a coral distribution and health status assessment method based on depth clustering analysis. Background technique [0002] Coral reefs are one of the ecosystems with the richest biological species and the highest biodiversity in the ocean. They have a very high level of productivity and are a treasure house of marine biological resources that is as famous as the tropical rainforests on land. Therefore, they are also called tropical rainforests in the ocean. There are tens of thousands of marine organisms inhabiting the coral reef area, which is of great significance to the optimization of the marine environment and marine ecosystem. [0003] Although the global area of ​​coral reefs reaches 2×10 8 km 2 , but at present, the coral reefs are in a state of continuous decline and deterioration. Affected by global climate and environmental changes, ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/46G06K9/62
CPCG06T7/0002G06T2207/20081G06V10/56G06V10/462G06V10/751G06F18/23213
Inventor 盛明伟李俊秦洪德万磊王玮哲刘奕晖崔壮武万琦
Owner HARBIN ENG UNIV
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