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Marine fish image recognition method based on deep learning

An image recognition and deep learning technology, applied in the field of marine fish image recognition based on deep learning, can solve problems such as uncertainty of accuracy

Pending Publication Date: 2020-10-23
JIANGNAN UNIV
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Problems solved by technology

It saves time and labor and the problem that the accuracy rate cannot be determined

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  • Marine fish image recognition method based on deep learning
  • Marine fish image recognition method based on deep learning
  • Marine fish image recognition method based on deep learning

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Embodiment Construction

[0044] The invention discloses a method for identifying marine fish, the flow chart of the steps is as follows figure 2 shown, including:

[0045] Step 1, image preprocessing:

[0046] In this paper, the fish image data set collected by the Taiwan Institute of Oceanography in Lanyu Island and other areas from October 1, 2010 to September 30, 2013 was used as the research object of fish target segmentation. The data set is as follows: figure 1 As shown, each fish image in this data set corresponds to a Label, and the black area is the mask corresponding to the fish target, which is recorded as the original image set A. The data set is divided into 3 parts, including training set, verification set and test set, with a ratio of about 8:1:1.

[0047] In order to improve the accuracy, increase the diversity of training samples, and reduce the computational complexity, preprocessing and data enhancement are performed on the obtained dataset pictures, and the original picture set ...

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Abstract

The invention discloses a marine fish image recognition method based on deep learning, and belongs to the field of computer vision and deep learning. According to the invention, a method based on a deep learning network is utilized to realize recognition of marine fish images, and various marine fishes can also be identified even if biological oceans are not understood. Cost is reduced, fishes ofvarious varieties can be recognized, and compared with manual recognition, economic cost is reduced. And the segmentation precision is high: when the test set D is identified, the average recognitionprecision reaches 0.91. And the segmentation speed is high: the data loading time is not calculated, and the time for simply segmenting one image does not exceed 0.4 second. And the model not only canbe used for marine fish image recognition, but also can be used in the field of medical image segmentation, such as fundus retinal vessel segmentation and hippocampus segmentation.

Description

technical field [0001] The invention relates to the fields of computer vision and deep learning, in particular to a deep learning-based marine fish image recognition method. Background technique [0002] As the most important type of marine biological resources, marine fish is not only an important food source for human beings. It is an important material basis for the sustainable development of human society and an important force for maintaining the ecological balance of the earth. In the process of exploring marine fish resources, it is necessary to identify various species of fish, but the fish are of different shapes and sizes, making identification more complicated, and different species of the same type of fish usually have similar shapes , size, texture and other characteristics, it is very likely that misjudgment will occur and cause serious economic losses. Therefore, the research on the recognition technology of marine fish images has important academic value an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/34G06N3/04G06N3/08
CPCG06N3/084G06V10/267G06N3/044G06N3/045G06F18/214
Inventor 肖志勇谷鹏辉何康辉
Owner JIANGNAN UNIV
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