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Tuna surface shape texture feature automatic extraction method based on computer vision and application of tuna surface shape texture feature automatic extraction method

A computer vision and texture feature technology, applied in computer parts, computing, image data processing and other directions, to achieve the effect of optimizing computing processing efficiency, significant extraction effect, and enriching information data

Pending Publication Date: 2022-07-01
SHANGHAI OCEAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional fish texture feature analysis methods cannot meet the needs of modern technology. With the rapid development of artificial intelligence, the texture quantitative analysis of its computer vision technology can more directly and stably reflect the fish phenotype texture features

Method used

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  • Tuna surface shape texture feature automatic extraction method based on computer vision and application of tuna surface shape texture feature automatic extraction method
  • Tuna surface shape texture feature automatic extraction method based on computer vision and application of tuna surface shape texture feature automatic extraction method
  • Tuna surface shape texture feature automatic extraction method based on computer vision and application of tuna surface shape texture feature automatic extraction method

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Embodiment Construction

[0044] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0045] like Figure 1-6 As shown, an embodiment of the present invention provides a computer vision-based automatic extraction method for tuna surface texture features, including the following important parts: 10 bigeye tuna, 10 yellowfin tuna, 10 albacore tuna, by collecting 30 tuna The two-dimensional digital image, and the image is processed and saved as a JPEG file format with a size of 1000 pixels high and 2000 pixels wide;

[0...

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Abstract

The invention provides a computer vision-based tuna surface shape texture feature automatic extraction method and application. Datum points of three tuna images are pre-positioned through computer vision, and a texture feature region is determined and automatically intercepted by moving the datum points. Gray level conversion and gray level quantization processing are carried out on the texture image, gray level co-occurrence matrix calculation is carried out on the quantized gray level image, and normalization processing is carried out on the gray level co-occurrence matrix; six texture indexes are calculated through a normalized gray-level co-occurrence matrix, the variation trend of the distance and direction of the texture indexes is analyzed, the texture indexes of tuna are analyzed through factors, an earlier-stage foundation is laid for intelligent identification of tuna, and reference is provided for automatic extraction of phenotypic textures of other fishes.

Description

technical field [0001] The invention belongs to the technical field of fish basic biology automation, and relates to a computer vision automatic extraction method and application of tuna surface texture features. Background technique [0002] Texture is a ubiquitous visual phenomenon, which is a basic property of the surface or structure of an object, and different objects have their own texture characteristics. Texture analysis has also been applied in fish biological research, such as fish species classification and identification, fish tissue analysis, fish muscle identification, fish behavior detection, fish feeding assessment and so on. Among them, texture analysis is mainly used in fish species classification and identification, and the acquisition of fish phenotype texture information is the key to fish species classification and identification. Because fish phenotypic texture is naturally generated during the growth process, it is mainly distributed on the surface o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V20/10G06T7/90G06T7/73G06T7/40G06T7/246G06K9/62G06V10/764G06V10/77G06V10/54G06V10/56
CPCG06T7/246G06T7/40G06T7/73G06T7/90G06F18/2135G06F18/24
Inventor 刘必林欧利国陈新军贺琪李汶龙
Owner SHANGHAI OCEAN UNIV