The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
수산자원의 양과 상태를 알아야 수산자원이 지속가능하게 유지될 수 있다. 수산양식산업계도 자원조사에 나설 계획이다. 조사 결과는 어획량, 어획 횟수, 향후 어획량을 추정하는 데 사용됩니다. 어류 자원 평가를 위해 자갈 해저 영상에서 가리비 영역을 추출하는 방법을 개발하고 수량, 크기, 상태를 자동으로 측정하는 시스템을 개발했습니다. 일본의 가리비 양식장은 자갈과 모래 해저에서 발견됩니다. 해저영상은 시각적 추정이 반드시 필요한 어업조사에 활용되며, 음향측량을 사용하지 않도록 도와줍니다. 그러나 자원의 수량, 크기, 상태를 자동으로 측정하는 기술이 없어 현재 조사 기술은 전문가가 수동으로 측정하는 방식이다. 자동화 기술에는 다양한 문제가 있습니다. 사진 촬영 환경에는 조명의 큰 차이를 포함하여 소음 수준이 높습니다. 자갈, 모래, 점토, 잔해물도 이미지에 포함되어 있습니다. 자갈밭에서는 색상, 줄무늬 패턴, 부채꼴 모양 등 가리비의 특징을 볼 수 있습니다. 본 논문에서는 우리의 이미지 추출 방법의 특징을 설명하고, 결과를 제시하며, 그 유효성을 평가한다.
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Koichiro ENOMOTO, Masashi TODA, Yasuhiro KUWAHARA, "Extraction Method of Scallop Area in Gravel Seabed Images for Fishery Investigation" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 7, pp. 1754-1760, July 2010, doi: 10.1587/transinf.E93.D.1754.
Abstract: The quantity and state of fishery resources must be known so that they can be sustained. The fish culture industry is also planning to investigate resources. The results of investigations are used to estimate the catch size, times fish are caught, and future stocks. We have developed a method for extracting scallop areas from gravel seabed images to assess fish resources and also developed an automatic system that measures their quantities, sizes, and states. Japanese scallop farms for fisheries are found on gravel and sand seabeds. The seabed images are used for fishery investigations, which are absolutely necessary to visually estimate, and help us avoid using the acoustic survey. However, there is no automatic technology to measure the quantities, sizes, and states of resources, and so the current investigation technique is the manual measurement by experts. There are varied problems in automating technique. The photography environments have a high degree of noise, including large differences in lighting. Gravel, sand, clay, and debris are also included in the images. In the gravel field, we can see scallop features, such as colors, striped patterns, and fan-like shapes. This paper describes the features of our image extracting method, presents the results, and evaluates its effectiveness.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.1754/_p
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@ARTICLE{e93-d_7_1754,
author={Koichiro ENOMOTO, Masashi TODA, Yasuhiro KUWAHARA, },
journal={IEICE TRANSACTIONS on Information},
title={Extraction Method of Scallop Area in Gravel Seabed Images for Fishery Investigation},
year={2010},
volume={E93-D},
number={7},
pages={1754-1760},
abstract={The quantity and state of fishery resources must be known so that they can be sustained. The fish culture industry is also planning to investigate resources. The results of investigations are used to estimate the catch size, times fish are caught, and future stocks. We have developed a method for extracting scallop areas from gravel seabed images to assess fish resources and also developed an automatic system that measures their quantities, sizes, and states. Japanese scallop farms for fisheries are found on gravel and sand seabeds. The seabed images are used for fishery investigations, which are absolutely necessary to visually estimate, and help us avoid using the acoustic survey. However, there is no automatic technology to measure the quantities, sizes, and states of resources, and so the current investigation technique is the manual measurement by experts. There are varied problems in automating technique. The photography environments have a high degree of noise, including large differences in lighting. Gravel, sand, clay, and debris are also included in the images. In the gravel field, we can see scallop features, such as colors, striped patterns, and fan-like shapes. This paper describes the features of our image extracting method, presents the results, and evaluates its effectiveness.},
keywords={},
doi={10.1587/transinf.E93.D.1754},
ISSN={1745-1361},
month={July},}
부
TY - JOUR
TI - Extraction Method of Scallop Area in Gravel Seabed Images for Fishery Investigation
T2 - IEICE TRANSACTIONS on Information
SP - 1754
EP - 1760
AU - Koichiro ENOMOTO
AU - Masashi TODA
AU - Yasuhiro KUWAHARA
PY - 2010
DO - 10.1587/transinf.E93.D.1754
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2010
AB - The quantity and state of fishery resources must be known so that they can be sustained. The fish culture industry is also planning to investigate resources. The results of investigations are used to estimate the catch size, times fish are caught, and future stocks. We have developed a method for extracting scallop areas from gravel seabed images to assess fish resources and also developed an automatic system that measures their quantities, sizes, and states. Japanese scallop farms for fisheries are found on gravel and sand seabeds. The seabed images are used for fishery investigations, which are absolutely necessary to visually estimate, and help us avoid using the acoustic survey. However, there is no automatic technology to measure the quantities, sizes, and states of resources, and so the current investigation technique is the manual measurement by experts. There are varied problems in automating technique. The photography environments have a high degree of noise, including large differences in lighting. Gravel, sand, clay, and debris are also included in the images. In the gravel field, we can see scallop features, such as colors, striped patterns, and fan-like shapes. This paper describes the features of our image extracting method, presents the results, and evaluates its effectiveness.
ER -