• Environmental Analysis Health and Toxicology
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• v.18 no.2
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• pp.145-153
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• 2003

The goal of this study is to develop a biomarker used in monitoring abnormal behaviors of Japanese medaka (Oryzias latipes) as a model organism caused by hazardous chemicals. Japanese medaka was treated by copper of appropriate sublethal concentrations after starvation for 48 hr. The untreated individuals showed common behavioral characteristics (i.e. , smooth and linear movements). Locomotive activity of the fish was monitored using an image processing and automatic data acquisition system. When treated with copper (100 ppb), the fish showed shaking patterns more frequently. As the concentration of copper increased to 1,000 ppb, activity decreated, and the fish showed an erratic movement. Fish were exposed to copper at various concentrations (0,100 and 1,000 ppb) for 24 hrs, and acetylcholine esterase (AChE) activity was observed. When fish were exposed to 1,000 ppb of copper, the body AChE activities appeared to decrease but the head AChE activities showed little change. Expressions of tyrosine hydroxylase (TH) protein in the different organs from both head (brain) and body (kidney) portions affected by the copper treatment were analyzed using immunohistochemical technique compared with control. Five organs of the fish (olfactory bulb, hyothalamus, optic lobe, pons and myelencephalon regions) showed a relatively strong TH protein expression in the control experiment. A differential expression of TH, however, was observed in the treatment (100 ppb and 1,000 ppb). The treatment (1,000 ppb) significantly suppressed TH protein production in the brain regions. In kidney, however, the same treatment caused little suppression compared with the control. Copper appeared to be less effective in suppression of TH than diazinon, a known TH suppressor. It was concluded that TH could be used at a potential biomarker to monitor the acute copper toxicity in Japanese medaka.

• The Journal of the Korea institute of electronic communication sciences
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• v.5 no.1
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• pp.102-108
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• 2010

With gradual growth of digital image contents industry connected with computer graphics technology, users require high-quality animations similar to real world and want to observe the type of fishes or their swimming types through cyber aquarium and fish encyclopedia. This study designed and developed fish growth process system to express natural and dynamic movement of fish, which is the critical in expressing submarine environment. This system proposes new mopping technique not presented in existing mopping studies as well as simulation using algorithm that newly supplemented existing fish swimming types. In addition, disease infection status is realistically expressed, which may occur depending on environmental factors during their growth process. With comprehensive fish studies, different from existing fish studies, this study examines the overall features of fish with realistic simulation.

• Fisheries and Aquatic Sciences
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• v.25 no.3
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• pp.151-157
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• 2022

Various approaches have been applied to transform aquaculture from a manual, labour-intensive industry to one dependent on automation technologies in the era of the fourth industrial revolution. Technologies associated with the monitoring of physical condition have successfully been applied in most aquafarm facilities; however, real-time biological monitoring systems that can observe fish condition and behaviour are still required. In this study, we used a video recorder placed on top of a fish tank to observe the swimming patterns of rock bream (Oplegnathus fasciatus), first one fish alone and then a group of five fish. Rock bream in the video samples were successfully identified using the you-only-look-once v3 algorithm, which is based on the Darknet-53 convolutional neural network. In addition to recordings of swimming behaviour under normal conditions, the swimming patterns of fish under abnormal conditions were recorded on adding an anaesthetic or lowering the salinity. The abnormal conditions led to changes in the velocity of movement (3.8 ± 0.6 cm/s) involving an initial rapid increase in speed (up to 16.5 ± 3.0 cm/s, upon 2-phenoxyethanol treatment) before the fish stopped moving, as well as changing from swimming upright to dying lying on their sides. Machine learning was applied to datasets consisting of normal or abnormal behaviour patterns, to evaluate the fish behaviour. The proposed algorithm showed a high accuracy (98.1%) in discriminating normal and abnormal rock bream behaviour. We conclude that artificial intelligence-based detection of abnormal behaviour can be applied to develop an automatic bio-management system for use in the aquaculture industry.

• Korean Journal of Remote Sensing
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• v.13 no.2
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• pp.133-150
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• 1997

The purpose of this paper is to develop an algorithm of classification and interpretation of seafloor based on side scan sonar data. The algorithm consists of mosaicking of sonar data using navigation data, correction and compensation of the acouctic amplitude data considering the charateristics of the side scan sonar system, and segmentation of the seafloor using digital image processing techniques. The correction and compensation process is essential because there is usually difference in acoustic amplitudes from the same distance of the port-side and the starboard-side and the amplitudes become attenuated as the distance is increasing. In this paper, proposed is an algorithm of compensating the side scan sonar data, and its result is compared with the mosaicking result without any compensation. The algorithm considers the amplitude characteristics according to the tow-fish's depth as well as the attenuation trend of the side scan sonar along the beam positions. This paper also proposes an image segmentation algorithm based on the texture, where the criterion is the maximum occurence related with gray level. The preliminary experiment has been carried out with the side scan sonar data and its result is demonstrated.

• 제어로봇시스템학회:학술대회논문집
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• 1988.10b
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• pp.822-825
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• 1988

In this paper, we present a system which enables a real-time measurement of the number and also the body length of the fry (baby fish) using a line image sensor. Here, we consider a situation that fry are transported from a pond to another, pond through a pipe. At one position of the pipe a transparent rectanglar channel is mounted. The images of the fry, which run through this rectanglar channel, are detected by a line image sensor. The image signals are digitized to binary ones and the contour of the fry are detected. After that, a real-time image analysis is executed with a digital signal processor. Labeling program analyses the connection of every pixel. The results are transfered to a personal computer and displayed on the online monitor graphically.

• Proceedings of the KAIS Fall Conference
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• 2008.05a
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• pp.273-274
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• 2008

어안 렌즈 카메라로 촬영한 어안 영상은 화각이 일반 카메라 영상보다 크다. 반면 영상의 피사체 왜곡이 커서 사용자의 인지에 자연스럽지 못하므로 원근 영상으로 변환하여 사용하는 것이 일반적이다. 본 논문에서는 선형 스케일링을 이용한 어안 영상의 원근 영상 변환 방법을 제안하였다. 선형 스케일링을 적용한 결과 영상에서 크기 왜곡과 기하학적 왜곡을 감소되는 장점을 보였다.

• Management & Information Systems Review
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• v.2
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• pp.95-106
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• 1998

Color Echo-sounder display signals reflected from underwater objects in eight colors according to the strength of the signal. When the sea bottom is hard due to the presence of rocks, etc, the trailing on the reflection become strong signal and soft to presence of mud, etc the trailing on the reflection become weak signal. Strong signals are displayed in the color range, reddish brown, orange and yellow, in descending order of intensity. Weak signals are displayed in the range blue, light blue, cyan and green, in ascending order of intensity. Image of fish schools at or near the sea bottom vary according to the characteristics of the beam angle setting. When the angle is wide, even fish not near the bottom may be recorded as being on the seabed. A narrow angle should, therefore, be selected when you want to get an accurate recording of fish at or near the sea bottom. The condition of the sea bottom can be determinded more easily when the beam angle is wide and pulse with is long. Though the objects could be verified by the type of reflected signals which have been transformed into digital signals strong middle and weak ones, the experiments have in continue under various condition. Futhermore, the methode of measuring temperature inside the sea ought to be examined.

• Journal of KIISE
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• v.43 no.3
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• pp.346-352
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• 2016

The fishing industry requires many workers to manually carry out the jobs of sorting and cutting fishes. There are therefore many dangerous situations in their working environment and the throughput is inefficiently low. This paper introduces an automatic fin cutting system based on RANSAC that is able to increase the throughput of fish processing jobs. The system proposed in this paper first detects the edges of a fish using a high-pass filter. The boundary lines between fin and body are then detected by adjusting parameters and the threshold of the noise filters. Finally, the optimal cutting lines are detected using RANSAC. Through an experiment with a sample of 50 fishes, this paper shows that the proposed system detects the cutting lines with about 90% accuracy.

• Proceedings of the Korea Society of Environmental Toocicology Conference
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• 2003.10a
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• pp.23-24
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• 2003

The goal of this study is to develop a biomarker used in monitoring abnormal behaviors of Japanese medaka (Oryzias latipes) as a model organism caused by hazardous chemicals. Japanese medaka was treated by copper and fluoranthene of appropriate sublethal concentrations after starvation for 48 hr. In this study we investigated neural toxicity of copper and fluoranthene in Japanese medaka (Oryzias latipes) along with comparative analysis of corresponding behavioral responses. The untreated individuals showed common behavioral characteristics (i.e., smooth and linear movements). Locomotive activity of the fish was monitored using an image processing and automatic data acquisition system. When treated with copper (100 ppb), the fish showed shaking patterns more frequently. As the concentration of copper increased to 1,000 ppb, activity decreased, and the fish showed an erratic movement. The treated with fluoranthene, however, showed stopping and abrupt change of orientation (100 ppb), and severely reduced locomotive activity and enhanced surfacing activity (1,000 ppb).

• Korean Journal of Fisheries and Aquatic Sciences
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• v.29 no.5
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• pp.578-585
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• 1996

Cryo-grinding process comprising hammer mill-shattering and colloid mill-grinding without refrigerant was applied to sardine, pollack and squid muscle frozen at $-20^{\circ}C,\;-40^{\circ}C\;and\;-80^{\circ}C$, respectively and its characteristics were investigated. Particle size distribution of shattered product was shown larger in the order of squid, sardine and pollack and particle size of shattered product frozen at $-80^{\circ}C$ was shown smaller than those at $-40^{\circ}C$. Image of shattered product depended on freezing temperatures and fish species, suggesting particle size distribution of rheological properties can be dependent on fish species or freezing temperature. Yield of cryo- grinded product was in the range of $52.5\~62.5\%$ and Ca content of sardine or pollack product was $6\~8$ times higher than its fillet. Emulsion capacity of cryogrinded product was not decreased during processing. Therefore, this method is thought to be applicable to fish precessing, and preparation of fish paste or powaer.