• Proceedings of the Korean Society of Computer Information Conference
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• 2010.07a
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• pp.213-216
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• 2010

불가사리로 인한 어업 피해액은 연간 100억원에 이른다. 전복과 조개 등 어패류를 먹어치우는 불가사리는 강한 번식력에 어장 황폐화의 원인이 되고 있다. 불가사리는 해양 생태계에 뚜렷한 천적이 없고 세계적으로 불가사리의 개체수가 늘어나고 있는 것으로 추정하고 있다. 아무르불가사리는 단일 색상이 아니고 상황에 따라 변하는 변온동물이며, 방사대칭인 특징은 있지만 상황에 따라 외형이 많이 달라지므로 인식하기가 매우 어렵다. 이 논문은 아무르불가사리의 인식을 높이기 위하여 여러 개의 아무르불가사리의 개체들이 있을 때에 아무르불가사리로 인식하기 위한 간단한 기법을 제안하고자 한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.07a
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• pp.307-310
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• 2013

아무르불가사리에 기인한 환경적, 경제적 피해는 해마다 증가되고 있습니다. 우리나라 남해와 동해 바다에 널려 있는 불가사리들이 최근 서해안에서도 급속히 늘어나고 있습니다. 특히 러시아 해역에 서식하는 아무르 불가사리의 개체수가 급증해 어장을 황폐화 시키고 있습니다. 이로 인하여 엄청난 번식력과 포식력을 지닌 아무르불가사리가 살아있는 조개류를 먹어치우고 있어서 어민들의 피해가 막심합니다. 이 논문은 변형되어진 아무르불가사리의 구조적 특징과 방사대칭 특성을 이용하여 불가사리 영상을 복원하는 복원기법으로 불가사리의 인식률을 높게 하여 불가사리 퇴치에 많은 도움이 될 것으로 기대합니다.

• Journal of the Korea Society of Computer and Information
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• v.17 no.10
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• pp.61-69
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• 2012

The population of highly prolific, predatory Asterias amurensis is growing sharply from year to year along the coastline of Korea, a nation surrounded by water on three sides. To make matters worse, the fact that Asterias amurensis devours living fish and shellfish has caused a heavy loss for fishermen involved in the aquaculture industry. What it all boils down to is the significance of technologies allowing one to recognize Asterias amurensis individuals using underwater images for the purpose of exterminating Asterias amurensis or identifying a change in the population of Asterias amurensis or the migration route of Asterias amurensis. An improved Asterias amurensis recognition method based on the morphological characteristics of Asterias amurensis was proposed in this paper. The proposed recognition method aimed at cases marked by the lack of extraction information on concaveness and convexity, which are the morphological characteristics of Asterias amurensis. Extracting all the characteristics of Asterias amurensis from images taken underwater is very difficult. In this respect, the proposed recognition is effective in terms of recognizing individuals in a diversity of Asterias amurensis images. As a result of the experiment, Our proposed method has achieved superior performance with 92.5% than other method.

• Environmental Analysis Health and Toxicology
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• v.18 no.2
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• pp.77-87
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• 2003

성게의 정자를 이용한 생물검정은 해양환경의 독성평가에 널리 사용되고 있다. 그러나, 국내산 성게류의 경우 산란기가 3~11월로 겨울에는 생물검정 실칩이 불가능한 단점이 있다. 이를 보완하기 위하여 겨울에 산란이 가능한 아무르불가사리(Arterias amurensis)를 생물검정용으로 개발하였다. 불가사리류의 생식과 발생과정은 성게류와 유사하므로 성게류를 이용한 실험 방법을 아무르불가사리에 적용할 수 있다. 그러나, 생물검정 실험 결과의 유효성은 실험조건에 의하여 달라질 수 있으므로, 본 연구에서는 실험 결과에 큰 영향을 미칠 수 있는 조건들 즉. 수정막의 발달 시간, 정자와 알의 비율, 정자의 활력이 유지되는 시간, 정자의 노출 시간, 그리고 시료의 염분 범위 등을 최적화 하고자 하였다. 수정막의 발달이 완전하게 이루어지는 최소 시간은 60분이었고, 시료에 주입할 정자와 알의 비율은 3,000이상일 때 수정률이 높게 유지되었다(70%이상). 정자의 활력은 해수에 희석한 후 3시간 이상이 경과하면 급격히 감소하였다. 정자의 노출시간은 20~60분의 범위에서 구리에 대한 $EC_{50}$이 크게 달라지지 않았다(변동계수: 17%).실험에 적절한 시료의 염분 범위는 26~38 psu이었다. 아무르불가사리 정자의 민감도는, 일반적으로 해양환경 평가에 흔히 사용되는 생물들의 민감도 범위의 중간 정도에 해당하였다. 따라서 아무르불가사리의 정자는 해양환경 평가를 위한 생물검정용으로 적합한 것으로 여겨진다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.4
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• pp.922-934
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• 2013

The Amur Starfishes, known as give huge damages to shellfish farms, are being removed by only divers and fish net in the wide areas. Therefore, increasing recognition rates of starfishes are desperately required to remove high amounts of Amur Starfishes effectively. Meanwhile, current technology of obtaining the images of starfish distribution has limitation of obtaining color images due to using visible light in the darkness seabed area. In this research, we have used infrared ray, which is very penetrated, and strong against noise that comes from floating objects under the water, in order to solve current problems. As a result, we have acquired better images to analyze recognition rates of starfishes, and also able to received much satisfied recognition rate results for 88.7% of Amur Starfishes by adopting the most suitable adaptive filter method.

• Journal of the Korea Society of Computer and Information
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• v.16 no.3
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• pp.99-107
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• 2011

The feature extraction of asterias amurensis by using patterns is difficult to extract all the concave and convex features of asterias amurensis nor classify concave and convex. Concave and convex as important structural features of asterias amurensis are the features which should be found and the classification of concave and convex is also necessary for the recognition of asterias amurensis later. Accordingly, this study suggests the technique to extract the features of concave and convex, the main features of asterias amurensis. This technique classifies the concave and convex features by using the multi-directional linear scanning and form the candidate groups of the concave and convex feature points and decide the feature points of the candidate groups and apply convex hull algorithm to the extracted feature points. The suggested technique efficiently extracts the concave and convex features, the main features of asterias amurensis by dividing them. Accordingly, it is expected to contribute to the studies on the recognition of asterias amurensis in the future.

• Food Science and Preservation
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• v.19 no.5
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• pp.727-734
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• 2012

For developing calcium supplement from the harmful marine organism starfish, the physiochemical property of the powdered starfish skeletal plate and the hydrolysis condition of the starfish digestive enzyme were studied. The optimal hydrolysis condition of the starfish digestive enzymes was at $55^{\circ}C$ for 12 h. The bulk densities of the powdered starfish skeletal plates of Asterias amurensis and Asterina pectinifera were $1.1{\pm}0.0$ and $1.2{\pm}0.0g/cm^3$, respectively. As for the median size, the values were 10.738 and $11.799{\mu}m$, respectively. According to the added concentration of sodium polyacrylate, the dispersibility rate of the powdered starfish skeletal plate was shown to be 6h at 0.0%, 3 days at 0.1%, 20 days at 0.2%, and until 30 days at 0.4%. The elementary composition of the powdered starfish skeletal plates from A. amurensis and A. pectinifera mainly consisted of calcium, and it formed 98.95 and 98.52% of the powdered starfish skeletal plates, respectively. The results of the X-ray diffraction (XRD) analysis showed that they were present in the form of $CaCO_3$. Based on these results, it is suggested that starfish skeletal plate can be utilized as a functional material for a calcium supplement.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.67-75
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• 2013

Korea has developed coastal farming industry due to the environmental characteristics that its three sides are surrounded by sea. The damage of coastal farming industry caused by Asterias Amurensis with very strong reproductive rate and predaciousness has increased sharply every year. Moreover, Asterias Amurensis preys on living fish and shellfish and so the damage of fishermen is vern greater. In this paper, a method is proposed to extract effectively the features from the image of Asterias Amurensis acquired in the water. Because the proposed method extracts convex features using 6-directional scanning, it selects a fewer number of feature candidates than the conventional one. In addition, after selecting candidate concave points using the extracted convex features and centers of region, the final concave features are extracted. Due to the features of the starfish which lives in groups, individuals of the starfish in the input image are concentrated. Thus, it is significant to minimize the number of feature candidates extracted from the input image. The experimental results indicate an improvement of the proposed feature extraction method over the conventional one as evidenced by the fact that the feature extract was 88 % of the feature candidates.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.5
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• pp.83-88
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• 2010

This study is going to suggest the technology to recognize a starfish by judging various starfish images. In case of recognition of single objects of the asterias amurensis, a starfish can be judged by using concave features and short line features but in case of multiple objects, it is impossible to extract the features of a starfish using concave features or short line so that it can't be recognized as a starfish. Accordingly, it is going to suggest the recognition technology using the features such as numbers of standard deviation, relative degree standard deviation and valid deviation of a long line by using the region central moment and a long line of multiple objects. As a result of experiments of the suggested technology, there were cases that recognition failed because the conditions of the standard deviation of a long line or the numbers of valid deviation of the relative degree couldn't satisfy the conditions but around 95% of a high recognition rate was shown.

• The Korean Journal of Malacology
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• v.16 no.1_2
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• pp.17-20
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• 2000

Effect of predation of starfish Asterias amurensis and Asterina pectinifera under different water temperature in the recirculating seawater vessel was conducted at the invertebrate culture laboratory of Yosu National University from February 1 to February 25, 2000. The highest activity of Asterias amurensis and Asterina pectinifera according to water temperature was obtained at 14$\^{C}$ and 22$\^{C}$. The average individual numbers of Anadara broughtonii predated by Asterias amurensis and Asterina pectinifera were 2.20 and 1.60 at 6$\^{C}$ , 3.60 and 2.00 at 10$\^{C}$, 7.20 and 2.50 at 14$\^{C}$, 3.40 and 6.80 at 22$\^{C}$, 0.80 and 3.90 at 26$\^{C}$, respectively.