• Title/Summary/Keyword: fish image

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Proximate Content Monitoring of Black Soldier Fly Larval (Hermetia illucens) Dry Matter for Feed Material using Short-Wave Infrared Hyperspectral Imaging

  • Juntae Kim;Hary Kurniawan;Mohammad Akbar Faqeerzada;Geonwoo Kim;Hoonsoo Lee;Moon Sung Kim;Insuck Baek;Byoung-Kwan Cho
    • Food Science of Animal Resources
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    • v.43 no.6
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    • pp.1150-1169
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    • 2023
  • Edible insects are gaining popularity as a potential future food source because of their high protein content and efficient use of space. Black soldier fly larvae (BSFL) are noteworthy because they can be used as feed for various animals including reptiles, dogs, fish, chickens, and pigs. However, if the edible insect industry is to advance, we should use automation to reduce labor and increase production. Consequently, there is a growing demand for sensing technologies that can automate the evaluation of insect quality. This study used short-wave infrared (SWIR) hyperspectral imaging to predict the proximate composition of dried BSFL, including moisture, crude protein, crude fat, crude fiber, and crude ash content. The larvae were dried at various temperatures and times, and images were captured using an SWIR camera. A partial least-squares regression (PLSR) model was developed to predict the proximate content. The SWIR-based hyperspectral camera accurately predicted the proximate composition of BSFL from the best preprocessing model; moisture, crude protein, crude fat, crude fiber, and crude ash content were predicted with high accuracy, with R2 values of 0.89 or more, and root mean square error of prediction values were within 2%. Among preprocessing methods, mean normalization and max normalization methods were effective in proximate prediction models. Therefore, SWIR-based hyperspectral cameras can be used to create automated quality management systems for BSFL.

Rear Vehicle Detection Method in Harsh Environment Using Improved Image Information (개선된 영상 정보를 이용한 가혹한 환경에서의 후방 차량 감지 방법)

  • Jeong, Jin-Seong;Kim, Hyun-Tae;Jang, Young-Min;Cho, Sang-Bok
    • Journal of the Institute of Electronics and Information Engineers
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    • v.54 no.1
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    • pp.96-110
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    • 2017
  • Most of vehicle detection studies using the existing general lens or wide-angle lens have a blind spot in the rear detection situation, the image is vulnerable to noise and a variety of external environments. In this paper, we propose a method that is detection in harsh external environment with noise, blind spots, etc. First, using a fish-eye lens will help minimize blind spots compared to the wide-angle lens. When angle of the lens is growing because nonlinear radial distortion also increase, calibration was used after initializing and optimizing the distortion constant in order to ensure accuracy. In addition, the original image was analyzed along with calibration to remove fog and calibrate brightness and thereby enable detection even when visibility is obstructed due to light and dark adaptations from foggy situations or sudden changes in illumination. Fog removal generally takes a considerably significant amount of time to calculate. Thus in order to reduce the calculation time, remove the fog used the major fog removal algorithm Dark Channel Prior. While Gamma Correction was used to calibrate brightness, a brightness and contrast evaluation was conducted on the image in order to determine the Gamma Value needed for correction. The evaluation used only a part instead of the entirety of the image in order to reduce the time allotted to calculation. When the brightness and contrast values were calculated, those values were used to decided Gamma value and to correct the entire image. The brightness correction and fog removal were processed in parallel, and the images were registered as a single image to minimize the calculation time needed for all the processes. Then the feature extraction method HOG was used to detect the vehicle in the corrected image. As a result, it took 0.064 seconds per frame to detect the vehicle using image correction as proposed herein, which showed a 7.5% improvement in detection rate compared to the existing vehicle detection method.

Accuracy of Close-Range Industrial Photogrammetry Using CCTV Type CCD Camera (CCTV유형 CCD 카메라를 이용한 근거리 산업사진측량의 정확도)

  • 이진덕;최용진
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.19 no.3
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    • pp.283-290
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    • 2001
  • This paper demonstrates the performance of industrial precise measurement using the digital close-range photograrmmetric system based on a off-the-shelf CCTV-type CCD camera. The system was constructed with a CCD camera and a PC with a frame grabber, coupled with digital image mensuration and self-calibrating bundle adjustment techniques. An artificial fish reef with cubic shape was taken as an object for the application test of the system and the digital images were acquired on multi-station convergent network around the object. The geometric calibration of the CCD camera and the phototriangulation of the entire surface of the object was carried out simultaneously by means of self-calibrating bundle adjustment technique. Also the system comprising a high resolution still-video camera Kodak DCS, which high accuracy potential has been already established, were employed in similar network condition. Then the results from two different camera systems were compared in the accuracies of phototriangulation.

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Distortion Center Estimation using FOV Model and 2D Pattern (FOV 모델과 2D 패턴을 이용한 왜곡 중심 추정 기법)

  • Seo, Jeong-Goo;Kang, Euiseon
    • The Journal of the Korea Contents Association
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    • v.13 no.8
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    • pp.11-19
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    • 2013
  • This paper presents a simple method to estimate center of distortion and correct radial distortion from fish-eye lens. If the center of image is not locate that of lens in a straight line, the disadvantage of FOV model is low accurate because of correcting distortion without estimated centre of distortion. We propose a method accurately estimating Distortion center using FOV model and 2D pattern from wide angle lens. Our method determines the center of distortion in least error between straight lines and curves with FOV model. The results of experimental measurements on synthetic and real data are presented.

Abundance and Structure of Microbial Loop Components (Bacteria and Protists) in Lakes of Different Trophic Status

  • Chrost, Ryszard J.;Tomasz, Adamczewski;Kalinowska, Krystyna;Skowronska, Agnieszka
    • Journal of Microbiology and Biotechnology
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    • v.19 no.9
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    • pp.858-868
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    • 2009
  • The abundance, biomass, size distribution, and taxonomic composition of bacterial and protistan (heterotrophic and autotrophic nanoflagellates and ciliates) communities were investigated in six lakes of Masurian Lake District (north-eastern Poland) differing in trophic state. Samples were taken from the trophogenic water layer during summer stratification periods. Image analysis techniques with fluorescent in situ hybridization (FISH) as well as [$^3H$]-methyl-thymidine incorporation methods were applied to analyze differences in the composition and activity of bacterial communities. The greatest differences in trophic parameters were found between the humic lake and remaining non-humic ones. The same bacterial and heterotrophic nanoflagellate (HNF) cell size classes dominated in all the studied lakes. However, distinct increases in the contributions of large bacterial (>$1.0{\mu}m$) and HNF (>$10{\mu}m$) cells were observed in eutrophic lakes. The bacterial community was dominated by the ${\beta}$-Proteohacteria group, which accounted for 27% of total DAPI counts. Ciliate communities were largely composed of Oligotrichida. Positive correlations between bacteria and protists, as well as between nanoflagellates (both heterotrophic and autotrophic) and ciliates, suggest that concentrations of food sources may be important in determining the abundance of protists in the studied lakes.

Post-tuning of Sample Position in Common-path Swept-source Optical Coherence Tomography

  • Park, Jae-Seok;Jeong, Myung-Yung;Kim, Chang-Seok
    • Journal of the Optical Society of Korea
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    • v.15 no.4
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    • pp.380-385
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    • 2011
  • Common-path interferometers are widely used for endoscopic optical coherence tomography (OCT) because an arbitrary arm length can be chosen for the endoscopic imaging probe. However, the scheme suffers from the limited range of the sample position distance from the end of the imaging probe because the position between the reference reflector and the sample is limited by the optical path-length difference (OPD) to induce an interference signal. In this study, we developed a novel method for compensating the arbitrary sample position in common-path swept-source OCT by adding an extra Mach-Zehnder interferometer in the post-path of the interfered optical signal. Theoretical analysis and an experimental demonstration of imaging depth tuning for the flexible sample position of an endoscopic OCT image are discussed. After post-tuning of sample position distance, the positioning limitation between the reference reflector and the sample can be solved for various sample positions over a range of 26 mm for the cross-sectional images of a fish eye sample.

Classification and Recognition of Movement Behavior of Animal based on Decision Tree (의사결정나무를 이용한 생물의 행동 패턴 구분과 인식)

  • Lee, Seng-Tai;Kim, Sung-Shin
    • Journal of the Korean Institute of Intelligent Systems
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    • v.15 no.6
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    • pp.682-687
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    • 2005
  • Behavioral sequences of the medaka(Oryzias latipes) were investigated through an image system in response to medaka treated with the insecticide and medaka not treated with the insecticide, diazinon(0.1 mg/1). After much observation, behavioral patterns could be divided into 4 patterns: active smooth, active shaking, inactive smooth, and inactive shaking. These patterns were analyzed by 5 features: speed ratio, x and y axes projection, FFT to angle transition, fractal dimension, and center of mass. Each pattern was classified using decision tree. It provide a natural way to incorporate prior knowledge from human experts in fish behavior, The main focus of this study was to determine whether the decision tree could be useful in interpreting and classifying behavior patterns of the animal.

Panoramic Image Reconstruction using Forward Warping and Bilinear Interpolation Method (Forward Warping과 양선형 보간법을 이용한 파노라마 영상 재구성)

  • Park, Chang-Hil;Shin, Sung-Min;Woo, Young-Woon;Kim, Kwang-Beak
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.05a
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    • pp.65-68
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    • 2011
  • 도시의 방범 대책의 일환으로 거리감시 카메라의 설치가 진행되고 있다. 이때 가능하면 넓은 범위를 포함하고, 사각을 없애기 위해 다수의 카메라가 필요하기 때문에 기기 도입에 많은 비용이 발생하게 된다. 또한 카메라에 모터를 장착하여, 상하 좌우로 움직이는 기계적인 장치를 추가하여, 기기의 대수를 줄이는 경우에도 많은 유지 보수비용이 필요하다. 그러나 360도를 관찰할 수 있는 어안렌즈 카메라를 이용하면 다수의 카메라 대신 한 대의 카메라로 대응할 수 있어 유지보수 비용을 절약할 수 있다. 그러나 어안 렌즈를 이용할 경우에는 영상이 굴절되어 보이기 때문에 감시 카메라용 렌즈로써는 부적합하다. 따라서 본 논문에서는 굴곡 되어 있는 영상의 개선을 위하여 Forward Warping을 이용하여 파노라마 영상으로 변환하고 파노라마 영상으로 변환 중에 손실되는 영상 정보를 복원하기 위하여 양선형 보간법을 적용하여 개선된 파노라마 영상을 얻을 수 있는 방법을 제안한다. 본 논문에서 제안한 어안 렌즈 영상 재구성 방법의 성능을 평가하기 위하여 다양한 어안 렌즈 영상을 대상으로 실험한 결과, 기존의 방법보다 영상을 재구성하는데 효과적인 것을 확인하였다.

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Geometry of the Model Purse Seine in Relation to Enclosed Volume during Hauling Operation

  • Kim Yong-Hae
    • Fisheries and Aquatic Sciences
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    • v.3 no.2
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    • pp.156-162
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    • 2000
  • Model experiments for a purse seine were carried out in order to measure the geometry of net shape and to estimate an enclosed volume by using 1177 scale model purse seine of 12.62m float line from an offshore mackerel purse seine. A model purse seine was set from a net box of shooting equipments and then pursing and hauling net by hauling equipment. The 3- D geometry shape of the purse seine net during hauling operation was measured by video image processing and tension of purse line by load cell. The 3-D geometry of the model purse seine during hauling operation could be represented with variables such as a ratio of shooting diameter or maximum net depth and a ratio of hauling operation time. Horizontal shapes of float line and lead line were varied from a circle after shooting to an ellipse with pursing and hauling. Projected lateral shape of purse line was observed and formulated as a shape of a water drop. The cross sectional shapes of curved net from two directions were varied such as sine function or polynomial curves. Therefore, enclosed volume of a purse seine in relation to fish school behaviour can be approximated using two main variables from relevant equations.

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A Study on the religion and costumes of the Amish (Amish의 종교관과 의복)

  • 박금주
    • Journal of the Korean Society of Costume
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    • v.32
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    • pp.57-68
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    • 1997
  • The purpose of this study was to understand the effects of religion on Amish costumes. For this study I twice visited Amish village in Lancaster Pennsylvania U.S,A in July 1993 and August 1996. The methods of study directed direct observation and literature re-search. The results of this study were as follows: The Amish was livid practically by strict princi- ples of simplicity diligence piety and mutual cooperation. The Amish behavioral code of laws known as ordnung dictated appropriate dress agricultual methods and a routine for daily life. The Amish costumes originated with the 17th century Puritans traditional apparel the European farmer and the clothing style of 19th century Americal,. Amish costumes was fastened with hooks and eyes instead of decorative buttons a diret influence of Puritanism does and did non con-tain ornamental outer pockets. This distinctively simple costumes served as a boundary outsiders to and as a direct ex-pression of their faith. An Amish doll had neither facial features nor fingers and toes as described in scripture "You do not become corrupt and make for yourselves an idol an image of any shape whether formed like a man or a women or like any animal on earth or any bird that flies in the air or like any creature that moves along the ground or any fish in the waters below" In this way Amish costumes was affected by their religion and faith.

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