• Title/Summary/Keyword: image analysis system

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Review of Soil Structure Quantification from Soil Images

  • Chun, Hyen-Chung;Gimenez, Daniel;Yoon, Sung-Won;Park, Chan-Won;Moon, Yong-Hee;Sonn, Yeon-Kyu;Hyun, Byung-Keun
    • Korean Journal of Soil Science and Fertilizer
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    • v.44 no.3
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    • pp.517-526
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    • 2011
  • Soil structure plays an important role in ecological system, since it controls transport and storage of air, gas, nutrients and solutions. The study of soil structure requires an understanding of the interrelations and interactions between the diverse soil components at various levels of organization. Investigations of the spatial distribution of pore/particle arrangements and the geometry of soil pore space can provide important information regarding ecological or crop system. Because of conveniences in image analyses and accuracy, these investigations have been thrived for a long time. Image analyses from soil sections through impregnated blocks of undisturbed soil (2 dimensional image analyses) or from 3 dimensional scanned soils by computer tomography allow quantitative assessment of the pore space. Image analysis techniques can be used to classify pore types and quantify pore structure without inaccurate or hard labor in laboratory. In this paper, the last 50 years of the soil image analyses have been presented and measurements on various soil scales were introduced, as well. In addition to history of image analyses, a couple of examples for soil image analyses were displayed. The discussion was made on the applications of image analyses and techniques to quantify pore/soil structure.

Sign Language Transformation System based on a Morpheme Analysis (형태소분석에 기초한 수화영상변환시스템에 관한 연구)

  • Lee, Yong-Dong;Kim, Hyoung-Geun;Jeong, Woon-Dal
    • The Journal of the Acoustical Society of Korea
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    • v.15 no.6
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    • pp.90-98
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    • 1996
  • In this paper we have proposed the sign language transformation system for deaf based on a morpheme analysis. The proposed system extracts phoneme components and connection informations of the input character sequence by using a morpheme analysis. And then the sign image obtained by component analysis is correctly and automatically generated through the sign image database. For the effective sign language transformation, the language description dictionary which consists of a morpheme analysis part for analysis of input character sequence and sign language description part for reference of sign language pattern is costructed. To avoid the duplicating sign language pattern, the pattern is classified a basic, a compound and a similar sign word. The computer simulation shows the usefulness of the proposed system.

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Analyzing Refractory Bricks of Ladles using Infrared Images (열화상 영상을 이용한 래들의 내화물 열화도 분석)

  • Lee, Sang Jun;Jeon, Yong-Ju;Kim, Sang Woo
    • Journal of Institute of Control, Robotics and Systems
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    • v.21 no.4
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    • pp.291-300
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    • 2015
  • In the steel manufacturing process heat-endurance deterioration of a ladle used to cause a big accident. In this paper, an infrared imaging system and image analyzing procedure are proposed for inspecting refractory bricks of a ladle. The proposed algorithm contains following three parts: two-stage image selection procedure, reference point detection, and analysis of heat-endurance deterioration. Experiments were conducted with real data from a steel plant and detailed configuration of infrared imaging system was presented.

Analysis of Water Stress of Greenhouse Crops Using Infrared Thermography (열영상 정보를 이용한 온실 재배 작물의 수분 스트레스 분석)

  • 김기영;류관희;채희연
    • Journal of Biosystems Engineering
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    • v.24 no.5
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    • pp.439-444
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    • 1999
  • Automated greenhouse production systems often require crop growth monitoring involving accurate quantification of plant physiological properties. Conventional methods are usually burdensome, inaccurate, and harmful to crops. A thermal image analysis system can accomplish rapid and accurate measurements of physiological-property changes of stressed crops. In this research a thermal imaging system was used to measure the leaf-temperature changes of several crops according to water deficit. Thermal images were obtained from lettuce, cucumber, pepper, and chinese cabbage plants. Results showed that there were significant differences in the temperature of stressed plants and non-stressed plants. The temperature differences between these two group of plants were 0.7 to 3$^{\circ}C$ according to species.

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Aerial image analysis of replicated linewidths patterned by synchrontron X-ray proximity lithography (싱크로트론 X선 근접 리소그래피에 의하여 전사되어진 라인의 폭에 대한 에어리얼 이미지 시뮬레이션)

  • 이재웅;서용덕;김오윤;최보경;김희상
    • Journal of the Korean Institute of Telematics and Electronics D
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    • v.35D no.2
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    • pp.70-77
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    • 1998
  • An aerial image simulator for the synchroton X-ray proximity lithography system has been developed. The modal expansion method and Rayleigh-Sommerfeld diffraction theory are used in calculating the aerial image which is formed by diffracting of the partially coherent X-ray, Experimental results of PALC(POSTECH Advanced Lithography Center) lighography system and simulated results are compared. The experimental and theoretical values of the width of replicated lines are consisted with the relative error less than ~5%. The method to determine the divergent angle of X-ray from the analysis of the width of replicated lines is given.

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Histogram Learning-based Solar Power Plant Failure Reading System (히스토그램 학습 기반 태양광발전소 고장 판독 시스템)

  • Youm, SungKwan;Shin, Kwang-Seong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.572-573
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    • 2021
  • By optimizing the development of IoT-type thermal image-based photovoltaic fault detection equipment and interworking with drones using a drone with an intelligent path movement function, real-time analysis of the acquired image data facilitates fault reading of solar power plants. , design a system that can read out the failure of a solar panel using the image subtraction analysis technique and the presentation of the basic technology that can improve the power generation rate of the solar power plant and make an efficient maintenance model.

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DPICM subprojectile counting technique using image analysis of infrared camera (적외선 영상해석을 이용한 이중목적탄 자탄계수 계측기법연구)

  • Park, Won-Woo;Choi, Ju-Ho;Lyou, Joon
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.11-16
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    • 1997
  • This paper describes the grenade counting system developed for DPICM submunition analysis using the infrared video streams, and its some video stream processing technique. The video stream data processing procedure consists of four sequences; Analog infrared video stream recording, video stream capture, video stream pre-processing, and video stream analysis including the grenade counting. Some applications of this algorithms to real bursting test has shown the possibility of automation for submunition counting.

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The Correlation Analysis of Physical Characteristics on Human Sensibility Space (감성적 의미공간상의 물리특성간 상관분석)

  • 김정만;김병극
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.22 no.52
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    • pp.241-246
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    • 1999
  • In this study, to specify an evaluation of human sensibility, the types of color, intensity of illuminations and lights consisting work environmental condition are decided, and image data from examining the change of human sensibility followed by changes of the above three conditions are obtained. Using the factor analysis and quantification theory in multi-variate analysis type of Sensibility Ergonomics, determinating the structure of factors, specifying the relations of environmental conditions and factors can be done so that the structure of image on human sensibility space with the change of environmental conditions is analyzed.

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The Classification Accuracy Improvement of Satellite Imagery Using Wavelet Based Texture Fusion Image (웨이브릿 기반 텍스처 융합 영상을 이용한 위성영상 자료의 분류 정확도 향상 연구)

  • Hwang, Hwa-Jeong;Lee, Ki-Won;Kwon, Byung-Doo;Yoo, Hee-Young
    • Korean Journal of Remote Sensing
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    • v.23 no.2
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    • pp.103-111
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    • 2007
  • The spectral information based image analysis, visual interpretation and automatic classification have been widely carried out so far for remote sensing data processing. Yet recently, many researchers have tried to extract the spatial information which cannot be expressed directly in the image itself. Using the texture and wavelet scheme, we made a wavelet-based texture fusion image which includes the advantages of each scheme. Moreover, using these schemes, we carried out image classification for the urban spatial analysis and the geological structure analysis around the caldera area. These two case studies showed that image classification accuracy of texture image and wavelet-based texture fusion image is better than that of using only raw image. In case of the urban area using high resolution image, as both texture and wavelet based texture fusion image are added to the original image, the classification accuracy is the highest. Because detailed spatial information is applied to the urban area where detail pixel variation is very significant. In case of the geological structure analysis using middle and low resolution image, the images added by only texture image showed the highest classification accuracy. It is interpreted to be necessary to simplify the information such as elevation variation, thermal distribution, on the occasion of analyzing the relatively larger geological structure like a caldera. Therefore, in the image analysis using spatial information, each spatial information analysis method should be carefully selected by considering the characteristics of the satellite images and the purpose of study.

Street Fashion Information Analysis System Design Using Data Fusion

  • Park, Hye-Won;Park, Hee-Chang
    • Journal of the Korean Data and Information Science Society
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    • v.16 no.4
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    • pp.879-888
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    • 2005
  • Fashion is hard to expect owing to the rapid change in accordance with consumer taste and environment, and has a tendency toward variety and individuality. Especially street fashion of 21st century is not being regarded as one of the subcultures but is playing an important role as a fountainhead of fashion trend. Therefore, Searching and analyzing street fashions helps us to understand the popular fashions of the next season and also it is important in understanding the consumer fashion sense and commercial area. So, we need to understand fashion styles quantitatively and qualitatively by providing visual data and dividing images. There are many kinds of data in street fashion information. The purpose of this study is to design and implementation for street fashion information analysis system using data fusion. We can show visual information of customer's viewpoint because the system can analyze the fused data for image data and survey data.

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