• Journal of Biosystems Engineering
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• 제40권1호
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• pp.89-93
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• 2015

Purpose: Machine vision-based image processing methods can be useful for estimating the fresh weight of plants. This study analyzes the ability of two different image processing methods, i.e., morphological and pixel-value analysis methods, to measure the fresh weight of lettuce grown in a closed hydroponic system. Methods: Polynomial calibration models are developed to relate the number of pixels in images of leaf areas determined by the image processing methods to actual fresh weights of lettuce measured with a digital scale. The study analyzes the ability of the machine vision- based calibration models to predict the fresh weights of lettuce. Results: The coefficients of determination (> 0.93) and standard error of prediction (SEP) values (< 5 g) generated by the two developed models imply that the image processing methods could accurately estimate the fresh weight of each lettuce plant during its growing stage. Conclusions: The results demonstrate that the growing status of a lettuce plant can be estimated using leaf images and regression equations. This shows that a machine vision system installed on a plant growing bed can potentially be used to determine optimal harvest timings for efficient plant growth management.

• 소성∙가공
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• 제9권4호
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• pp.404-412
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• 2000

It is desirable to use the square grid analysis with the aid of the stereo vision and image processing techniques in order to automatically measure the surface-strain distribution over a stamped part. But this method has some inherent problems such as the difficulty in enhancement of bad images, the measurement error due to the digital image resolution and the limit of the area that can be measured at a time. Therefore, it is still hard to measure the strain distribution over the entire surface of a medium-or large-sized stamped part even by using an automated strain measurement system. In this study, several methods which enable to solve these problems considerably without losing accuracy and precision In measurement are suggested. The superposition of images that have different high-lightened or damaged part from each other gives much enhanced image. A new algorithm for constructing of the element connectivity from the line-thinned image helps recognize up to 1,000 elements. And the geometry assembling algorithm including the global error minimization makes it possible to measure a large specimen with reliability and efficiency.

• 전기전자학회논문지
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• 제24권1호
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• pp.254-259
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• 2020

본 논문은 사전에 학습된 기억으로 공감각 현상을 지각할 수 있는 의도적인 공감각으로 영상에서 음악으로 변환하는 시스템을 구현하였다. 영상에서 변환정보로 색상(Color), 질감(Texture), 모양(Shape)을 사용하여 음악의 멜로디(Melody), 하모니(Harmony), 리듬(Rhythm) 정보로 변환하였다. 정적인 영상에서 단조로운 음이 반복되는 것을 최소화하고 영상에 있는 정보를 표현하기 위해 색상의 분포도에 따라 확률적으로 멜로디를 선택하여 출력함으로써 자연스럽게 음을 구성할 수 있도록 하였고, 영상에서 질감은 통계적 질감 특징 추출방식인 GLCM(Gray-Level Co-occurrence Matrix)의 7가지 특징으로 하모니의 장조와 단조를 표현하였다. 마지막으로 모양은 영상의 외곽선을 추출한 후 주파수 성분 분석인 허프 변환(Hough Transform)을 이용해 선 성분을 검출하여 각도의 분포에 따라 리듬을 선택하는 방식으로 음악을 생성하였다.

• 산업경영시스템학회지
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• 제23권60호
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• pp.1-9
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• 2000

This paper deals with the difference between human sensibility collected from real product and that through graphic image(photographs and graphic images on CRT monitor) on the same automotive interior. The objective of this study is to verify the possibility that, If there are some restrictions in collecting human sensibility through real product directly, they can be overcome by using graphic image instead, making it easy to collect and analyze human sensibility so as to reflect consumers sensibility in the design of automotive interior, and also comparing the result between real product and graphic image on CRT monitor in order to confirm the potentiality of developing a remote human sensibility survey system through Internet. Therefore two experiments were conducted and the object for experiments was limited to automotive interior. The analysis results showed that there were significant differences between graphic image and real product in case of total interior and IPC(Instrument Panel Center) and no significant difference in case of display panel. Also, there were no significant difference when the subject group was female(housewife). To conclude, we can infer, in case of display panel, that it is possible to replace real product with graphic image to extract similar results on human sensibility and to collect human sensibility through Internet.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 V
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• pp.2529-2532
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• 2003

The quality of agricultural products is represented a degree of freshness and a special qualify that has a close relation to commercial value. To grade tomatoes, it used to nondestructive equipment of a charge-coupled device(CCD) camera and near-infrared(NIR) spectrum analysis method. The NIR spectrum analysis method is used to determine internal qualities such as a brix and an acidity. The CCD camera is used to measure external qualities like color and a size of tomatoes. This paper explaines the structure and movement of the automatic grade system and applies the algorithm for deformed tomtatoes and characteristics of tomatoes through image processing to the grade system.

• 감성과학
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• 제5권3호
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• pp.11-20
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• 2002

There are Two new models developed for objective evaluation of fabric color patterns by applying a multiple regression analysis and an adaptive foray-rule-based system. The physical features of fabric color patterns are extracted through digital image processing and the emotional features are collected based on the psychological experiments of Soen[3, 4]. The principle physical features are hue, saturation, intensity and the texture of color patterns. The emotional features arc represented thirteen pairs of adverse adjectives. The multiple regression analyses and the adaptive fuzzy system are used as a tool to analyze the relations between physical and emotional features. As a result, both of the proposed models show competent performance for the approximation and the similar linguistic interpretation to the Soen's psychological experiments.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2000년도 추계학술대회 논문집
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• pp.771-774
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• 2000

Coiling processes of filaments need precise work and standardization. It is important to maintain equal pitch of filaments. Uniform pitch of filaments is one of the dominant elements of life time and efficiency of bulbs. First coiling process of filament wires is modeled by nonlinear contact problem between filaments and mandrel. Analysis of coiling process using finite element method is conducted to consider manufacturing parameters and pitch distance is calculated under the given conditions. Also image detecting system is developed to inspect uniformity of pitch. This system will be used to inspect quality of filaments during coiling processes.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송∙미디어공학회 2019년도 하계학술대회
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• pp.173-175
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• 2019

Animated images formats such as WebP are highly portable graphics formats that are being used everywhere on the Internet. Despite their small sizes and duration, WebP image previews the video without watching the entire content with minimum bandwidth. This paper proposed a novel method to generate personalized WebP images in the client side using its computation resources. The proposed system automatically extracts the WebP image from climax point using music analysis. Based on user interest, the system predicts the genre using Convolutional Neural Network (CNN). The proposed method can easily integrate with streaming platforms such as YouTube, Netflix, Hulu, and others.

• 대한원격탐사학회지
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• 제35권3호
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• pp.471-482
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• 2019

달 탐사용 고해상도 스테레오 카메라의 임무는 달 궤도선 및 착륙 선에 탑재되어 달 표면의 3차원 지형정보를 제공하는데 있다. 이를 통해, 달 착륙 후보지를 탐색하고 착륙 시에는 달 표면 근접에 따른 근거리 입체영상을 실시간으로 제공하여 정확한 지점에 착륙이 가능하도록 한다. 본 논문에서는 달 탐사선에 탑재되는 달 탐사용 고해상도 카메라 개발을 위한 지상모델인 다기능 스테레오 카메라를 활용하여 고해상도 스테레오 카메라에 요구되는 임무를 검증하고 결과를 분석하기 위해 지상검증 및 분석 시스템을 제안하였다. 지상검증 및 분석 시스템은 임무 검증을 위한 임무검증항목과 시험계획을 제공하며, 시험 수행 후 결과를 분석하게 된다. 이를 위해 본 논문에서는 달 지형과 유사한 지역을 대상으로 지상 임무항목시험 계획을 세우고, 항공촬영을 통해 스테레오 영상을 획득하였다. 분석장치를 통해 스테레오 영상으로부터 영상을 보정 및 매칭 후 수치표고모델(DEM)을 추출하고 3차원 영상을 생성하여 결과를 분석하였다. 달 탐사용 고해상도 카메라에 요구되는 임무수행항목이 검증되었고, 스테레오 영상을 처리할 수 있는 지상처리분석 시스템이 확보 되었다.

• Fisheries and Aquatic Sciences
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• 제2권2호
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• pp.172-175
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• 1999

Relative DNA contents in some harmful algae were measured using DAPI staining and image analysis system. This method was useful to identify some morphologically similar species and isolates from harmful algal blooms (HABs). In exponential phase, Prorocentrum micans had higher relative DNA content (RD) of $1.83\pm0.52$ than any other isolates, followed by Cochlodinium polykrikoides $(1.10\pm0.46)$ Alexandrium tamarense $(0.93\pm0.32)$ Gyrodinium impudicum $(0.56\pm0.17)$, Scrippsiella trochoidea $(0.41\pm0.26)$ and P. minimum$(0.05\pm0.01)$. When they were fixed with Lugol's solution, it was difficult to d,iscern C. polykrikoides from G. impudicum under the light microscope, but the DNA contents were quite different in two species. C. polykrikoides contained about twice as much RD as G. impudicum under the same culture conditions and exponential phase. DAPI­stained DNA feature in C. polykrikodes showed concentrated in the peripheral part of the cell, but in G. impudicum showed a compact structure in the central part. Although A. tamarense and S. trochoidea were morphologically similar under the light microscope, nuclear DNA content of A. tamarense was twice as much as that of S. trochoidea.