• Journal of Digital Contents Society
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• v.16 no.2
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• pp.235-244
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• 2015

This study proposes a leaf modeling method that uses feature-based warping for efficient generation of various digital leaves. The proposed method uses warping method, one of image processing application techniques that can control various shapes of leaves in an easy, intuitive way, and generate natural patterns of veins efficiently. First, information on approximated contour is detected from a leaf blade image to identify the shape of a blade. Based on this, control line is automatically calculated to be used for feature-based warping. Then, control line-based warping is conducted to modify forms of leaf blade images in an intuitive way, automatically generating leaves of various shapes. And natural vein patterns are generated by applying a contour-based venation growth algorithm from contour information of the modified leaf blade images. This study performs experiments to verify whether various shape of leaves that comprise plants can be efficiently generated using a sample binary image of a blade. Also, we demonstrate that express the natural growth of leaves by applying warping to the growth of the leaf blade.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10c
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• pp.493-495
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• 2004

최근, 디지털 카메라와 디지털 캠코더처럼 디지털 장비가 대중화됨에 따라, 이미지 데이터가 급증하게 되었다. 이와 함께, 이미지 검색에 대한 요구도 증가하게 되었으며, 단순한 텍스트 검색이 아닌 이미지의 특징에 기반한 검색이 요구되고 있다. 특징 기반의 검색은 색상, 질감, 모양 등과 같은 특성에 기반한 검색으로 사람이 일일이 주석을 입력하는 방식보다 자동화가 가능하며, 빠르게 인덱싱할 수 있는 장점이 있다. 본 연구에서는 모양을 이용하여 이미지를 인덱싱 하였으며, 스케치된 식물의 잎 모양의 이미지를 이용 하였다. 또한, 식물의 잎에 뻗어있는 잎맥의 모양을 이용하여 검색의 정확도를 높였다.

• Journal of the Korea Computer Graphics Society
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• v.21 no.5
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• pp.1-10
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• 2015

This study proposes a method of developing authoring tool that can easily and intuitively generate diverse digital leaves that compose virtual landscape. The main system of the proposed authoring tool consists of deformation method for the contour of leaf blade based on image warping, procedural modeling of leaf vein and visualization method based on mathematical model that expresses the color and brightness of leaves. First, the proposed authoring tool receives leaf input image and searches for contour information on the leaf blades. It then designs leaf blade deformation method that can generate diverse shapes of leaf blades in an intuitive structure using feature-based image warping. Based on the computed leaf blade contour, the system implements the generalized procedural modeling method suitable for the authoring tool that generates natural vein patterns appropriate for the leaf blade shape. Finally, the system applies visualization function that can express color and brightness of leaves and their changes over time using a mathematical model based on convolution sums of divisor functions. This paper provides texture support function so that the digital leaves that were generated using the proposed authoring tool can be used in a variety of three-dimensional digital contents field.

• Journal of Digital Convergence
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• v.13 no.8
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• pp.503-514
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• 2015

The effects of Flavonol contents from Ginkgo biloba leaf on anti-atopy activity have not rarely been verified. This study is to investigate the effects of flavonol on Th2 cytokine production in MC/9 mast cells. For this, flavonol was analyzed by ELISA and Real-time PCR. Analysis results showed that flavonol significantly suppressed production of Th2 cytokines(IL-13, MIP-1a) in a dose dependent manner. The mRNA expression of IL-4, IL-5, IL-13, TNF-a were effectively restrained by Flavonol at the concentration 25,50,$100{\mu}g/m{\ell}$. And decrease of expression of NFAT-1, c-jun protein was confirmed by western blot analysis. These results indicate that flavonol has effects of decreasing the Th2 cytokine production in the MC/9 mast cell causing inhibition of transcription factors such as NFAT-1, c-jun. Thus, we would like to brief that flavonol may have the applicability as therapeutic agent for atopic dermatitis.

• Journal of Korea Game Society
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• v.14 no.5
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• pp.97-106
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• 2014

This study proposes an efficient method to model various and diverse leaves required to express digital plants such as flowers and trees in virtual landscape easily and intuitively. The proposed procedural method divides a leaf mainly into a blade and vein thereby detecting contours from binary images that correspond to blades and generating leaves by modeling leaf veins procedurally based on the detected contours. First of all, a complicated leaf vein structure is divided into main veins, lateral veins, and tertiary vein while all veins grow procedurally directing from start auxin to destination auxin. Here, to calculate destination auxin required for growth automatically, approximated contours from binary images that correspond to blades are found thereby calculating candidate destination auxin. Finally, natural digital leaves are generated by applying a color combination method. Through the proposed method, natural and various leaves can be generated and whether the proposed method is efficient or not is verified through the experiment.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.295-297
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• 2023

채식이 점차 보편화되어감에 따라 소비자를 만족시키기 위한 양질의 작물 생산 및 신품종 개발 필요성도 커져가고 있다. 이 때 식물의 건강 상태나 당도, 식감 등의 품질 조사를 위해서는 표현형 데이터 획득이 필수적이다. 표현형이란 식물의 잎과 줄기, 과실 등에서 겉으로 드러나는 형질을 의미하며, 잎맥밀도도 중요한 표현형 중 하나이다. 하지만 이를 연구자가 수작업으로 조사할 경우에는 시간과 노동력 소모가 크며 측정 인력이나 측정 환경에 따른 오차도 큰 문제점이 있다. 따라서 본 연구에서는 디지털 기술을 통해 잎 이미지에서 잎맥을 추출하여 잎맥 밀도를 분석하는 시스템을 구현함으로써 작물 생산 자동화 및 신품종 개발 효율성 향상에 기여하고자 한다.

• Journal of Digital Convergence
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• v.15 no.1
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• pp.347-353
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• 2017

This study aims to figure out how green tea leaves, mulberry leaves, and mate leaves that are often taken around in drinking tea influence on S. mutans known as dental caries causative bacteria. After vaccinating 1% of S. mutans on the extract added badge and incubating 6 hours and 10 hours in $37^{\circ}C$, it calculated absorbance and bacterial colony number. Extract of green tea leaves and mate leaves were added with 0, 0.5, 1.0, 2.0, and 4.0% of concentration. As a result of growth suppressive effect of S. mutans, it may be observed that colony number significantly decreases in higher concentration. When it calculated bacterial colony number with adding 2% extract after 10 hours, 99.0% for green tea leaves, 97.1% for mulberry leaves, and 89.6% for mate leaves appeared.

• Journal of Digital Convergence
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• v.16 no.6
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• pp.353-361
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• 2018

RFW and RFE of castor fruit selected as part of the development of natural antimicrobials and antioxidants yielded 15.8% and 18.4% respectively. In the results of measuring the antimicrobial activity through paper disc method, the antimicrobial activity of castor fruits in ethanol extracts appeared. Especially, the activity was excellent in P. aeruginosa and S. aureus, and antimicrobial activity of C. was 1.5mm up to 16 hours. However, the proliferation of C. was observed again after 24 hours. In the MIC experiment results of RFE, S. aureus and P. aeruginosa showed 96% and 93% of antimicrobial activity, respectively. The DPPH radical scavenging activity of RLW and castor leaf ethanol extract showed $1.8{\pm}0.6%$ and $2.1{\pm}0.7%$ free radical scavenging activity at $1000({\mu}g/m{\ell})$. This study is expected to provide basic data for the development of antimicrobial agents and antioxidants using natural products.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.513-518
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• 2018

In this study, Zea mays L., which were discarded after harvesting in Korea, were collected and used for experiment. The Zea mays L. were dried in the shade and ground before being extracted using two solvents. Subsequently, DPPH, ABTS, the total flavonoid content and the total polyphenol content were measured to analyze antioxidant activity. The diameter of clear zone was measured by using the paper disc diffusion method. The results showed that the ethanol extract had a slightly higher antioxidant and antibacterial activity. The total polyphenol content was measured using gallic acid as standard, and CE(ethanol extract) was found to contain $31.2{\pm}5.2mg\;GAE/g$ of polyphenols, indicating a considerably high activity. When DPPH radical scavenging ability was measured, CE was found to have $4.6{\pm}0.9%$, $6.4{\pm}0.5%$, $22.9{\pm}0.6%$ and $83.2{\pm}0.2%$ at different concentrations of $1{\mu}g/mL$, $10{\mu}g/mL$, $100{\mu}g/mL$, and $1,000{\mu}g/mL$, respectively, with a dependent tendency at the concentration of $1,000{\mu}g/mL$ and a considerably high activity at the concentration of $1,000{\mu}g/mL$. This study is expected to be used as preliminary data to develop new natural antioxidant, antibacteria raw materials, as only little research has been undertaken on Zea mays L., which are mostly discarded after harvesting, while many studies have been so far conducted on corn and corn silks.

• Horticultural Science & Technology
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• v.17 no.2
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• pp.127-130
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• 1999

This study was attempted to develop the algorithm for recognizing fruits acquired from apple tree images with digital camera in sunlight. As the result of L*a*b* color transformation for reducing the effect of sunlight, a* and b* color index were effective to extract apple pixels in tree images and linear discrimination functions with color index a* b* were developed. To recognize fruits from apple pixels, those were classified into 4 patterns according to clustering condition and morphologically filtered. Test results showed that apple fruits unoccluded were exactly recognized, whereas apple fruits occluded with leaves and trunk were miscounted 2 apples on average.